TB full model

Name: TB

Description: A full TB model including dynamics

Compartments

Compartment: Initialization population size

  • Code name: initj
  • Is junction
  • Appears in the databook
  • Databook values will be used for model initialization
  • Description:
  • Data entry guidance: Enter the total number of people in each population

Compartment: Susceptible

  • Code name: sus
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Vaccinated

  • Code name: vac
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Early latent untreated (diagnosable)

  • Code name: lteu
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Early latent on treatment

  • Code name: ltet
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Junction: Latent early treatment outcome

  • Code name: ltetoj
  • Is junction
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Late latent untreated (diagnosable)

  • Code name: ltlu
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Late latent on treatment

  • Code name: ltlt
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Junction: Latent late treatment outcome

  • Code name: ltltoj
  • Is junction
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Susceptible (diagnosis restricted)

  • Code name: susx
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Early latent untreated (diagnosis restricted)

  • Code name: ltex
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Late latent untreated (diagnosis restricted)

  • Code name: ltlx
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Junction: Smear disaggregator for new active

  • Code name: acj
  • Is junction
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Junction: Strain disaggregator for new smear positive

  • Code name: spj
  • Is junction
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SP-DS undiagnosed

  • Code name: spdu
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SP-DS diagnosed but not on treatment

  • Code name: spdd
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SP-DS on treatment

  • Code name: spdt
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Junction: SP-DS treatment outcome

  • Code name: spdtoj
  • Is junction
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SP-MDR undiagnosed

  • Code name: spmu
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SP-MDR diagnosed but not on treatment

  • Code name: spmd
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SP-MDR on treatment

  • Code name: spmt
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Junction: SP-MDR treatment outcome

  • Code name: spmtoj
  • Is junction
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SP-XDR undiagnosed

  • Code name: spxu
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SP-XDR diagnosed but not on treatment

  • Code name: spxd
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SP-XDR on treatment

  • Code name: spxt
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Junction: SP-XDR treatment outcome

  • Code name: spxtoj
  • Is junction
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Junction: Strain disaggregator for new smear negative

  • Code name: snj
  • Is junction
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SN-DS undiagnosed

  • Code name: sndu
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SN-DS diagnosed but not on treatment

  • Code name: sndd
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SN-DS on treatment

  • Code name: sndt
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Junction: SN-DS treatment outcome

  • Code name: sndtoj
  • Is junction
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SN-MDR undiagnosed

  • Code name: snmu
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SN-MDR diagnosed but not on treatment

  • Code name: snmd
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SN-MDR on treatment

  • Code name: snmt
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Junction: SN-MDR treatment outcome

  • Code name: snmtoj
  • Is junction
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SN-XDR undiagnosed

  • Code name: snxu
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SN-XDR diagnosed but not on treatment

  • Code name: snxd
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: SN-XDR on treatment

  • Code name: snxt
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Junction: SN-XDR treatment outcome

  • Code name: snxtoj
  • Is junction
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Completed treatment (active)

  • Code name: acr
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Source: Origin of births

  • Code name: bir
  • Is source
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Source: Origin of immigration

  • Code name: immi
  • Is source
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Junction: Infection status of immigrants

  • Code name: imj
  • Is junction
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Sink: Cumulative TB deaths over simulation

  • Code name: ddis
  • Is sink
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Sink: Cumulative non-TB deaths over simulation

  • Code name: doth
  • Is sink
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Compartment: Sink: Cumulative emigration over simulation

  • Code name: emi
  • Is sink
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristics

Characteristic: Latent TB infections on treatment

  • Code name: ltt_inf
  • Includes:
    • Early latent on treatment
    • Late latent on treatment
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected diagnosis restricted latent infections

  • Code name: ltx_inf
  • Includes:
    • Early latent untreated (diagnosis restricted)
    • Late latent untreated (diagnosis restricted)
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected undiagnosed latent infections

  • Code name: lt_undiag
  • Includes:
    • Early latent untreated (diagnosable)
    • Late latent untreated (diagnosable)
    • Early latent untreated (diagnosis restricted)
    • Late latent untreated (diagnosis restricted)
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected early latent infections

  • Code name: lte_inf
  • Includes:
    • Early latent untreated (diagnosable)
    • Early latent on treatment
    • Early latent untreated (diagnosis restricted)
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected late latent infections

  • Code name: ltl_inf
  • Includes:
    • Late latent untreated (diagnosable)
    • Late latent on treatment
    • Late latent untreated (diagnosis restricted)
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected latent infections

  • Code name: lt_inf
  • Includes:
    • Suspected early latent infections
    • Suspected late latent infections
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Known SP-DS infections

  • Code name: spdk_inf
  • Includes:
    • SP-DS diagnosed but not on treatment
    • SP-DS on treatment
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Known SP-MDR infections

  • Code name: spmk_inf
  • Includes:
    • SP-MDR diagnosed but not on treatment
    • SP-MDR on treatment
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Known SP-XDR infections

  • Code name: spxk_inf
  • Includes:
    • SP-XDR diagnosed but not on treatment
    • SP-XDR on treatment
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Known SN-DS infections

  • Code name: sndk_inf
  • Includes:
    • SN-DS diagnosed but not on treatment
    • SN-DS on treatment
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Known SN-MDR infections

  • Code name: snmk_inf
  • Includes:
    • SN-MDR diagnosed but not on treatment
    • SN-MDR on treatment
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Known SN-XDR infections

  • Code name: snxk_inf
  • Includes:
    • SN-XDR diagnosed but not on treatment
    • SN-XDR on treatment
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Known active TB infections

  • Code name: known_inf
  • Includes:
    • Known SP-DS infections
    • Known SP-MDR infections
    • Known SP-XDR infections
    • Known SN-DS infections
    • Known SN-MDR infections
    • Known SN-XDR infections
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Diagnosed number of living people that developed active TB

  • Code name: known_cascade
  • Includes:
    • Known active TB infections
    • Completed treatment (active)
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SP-DS infections

  • Code name: spd_inf
  • Includes:
    • SP-DS undiagnosed
    • Known SP-DS infections
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SP-MD infections

  • Code name: spm_inf
  • Includes:
    • SP-MDR undiagnosed
    • Known SP-MDR infections
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SP-XDR infections

  • Code name: spx_inf
  • Includes:
    • SP-XDR undiagnosed
    • Known SP-XDR infections
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SN-DS infections

  • Code name: snd_inf
  • Includes:
    • SN-DS undiagnosed
    • Known SN-DS infections
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SN-MDR infections

  • Code name: snm_inf
  • Includes:
    • SN-MDR undiagnosed
    • Known SN-MDR infections
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SN-XDR infections

  • Code name: snx_inf
  • Includes:
    • SN-XDR undiagnosed
    • Known SN-XDR infections
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SP infections

  • Code name: sp_inf
  • Includes:
    • Junction: Strain disaggregator for new smear positive
    • Suspected SP-DS infections
    • Suspected SP-MD infections
    • Suspected SP-XDR infections
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SN infections

  • Code name: sn_inf
  • Includes:
    • Junction: Strain disaggregator for new smear negative
    • Suspected SN-DS infections
    • Suspected SN-MDR infections
    • Suspected SN-XDR infections
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Estimated number of people with DS TB

  • Code name: ds_inf
  • Includes:
    • Suspected SP-DS infections
    • Suspected SN-DS infections
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Estimated number of people with MDR TB

  • Code name: mdr_inf
  • Includes:
    • Suspected SP-MD infections
    • Suspected SN-MDR infections
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Estimated number of people with XDR TB

  • Code name: xdr_inf
  • Includes:
    • Suspected SP-XDR infections
    • Suspected SN-XDR infections
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Estimated number of people with DR TB

  • Code name: dr_inf
  • Includes:
    • Estimated number of people with MDR TB
    • Estimated number of people with XDR TB
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Estimated number of people with active TB

  • Code name: ac_inf
  • Includes:
    • Junction: Smear disaggregator for new active
    • Suspected SP infections
    • Suspected SN infections
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Estimated number of living people that developed active TB

  • Code name: ac_cascade
  • Includes:
    • Estimated number of people with active TB
    • Completed treatment (active)
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Population size

  • Code name: alive
  • Includes:
    • Initialization population size
    • Susceptible
    • Vaccinated
    • Susceptible (diagnosis restricted)
    • Completed treatment (active)
    • Suspected latent infections
    • Estimated number of people with active TB
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected untreated SP-DS infections

  • Code name: spd_infx
  • Includes:
    • SP-DS undiagnosed
    • SP-DS diagnosed but not on treatment
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected untreated SP-MDR infections

  • Code name: spm_infx
  • Includes:
    • SP-MDR undiagnosed
    • SP-MDR diagnosed but not on treatment
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected untreated SP-XDR infections

  • Code name: spx_infx
  • Includes:
    • SP-XDR undiagnosed
    • SP-XDR diagnosed but not on treatment
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected untreated SN-DS infections

  • Code name: snd_infx
  • Includes:
    • SN-DS undiagnosed
    • SN-DS diagnosed but not on treatment
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected untreated SN-MDR infections

  • Code name: snm_infx
  • Includes:
    • SN-MDR undiagnosed
    • SN-MDR diagnosed but not on treatment
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected untreated SN-XDR infections

  • Code name: snx_infx
  • Includes:
    • SN-XDR undiagnosed
    • SN-XDR diagnosed but not on treatment
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected untreated SP-DS prevalence

  • Code name: spd_prevx
  • Includes:
    • Suspected untreated SP-DS infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected untreated SP-MDR prevalence

  • Code name: spm_prevx
  • Includes:
    • Suspected untreated SP-MDR infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected untreated SP-XDR prevalence

  • Code name: spx_prevx
  • Includes:
    • Suspected untreated SP-XDR infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected untreated SN-DS prevalence

  • Code name: snd_prevx
  • Includes:
    • Suspected untreated SN-DS infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected untreated SN-MDR prevalence

  • Code name: snm_prevx
  • Includes:
    • Suspected untreated SN-MDR infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected untreated SN-XDR prevalence

  • Code name: snx_prevx
  • Includes:
    • Suspected untreated SN-XDR infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected LTBI prevalence

  • Code name: lt_prev
  • Includes:
    • Suspected latent infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SP-DS prevalence

  • Code name: spd_prev
  • Includes:
    • Suspected SP-DS infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SP-MDR prevalence

  • Code name: spm_prev
  • Includes:
    • Suspected SP-MD infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SP-XDR prevalence

  • Code name: spx_prev
  • Includes:
    • Suspected SP-XDR infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SN-DS prevalence

  • Code name: snd_prev
  • Includes:
    • Suspected SN-DS infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SN-MDR prevalence

  • Code name: snm_prev
  • Includes:
    • Suspected SN-MDR infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SN-XDR prevalence

  • Code name: snx_prev
  • Includes:
    • Suspected SN-XDR infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SP prevalence

  • Code name: sp_prev
  • Includes:
    • Suspected SP infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected SN prevalence

  • Code name: sn_prev
  • Includes:
    • Suspected SN infections
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected DS prevalence

  • Code name: ds_prev
  • Includes:
    • Estimated number of people with DS TB
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected DR prevalence

  • Code name: dr_prev
  • Includes:
    • Estimated number of people with DR TB
  • Denominator: Population size
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected MDR prevalence

  • Code name: mdr_prev
  • Includes:
    • Estimated number of people with MDR TB
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected XDR prevalence

  • Code name: xdr_prev
  • Includes:
    • Estimated number of people with XDR TB
  • Denominator: Population size
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected active TB prevalence

  • Code name: ac_prev
  • Includes:
    • Estimated number of people with active TB
  • Denominator: Population size
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected undiagnosed DS infections

  • Code name: num_undiag_ds
  • Includes:
    • SP-DS undiagnosed
    • SN-DS undiagnosed
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected undiagnosed MDR infections

  • Code name: num_undiag_mdr
  • Includes:
    • SP-MDR undiagnosed
    • SN-MDR undiagnosed
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Suspected undiagnosed XDR infections

  • Code name: num_undiag_xdr
  • Includes:
    • SP-XDR undiagnosed
    • SN-XDR undiagnosed
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Diagnosed DS infections

  • Code name: num_diag_ds
  • Includes:
    • SP-DS diagnosed but not on treatment
    • SP-DS on treatment
    • SN-DS diagnosed but not on treatment
    • SN-DS on treatment
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Diagnosed MDR infections

  • Code name: num_diag_mdr
  • Includes:
    • SP-MDR diagnosed but not on treatment
    • SP-MDR on treatment
    • SN-MDR diagnosed but not on treatment
    • SN-MDR on treatment
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Diagnosed XDR infections

  • Code name: num_diag_xdr
  • Includes:
    • SP-XDR diagnosed but not on treatment
    • SP-XDR on treatment
    • SN-XDR diagnosed but not on treatment
    • SN-XDR on treatment
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: DS cases on treatment

  • Code name: num_treat_ds
  • Includes:
    • SP-DS on treatment
    • SN-DS on treatment
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: MDR cases on treatment

  • Code name: num_treat_mdr
  • Includes:
    • SP-MDR on treatment
    • SN-MDR on treatment
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: XDR cases on treatment

  • Code name: num_treat_xdr
  • Includes:
    • SP-XDR on treatment
    • SN-XDR on treatment
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Active TB cases on treatment

  • Code name: num_treat
  • Includes:
    • DS cases on treatment
    • MDR cases on treatment
    • XDR cases on treatment
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Number of living people that have recovered from active TB in the previous 2 years

  • Code name: treat_cascade
  • Includes:
    • Completed treatment (active)
  • Appears in the databook
  • Description:
  • Data entry guidance:

Characteristic: Diagnosis sufficiency (known versus suspected infections)

  • Code name: diag_suff
  • Includes:
    • Known active TB infections
  • Denominator: Estimated number of people with active TB
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Characteristic: Treatment sufficiency (on-treatment versus known infections)

  • Code name: treat_suff
  • Includes:
    • Active TB cases on treatment
  • Denominator: Known active TB infections
  • Does not appear in the databook
  • Description:
  • Data entry guidance:

Parameters

Parameter: Initialization proportion of the population with active TB

  • Code name: aci_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: None
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: Vaccinated”
    • “Initialization proportion: SP-MDR diagnosed but not on treatment”
    • “Initialization proportion: Susceptible (diagnosis restricted)”
    • “Initialization proportion: SP-MDR on treatment”
    • “Initialization proportion: SN-MDR on treatment”
    • “Initialization proportion: SP-MDR undiagnosed”
    • “Initialization proportion: SP-DS on treatment”
    • “Initialization proportion: SN-DS diagnosed but not on treatment”
    • “Initialization proportion: Susceptible”
    • “Initialization proportion: SN-XDR diagnosed but not on treatment”
    • “Initialization proportion: SN-DS on treatment”
    • “Initialization proportion: SN-MDR diagnosed but not on treatment”
    • “Initialization proportion: SP-XDR on treatment”
    • “Initialization proportion: SP-XDR diagnosed but not on treatment”
    • “Initialization proportion: SN-MDR undiagnosed”
    • “Initialization proportion: SP-DS diagnosed but not on treatment”
    • “Initialization proportion: SP-DS undiagnosed”
    • “Initialization proportion: SN-XDR on treatment”
    • “Initialization proportion: SN-XDR undiagnosed”
    • “Initialization proportion: SP-XDR undiagnosed”
    • “Initialization proportion: SN-DS undiagnosed”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion of the population with latent TB

  • Code name: lti_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: None
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: Late latent untreated (diagnosable)”
    • “Initialization proportion: Late latent untreated (diagnosis restricted)”
    • “Initialization proportion: Vaccinated”
    • “Initialization proportion: Late latent on treatment”
    • “Initialization proportion: Susceptible”
    • “Initialization proportion: Susceptible (diagnosis restricted)”
    • “Initialization proportion: Early latent untreated (diagnosis restricted)”
    • “Initialization proportion: Early latent untreated (diagnosable)”
    • “Initialization proportion: Early latent on treatment”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion of latent TB cases that are early latent

  • Code name: ltei_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.1
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: Late latent untreated (diagnosable)”
    • “Initialization proportion: Late latent untreated (diagnosis restricted)”
    • “Initialization proportion: Late latent on treatment”
    • “Early latent proportion of new immigrants”
    • “Initialization proportion: Early latent untreated (diagnosis restricted)”
    • “Initialization proportion: Early latent untreated (diagnosable)”
    • “Initialization proportion: Early latent on treatment”
    • “Late latent proportion of new immigrants”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion of latent TB cases that are on treatment

  • Code name: lteti_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: Late latent untreated (diagnosable)”
    • “Initialization proportion: Late latent untreated (diagnosis restricted)”
    • “Initialization proportion: Late latent on treatment”
    • “Initialization proportion: Early latent untreated (diagnosis restricted)”
    • “Initialization proportion: Early latent untreated (diagnosable)”
    • “Initialization proportion: Early latent on treatment”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion of active TB cases that are diagnosed

  • Code name: acdi_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: SN-DS undiagnosed”
    • “Initialization proportion: SP-DS on treatment”
    • “Initialization proportion: SN-DS diagnosed but not on treatment”
    • “Initialization proportion: SP-XDR diagnosed but not on treatment”
    • “Initialization proportion: SP-MDR diagnosed but not on treatment”
    • “Initialization proportion: SN-XDR diagnosed but not on treatment”
    • “Initialization proportion: SN-XDR on treatment”
    • “Initialization proportion: SP-MDR undiagnosed”
    • “Initialization proportion: SN-MDR on treatment”
    • “Initialization proportion: SN-XDR undiagnosed”
    • “Initialization proportion: SN-DS on treatment”
    • “Initialization proportion: SP-MDR on treatment”
    • “Initialization proportion: SN-MDR undiagnosed”
    • “Initialization proportion: SP-XDR undiagnosed”
    • “Initialization proportion: SP-XDR on treatment”
    • “Initialization proportion: SN-MDR diagnosed but not on treatment”
    • “Initialization proportion: SP-DS diagnosed but not on treatment”
    • “Initialization proportion: SP-DS undiagnosed”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion of diagnosed TB cases that are on treatment

  • Code name: dti_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: SP-DS on treatment”
    • “Initialization proportion: SN-DS diagnosed but not on treatment”
    • “Initialization proportion: SP-XDR diagnosed but not on treatment”
    • “Initialization proportion: SP-MDR diagnosed but not on treatment”
    • “Initialization proportion: SN-XDR diagnosed but not on treatment”
    • “Initialization proportion: SN-XDR on treatment”
    • “Initialization proportion: SN-DS on treatment”
    • “Initialization proportion: SP-MDR on treatment”
    • “Initialization proportion: SN-MDR diagnosed but not on treatment”
    • “Initialization proportion: SP-XDR on treatment”
    • “Initialization proportion: SN-MDR on treatment”
    • “Initialization proportion: SP-DS diagnosed but not on treatment”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion of the population that have previously been vaccinated

  • Code name: vaci_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: Vaccinated”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion of the population that have previously been infected with TB

  • Code name: und_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: Late latent untreated (diagnosable)”
    • “Initialization proportion: Late latent untreated (diagnosis restricted)”
    • “Initialization proportion: Susceptible”
    • “Initialization proportion: Susceptible (diagnosis restricted)”
    • “Initialization proportion: Early latent untreated (diagnosis restricted)”
    • “Initialization proportion: Early latent untreated (diagnosable)”
  • Description:
  • Data entry guidance:

Parameter: New active infections: proportion of population that are SP

  • Code name: p_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Smear disaggregator for new active” to “Junction: Strain disaggregator for new smear positive”
  • Default value: None
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: SP-DS on treatment”
    • “Initialization proportion: SP-XDR diagnosed but not on treatment”
    • “Initialization proportion: SP-MDR diagnosed but not on treatment”
    • “Initialization proportion: SP-MDR undiagnosed”
    • “Initialization proportion: SP-MDR on treatment”
    • “Initialization proportion: SP-XDR undiagnosed”
    • “Initialization proportion: SP-XDR on treatment”
    • “Initialization proportion: SP-DS diagnosed but not on treatment”
    • “Initialization proportion: SP-DS undiagnosed”
  • Description:
  • Data entry guidance:

Parameter: New active infections: proportion of population that are SN

  • Code name: n_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Smear disaggregator for new active” to “Junction: Strain disaggregator for new smear negative”
  • Default value: None
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: SN-DS diagnosed but not on treatment”
    • “Initialization proportion: SN-XDR diagnosed but not on treatment”
    • “Initialization proportion: SN-XDR on treatment”
    • “Initialization proportion: SN-XDR undiagnosed”
    • “Initialization proportion: SN-DS on treatment”
    • “Initialization proportion: SN-MDR undiagnosed”
    • “Initialization proportion: SN-MDR diagnosed but not on treatment”
    • “Initialization proportion: SN-MDR on treatment”
    • “Initialization proportion: SN-DS undiagnosed”
  • Description:
  • Data entry guidance:

Parameter: New SP infections: proportion of population that are SP-DS

  • Code name: pd_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Strain disaggregator for new smear positive” to “SP-DS undiagnosed”
  • Default value: None
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: SP-DS on treatment”
    • “Initialization proportion: SP-DS diagnosed but not on treatment”
    • “Initialization proportion: SP-DS undiagnosed”
  • Description:
  • Data entry guidance:

Parameter: New SP infections: proportion of population that are SP-MDR

  • Code name: pm_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Strain disaggregator for new smear positive” to “SP-MDR undiagnosed”
  • Default value: None
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: SP-MDR diagnosed but not on treatment”
    • “Initialization proportion: SP-MDR undiagnosed”
    • “Initialization proportion: SP-MDR on treatment”
  • Description:
  • Data entry guidance:

Parameter: New SP infections: proportion of population that are SP-XDR

  • Code name: px_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Strain disaggregator for new smear positive” to “SP-XDR undiagnosed”
  • Default value: None
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: SP-XDR undiagnosed”
    • “Initialization proportion: SP-XDR on treatment”
    • “Initialization proportion: SP-XDR diagnosed but not on treatment”
  • Description:
  • Data entry guidance:

Parameter: New SN infections: proportion of population that are SN-DS

  • Code name: nd_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Strain disaggregator for new smear negative” to “SN-DS undiagnosed”
  • Default value: None
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: SN-DS on treatment”
    • “Initialization proportion: SN-DS diagnosed but not on treatment”
    • “Initialization proportion: SN-DS undiagnosed”
  • Description:
  • Data entry guidance:

Parameter: New SN infections: proportion of population that are SN-MDR

  • Code name: nm_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Strain disaggregator for new smear negative” to “SN-MDR undiagnosed”
  • Default value: None
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: SN-MDR on treatment”
    • “Initialization proportion: SN-MDR diagnosed but not on treatment”
    • “Initialization proportion: SN-MDR undiagnosed”
  • Description:
  • Data entry guidance:

Parameter: New SN infections: proportion of population that are SN-XDR

  • Code name: nx_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Strain disaggregator for new smear negative” to “SN-XDR undiagnosed”
  • Default value: None
  • Appears in the databook
  • Used to compute:
    • “Initialization proportion: SN-XDR diagnosed but not on treatment”
    • “Initialization proportion: SN-XDR undiagnosed”
    • “Initialization proportion: SN-XDR on treatment”
  • Description:
  • Data entry guidance:

Parameter: Infection vulnerability factor (relative population susceptibility)

  • Code name: inf_sus
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: 1
  • Appears in the databook
  • Used to compute:
    • “Reinfection rate (susceptible to diagnosis restricted for diagnosis restricted)”
    • “Infection rate (susceptible to diagnosable latent)”
    • “Infection rate (vaccinated to diagnosis restricted latent)”
  • Description:
  • Data entry guidance:

Parameter: Infection vulnerability factor (vaccinated versus susceptible)

  • Code name: vac_fac
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: 0.5
  • Appears in the databook
  • Used to compute:
    • “Infection rate (vaccinated to diagnosis restricted latent)”
    • “Initialization proportion: Vaccinated”
  • Description:
  • Data entry guidance:

Parameter: Infection vulnerability factor (recovered versus susceptible)

  • Code name: lat_fac
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: 0.5
  • Appears in the databook
  • Used to compute:
    • “Reinfection rate (susceptible to diagnosis restricted for diagnosis restricted)”
  • Description:
  • Data entry guidance:

Parameter: SP-DS infectiousness

  • Code name: spd_infxness
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: 1
  • Appears in the databook
  • Used to compute:
    • “SN-MDR infectiousness”
    • “SN-XDR infectiousness”
    • “SN-DS infectiousness”
    • “SP-XDR infectiousness”
    • “SP-MDR infectiousness”
    • “Force of infection from SP prevalence”
  • Description:
  • Data entry guidance:

Parameter: Relative infectiousness (SN versus SP)

  • Code name: sn_fac
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: 0.22
  • Appears in the databook
  • Used to compute:
    • “SN-XDR infectiousness”
    • “SN-MDR infectiousness”
    • “SN-DS infectiousness”
  • Description:
  • Data entry guidance:

Parameter: Relative infectiousness (MDR versus DS)

  • Code name: mdr_fac
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: 1
  • Appears in the databook
  • Used to compute:
    • “SP-MDR infectiousness”
    • “SN-MDR infectiousness”
  • Description:
  • Data entry guidance:

Parameter: Relative infectiousness (XDR versus DS)

  • Code name: xdr_fac
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: 1
  • Appears in the databook
  • Used to compute:
    • “SN-XDR infectiousness”
    • “SP-XDR infectiousness”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: Early latent untreated (diagnosable)

  • Code name: lteu_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “Early latent untreated (diagnosable)”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: lti_idiv*ltei_idiv*(1-und_idiv)*(1-lteti_idiv)
  • Depends on:
    • “Initialization proportion of the population with latent TB”
    • “Initialization proportion of the population that have previously been infected with TB”
    • “Initialization proportion of latent TB cases that are on treatment”
    • “Initialization proportion of latent TB cases that are early latent”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: Early latent on treatment

  • Code name: ltet_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “Early latent on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: lti_idiv*ltei_idiv*lteti_idiv
  • Depends on:
    • “Initialization proportion of the population with latent TB”
    • “Initialization proportion of latent TB cases that are on treatment”
    • “Initialization proportion of latent TB cases that are early latent”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: Late latent untreated (diagnosable)

  • Code name: ltlu_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “Late latent untreated (diagnosable)”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: lti_idiv*(1-ltei_idiv)*(1-und_idiv)*(1-lteti_idiv)
  • Depends on:
    • “Initialization proportion of the population with latent TB”
    • “Initialization proportion of the population that have previously been infected with TB”
    • “Initialization proportion of latent TB cases that are on treatment”
    • “Initialization proportion of latent TB cases that are early latent”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: Late latent on treatment

  • Code name: ltlt_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “Late latent on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: lti_idiv*(1-ltei_idiv)*lteti_idiv
  • Depends on:
    • “Initialization proportion of the population with latent TB”
    • “Initialization proportion of latent TB cases that are on treatment”
    • “Initialization proportion of latent TB cases that are early latent”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: Early latent untreated (diagnosis restricted)

  • Code name: ltex_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “Early latent untreated (diagnosis restricted)”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: lti_idiv*ltei_idiv*und_idiv*(1-lteti_idiv)
  • Depends on:
    • “Initialization proportion of latent TB cases that are on treatment”
    • “Initialization proportion of the population with latent TB”
    • “Initialization proportion of the population that have previously been infected with TB”
    • “Initialization proportion of latent TB cases that are early latent”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: Late latent untreated (diagnosis restricted)

  • Code name: ltlx_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “Late latent untreated (diagnosis restricted)”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: lti_idiv*(1-ltei_idiv)*und_idiv*(1-lteti_idiv)
  • Depends on:
    • “Initialization proportion of latent TB cases that are on treatment”
    • “Initialization proportion of the population with latent TB”
    • “Initialization proportion of the population that have previously been infected with TB”
    • “Initialization proportion of latent TB cases that are early latent”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SP-DS undiagnosed

  • Code name: spdu_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SP-DS undiagnosed”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*p_div*pd_div*(1-acdi_idiv)
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SP”
    • “New SP infections: proportion of population that are SP-DS”
    • “Initialization proportion of active TB cases that are diagnosed”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SP-DS diagnosed but not on treatment

  • Code name: spdd_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SP-DS diagnosed but not on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*p_div*pd_div*acdi_idiv*(1-dti_idiv)
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SP”
    • “Initialization proportion of diagnosed TB cases that are on treatment”
    • “Initialization proportion of active TB cases that are diagnosed”
    • “New SP infections: proportion of population that are SP-DS”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SP-DS on treatment

  • Code name: spdt_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SP-DS on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*p_div*pd_div*acdi_idiv*dti_idiv
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SP”
    • “Initialization proportion of diagnosed TB cases that are on treatment”
    • “Initialization proportion of active TB cases that are diagnosed”
    • “New SP infections: proportion of population that are SP-DS”
  • Used to compute:
    • “Initialization proportion: Completed treatment (active)”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SP-MDR undiagnosed

  • Code name: spmu_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SP-MDR undiagnosed”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*p_div*pm_div*(1-acdi_idiv)
  • Depends on:
    • “New SP infections: proportion of population that are SP-MDR”
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SP”
    • “Initialization proportion of active TB cases that are diagnosed”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SP-MDR diagnosed but not on treatment

  • Code name: spmd_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SP-MDR diagnosed but not on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*p_div*pm_div*acdi_idiv*(1-dti_idiv)
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SP”
    • “New SP infections: proportion of population that are SP-MDR”
    • “Initialization proportion of diagnosed TB cases that are on treatment”
    • “Initialization proportion of active TB cases that are diagnosed”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SP-MDR on treatment

  • Code name: spmt_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SP-MDR on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*p_div*pm_div*acdi_idiv*dti_idiv
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SP”
    • “New SP infections: proportion of population that are SP-MDR”
    • “Initialization proportion of diagnosed TB cases that are on treatment”
    • “Initialization proportion of active TB cases that are diagnosed”
  • Used to compute:
    • “Initialization proportion: Completed treatment (active)”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SP-XDR undiagnosed

  • Code name: spxu_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SP-XDR undiagnosed”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*p_div*px_div*(1-acdi_idiv)
  • Depends on:
    • “New SP infections: proportion of population that are SP-XDR”
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SP”
    • “Initialization proportion of active TB cases that are diagnosed”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SP-XDR diagnosed but not on treatment

  • Code name: spxd_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SP-XDR diagnosed but not on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*p_div*px_div*acdi_idiv*(1-dti_idiv)
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SP”
    • “Initialization proportion of diagnosed TB cases that are on treatment”
    • “Initialization proportion of active TB cases that are diagnosed”
    • “New SP infections: proportion of population that are SP-XDR”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SP-XDR on treatment

  • Code name: spxt_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SP-XDR on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*p_div*px_div*acdi_idiv*dti_idiv
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SP”
    • “Initialization proportion of diagnosed TB cases that are on treatment”
    • “Initialization proportion of active TB cases that are diagnosed”
    • “New SP infections: proportion of population that are SP-XDR”
  • Used to compute:
    • “Initialization proportion: Completed treatment (active)”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SN-DS undiagnosed

  • Code name: sndu_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SN-DS undiagnosed”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*n_div*nd_div*(1-acdi_idiv)
  • Depends on:
    • “New SN infections: proportion of population that are SN-DS”
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SN”
    • “Initialization proportion of active TB cases that are diagnosed”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SN-DS diagnosed but not on treatment

  • Code name: sndd_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SN-DS diagnosed but not on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*n_div*nd_div*acdi_idiv*(1-dti_idiv)
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SN”
    • “Initialization proportion of diagnosed TB cases that are on treatment”
    • “Initialization proportion of active TB cases that are diagnosed”
    • “New SN infections: proportion of population that are SN-DS”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SN-DS on treatment

  • Code name: sndt_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SN-DS on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*n_div*nd_div*acdi_idiv*dti_idiv
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SN”
    • “Initialization proportion of diagnosed TB cases that are on treatment”
    • “Initialization proportion of active TB cases that are diagnosed”
    • “New SN infections: proportion of population that are SN-DS”
  • Used to compute:
    • “Initialization proportion: Completed treatment (active)”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SN-MDR undiagnosed

  • Code name: snmu_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SN-MDR undiagnosed”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*n_div*nm_div*(1-acdi_idiv)
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New SN infections: proportion of population that are SN-MDR”
    • “New active infections: proportion of population that are SN”
    • “Initialization proportion of active TB cases that are diagnosed”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SN-MDR diagnosed but not on treatment

  • Code name: snmd_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SN-MDR diagnosed but not on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*n_div*nm_div*acdi_idiv*(1-dti_idiv)
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SN”
    • “Initialization proportion of diagnosed TB cases that are on treatment”
    • “Initialization proportion of active TB cases that are diagnosed”
    • “New SN infections: proportion of population that are SN-MDR”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SN-MDR on treatment

  • Code name: snmt_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SN-MDR on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*n_div*nm_div*acdi_idiv*dti_idiv
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SN”
    • “Initialization proportion of diagnosed TB cases that are on treatment”
    • “Initialization proportion of active TB cases that are diagnosed”
    • “New SN infections: proportion of population that are SN-MDR”
  • Used to compute:
    • “Initialization proportion: Completed treatment (active)”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SN-XDR undiagnosed

  • Code name: snxu_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SN-XDR undiagnosed”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*n_div*nx_div*(1-acdi_idiv)
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New SN infections: proportion of population that are SN-XDR”
    • “New active infections: proportion of population that are SN”
    • “Initialization proportion of active TB cases that are diagnosed”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SN-XDR diagnosed but not on treatment

  • Code name: snxd_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SN-XDR diagnosed but not on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*n_div*nx_div*acdi_idiv*(1-dti_idiv)
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SN”
    • “New SN infections: proportion of population that are SN-XDR”
    • “Initialization proportion of diagnosed TB cases that are on treatment”
    • “Initialization proportion of active TB cases that are diagnosed”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: SN-XDR on treatment

  • Code name: snxt_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “SN-XDR on treatment”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: aci_idiv*n_div*nx_div*acdi_idiv*dti_idiv
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “New active infections: proportion of population that are SN”
    • “New SN infections: proportion of population that are SN-XDR”
    • “Initialization proportion of diagnosed TB cases that are on treatment”
    • “Initialization proportion of active TB cases that are diagnosed”
  • Used to compute:
    • “Initialization proportion: Completed treatment (active)”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: Completed treatment (active)

  • Code name: acr_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “Completed treatment (active)”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: 1.5*(spdt_idiv+spmt_idiv+spxt_idiv+sndt_idiv+snmt_idiv+snxt_idiv)
  • Depends on:
    • “Initialization proportion: SP-DS on treatment”
    • “Initialization proportion: SN-XDR on treatment”
    • “Initialization proportion: SN-DS on treatment”
    • “Initialization proportion: SP-MDR on treatment”
    • “Initialization proportion: SP-XDR on treatment”
    • “Initialization proportion: SN-MDR on treatment”
  • Used to compute:
    • “Initialization proportion: Susceptible”
    • “Initialization proportion: Vaccinated”
    • “Initialization proportion: Susceptible (diagnosis restricted)”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: Vaccinated

  • Code name: vac_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “Vaccinated”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: (1-vac_fac*(aci_idiv-lti_idiv-acr_idiv))*vaci_idiv
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “Initialization proportion of the population that have previously been vaccinated”
    • “Initialization proportion: Completed treatment (active)”
    • “Initialization proportion of the population with latent TB”
    • “Infection vulnerability factor (vaccinated versus susceptible)”
  • Used to compute:
    • “Initialization proportion: Susceptible”
    • “Initialization proportion: Susceptible (diagnosis restricted)”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: Susceptible

  • Code name: sus_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “Susceptible”
  • Default value: 1
  • Does not appear in the databook
  • This parameter’s value is computed by a function: (1-aci_idiv-lti_idiv-vac_idiv-acr_idiv)*(1-und_idiv)
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “Initialization proportion: Vaccinated”
    • “Initialization proportion: Completed treatment (active)”
    • “Initialization proportion of the population with latent TB”
    • “Initialization proportion of the population that have previously been infected with TB”
  • Description:
  • Data entry guidance:

Parameter: Initialization proportion: Susceptible (diagnosis restricted)

  • Code name: susx_idiv
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Initialization population size” to “Susceptible (diagnosis restricted)”
  • Default value: 0
  • Does not appear in the databook
  • This parameter’s value is computed by a function: (1-aci_idiv-lti_idiv-vac_idiv-acr_idiv)*und_idiv
  • Depends on:
    • “Initialization proportion of the population with active TB”
    • “Initialization proportion: Vaccinated”
    • “Initialization proportion: Completed treatment (active)”
    • “Initialization proportion of the population with latent TB”
    • “Initialization proportion of the population that have previously been infected with TB”
  • Description:
  • Data entry guidance:

Parameter: Number of births

  • Code name: b_rate
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “Source: Origin of births” to “Susceptible”
  • Default value: None
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: Non-TB deaths

  • Code name: doth_rate
  • Units/format: probability
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “Susceptible” to “Sink: Cumulative non-TB deaths over simulation”
    • “Vaccinated” to “Sink: Cumulative non-TB deaths over simulation”
    • “Early latent untreated (diagnosable)” to “Sink: Cumulative non-TB deaths over simulation”
    • “Early latent on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “Late latent untreated (diagnosable)” to “Sink: Cumulative non-TB deaths over simulation”
    • “Late latent on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “Susceptible (diagnosis restricted)” to “Sink: Cumulative non-TB deaths over simulation”
    • “Early latent untreated (diagnosis restricted)” to “Sink: Cumulative non-TB deaths over simulation”
    • “Late latent untreated (diagnosis restricted)” to “Sink: Cumulative non-TB deaths over simulation”
    • “SP-DS undiagnosed” to “Sink: Cumulative non-TB deaths over simulation”
    • “SP-DS diagnosed but not on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “SP-DS on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “SP-MDR undiagnosed” to “Sink: Cumulative non-TB deaths over simulation”
    • “SP-MDR diagnosed but not on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “SP-MDR on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “SP-XDR undiagnosed” to “Sink: Cumulative non-TB deaths over simulation”
    • “SP-XDR diagnosed but not on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “SP-XDR on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “SN-DS undiagnosed” to “Sink: Cumulative non-TB deaths over simulation”
    • “SN-DS diagnosed but not on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “SN-DS on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “SN-MDR undiagnosed” to “Sink: Cumulative non-TB deaths over simulation”
    • “SN-MDR diagnosed but not on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “SN-MDR on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “SN-XDR undiagnosed” to “Sink: Cumulative non-TB deaths over simulation”
    • “SN-XDR diagnosed but not on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “SN-XDR on treatment” to “Sink: Cumulative non-TB deaths over simulation”
    • “Completed treatment (active)” to “Sink: Cumulative non-TB deaths over simulation”
  • Default value: None
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: Number of new immigrants

  • Code name: i_rate
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “Source: Origin of immigration” to “Junction: Infection status of immigrants”
  • Default value: 0
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: Number of departing emigrants

  • Code name: e_rate
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “Susceptible” to “Sink: Cumulative emigration over simulation”
    • “Vaccinated” to “Sink: Cumulative emigration over simulation”
    • “Early latent untreated (diagnosable)” to “Sink: Cumulative emigration over simulation”
    • “Early latent on treatment” to “Sink: Cumulative emigration over simulation”
    • “Late latent untreated (diagnosable)” to “Sink: Cumulative emigration over simulation”
    • “Late latent on treatment” to “Sink: Cumulative emigration over simulation”
    • “Susceptible (diagnosis restricted)” to “Sink: Cumulative emigration over simulation”
    • “Early latent untreated (diagnosis restricted)” to “Sink: Cumulative emigration over simulation”
    • “Late latent untreated (diagnosis restricted)” to “Sink: Cumulative emigration over simulation”
    • “SP-DS undiagnosed” to “Sink: Cumulative emigration over simulation”
    • “SP-DS diagnosed but not on treatment” to “Sink: Cumulative emigration over simulation”
    • “SP-DS on treatment” to “Sink: Cumulative emigration over simulation”
    • “SP-MDR undiagnosed” to “Sink: Cumulative emigration over simulation”
    • “SP-MDR diagnosed but not on treatment” to “Sink: Cumulative emigration over simulation”
    • “SP-MDR on treatment” to “Sink: Cumulative emigration over simulation”
    • “SP-XDR undiagnosed” to “Sink: Cumulative emigration over simulation”
    • “SP-XDR diagnosed but not on treatment” to “Sink: Cumulative emigration over simulation”
    • “SP-XDR on treatment” to “Sink: Cumulative emigration over simulation”
    • “SN-DS undiagnosed” to “Sink: Cumulative emigration over simulation”
    • “SN-DS diagnosed but not on treatment” to “Sink: Cumulative emigration over simulation”
    • “SN-DS on treatment” to “Sink: Cumulative emigration over simulation”
    • “SN-MDR undiagnosed” to “Sink: Cumulative emigration over simulation”
    • “SN-MDR diagnosed but not on treatment” to “Sink: Cumulative emigration over simulation”
    • “SN-MDR on treatment” to “Sink: Cumulative emigration over simulation”
    • “SN-XDR undiagnosed” to “Sink: Cumulative emigration over simulation”
    • “SN-XDR diagnosed but not on treatment” to “Sink: Cumulative emigration over simulation”
    • “SN-XDR on treatment” to “Sink: Cumulative emigration over simulation”
    • “Completed treatment (active)” to “Sink: Cumulative emigration over simulation”
  • Default value: 0
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: Number of vaccinations administered

  • Code name: v_num
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “Susceptible” to “Vaccinated”
  • Default value: None
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: LTBI treatment initiations through mass screening

  • Code name: l_ntreat_ms
  • Units/format: number
  • Value restrictions: At least 0
  • Default value: 0
  • Appears in the databook
  • Used to compute:
    • “Late-LTBI annual number initiating treatment”
    • “Early-LTBI annual number initiating treatment”
  • Description:
  • Data entry guidance:

Parameter: LTBI treatment initiations through contact tracing

  • Code name: l_ntreat_ct
  • Units/format: number
  • Value restrictions: At least 0
  • Default value: 0
  • Appears in the databook
  • Used to compute:
    • “Early-LTBI annual number initiating treatment”
    • “Early-LTBI (diagnosis restricted) annual number initiating treatment”
  • Description:
  • Data entry guidance:

Parameter: LTBI treatment average duration of full course

  • Code name: l_duration
  • Units/format: days
  • Value restrictions: At least 1.0000
  • Default value: 180
  • Appears in the databook
  • Used to compute:
    • “LTBI treatment average duration until outcome”
  • Description:
  • Data entry guidance:

Parameter: LTBI treatment proportion of lost to follow up

  • Code name: lt_fail_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.07
  • Appears in the databook
  • Used to compute:
    • “Early-LTBI treatment abandonment rate”
    • “Late-LTBI treatment abandonment rate”
    • “LTBI treatment average duration until outcome”
  • Description:
  • Data entry guidance:

Parameter: LTBI treatment proportion of successful completions

  • Code name: lt_succ_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.93
  • Appears in the databook
  • Used to compute:
    • “Late-LTBI treatment success rate”
    • “Early-LTBI treatment success rate”
  • Description:
  • Data entry guidance:

Parameter: LTBI treatment average duration until outcome

  • Code name: ltt_dur
  • Units/format: duration
  • Contributes to transitions from:
    • “Early latent on treatment” to “Junction: Latent early treatment outcome”
    • “Late latent on treatment” to “Junction: Latent late treatment outcome”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: l_duration*(1-0.5*lt_fail_div)/365
  • Depends on:
    • “LTBI treatment proportion of lost to follow up”
    • “LTBI treatment average duration of full course”
  • Description:
  • Data entry guidance:

Parameter: Early-LTBI annual number initiating treatment

  • Code name: le_ntreat
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “Early latent untreated (diagnosable)” to “Early latent on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: l_ntreat_ct*(lteu/max(lteu+ltex, 1.)) + l_ntreat_ms*(lteu/max(lteu+ltlu, 1.))
  • Depends on:
    • “Early latent untreated (diagnosable)”
    • “Late latent untreated (diagnosable)”
    • “LTBI treatment initiations through mass screening”
    • “LTBI treatment initiations through contact tracing”
    • “Early latent untreated (diagnosis restricted)”
  • Description:
  • Data entry guidance:

Parameter: Early-LTBI (diagnosis restricted) annual number initiating treatment

  • Code name: lx_ntreat
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “Early latent untreated (diagnosis restricted)” to “Early latent on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: l_ntreat_ct*(ltex/max(lteu+ltex, 1.))
  • Depends on:
    • “LTBI treatment initiations through contact tracing”
    • “Early latent untreated (diagnosable)”
    • “Early latent untreated (diagnosis restricted)”
  • Description:
  • Data entry guidance:

Parameter: Late-LTBI annual number initiating treatment

  • Code name: ll_ntreat
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “Late latent untreated (diagnosable)” to “Late latent on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: l_ntreat_ms*(ltlu/max(lteu+ltlu, 1.))
  • Depends on:
    • “Late latent untreated (diagnosable)”
    • “Early latent untreated (diagnosable)”
    • “LTBI treatment initiations through mass screening”
  • Description:
  • Data entry guidance:

Parameter: Early-LTBI treatment abandonment rate

  • Code name: let_fail_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Latent early treatment outcome” to “Early latent untreated (diagnosis restricted)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: lt_fail_div
  • Depends on:
    • “LTBI treatment proportion of lost to follow up”
  • Description:
  • Data entry guidance:

Parameter: Early-LTBI treatment success rate

  • Code name: let_succ_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Latent early treatment outcome” to “Susceptible (diagnosis restricted)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: lt_succ_div
  • Depends on:
    • “LTBI treatment proportion of successful completions”
  • Description:
  • Data entry guidance:

Parameter: Late-LTBI treatment abandonment rate

  • Code name: llt_fail_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Latent late treatment outcome” to “Late latent untreated (diagnosis restricted)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: lt_fail_div
  • Depends on:
    • “LTBI treatment proportion of lost to follow up”
  • Description:
  • Data entry guidance:

Parameter: Late-LTBI treatment success rate

  • Code name: llt_succ_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Latent late treatment outcome” to “Susceptible (diagnosis restricted)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: lt_succ_div
  • Depends on:
    • “LTBI treatment proportion of successful completions”
  • Description:
  • Data entry guidance:

Parameter: Early latency departure rate

  • Code name: e_dep
  • Units/format: None
  • Value restrictions: 0-1.0000
  • Default value: 0.2
  • Appears in the databook
  • Used to compute:
    • “LTBI-active progression rate (early diagnosis restricted)”
    • “LTBI-active progression rate (early diagnosable)”
    • “Early-late LTBI progression rate (diagnosable)”
    • “Early-late LTBI progression rate (diagnosis restricted)”
  • Description:
  • Data entry guidance:

Parameter: Late latency departure rate

  • Code name: l_dep
  • Units/format: None
  • Value restrictions: 0-1.0000
  • Default value: 0.003
  • Appears in the databook
  • Used to compute:
    • “LTBI-active progression rate (late diagnosable)”
    • “LTBI-active progression rate (late diagnosis restricted)”
  • Description:
  • Data entry guidance:

Parameter: Probability of early-active versus early-late progression

  • Code name: p_branch
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: 0.177
  • Appears in the databook
  • Used to compute:
    • “LTBI-active progression rate (early diagnosis restricted)”
    • “LTBI-active progression rate (early diagnosable)”
    • “Early-late LTBI progression rate (diagnosable)”
    • “Early-late LTBI progression rate (diagnosis restricted)”
  • Description:
  • Data entry guidance:

Parameter: Early-late LTBI progression rate (diagnosable)

  • Code name: lu_prog
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Early latent untreated (diagnosable)” to “Late latent untreated (diagnosable)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: (1-p_branch)*e_dep
  • Depends on:
    • “Early latency departure rate”
    • “Probability of early-active versus early-late progression”
  • Description:
  • Data entry guidance:

Parameter: Early-late LTBI progression rate (diagnosis restricted)

  • Code name: lx_prog
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Early latent untreated (diagnosis restricted)” to “Late latent untreated (diagnosis restricted)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: (1-p_branch)*e_dep
  • Depends on:
    • “Early latency departure rate”
    • “Probability of early-active versus early-late progression”
  • Description:
  • Data entry guidance:

Parameter: LTBI-active progression rate (early diagnosable)

  • Code name: leu_act
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Early latent untreated (diagnosable)” to “Junction: Smear disaggregator for new active”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: p_branch*e_dep
  • Depends on:
    • “Early latency departure rate”
    • “Probability of early-active versus early-late progression”
  • Description:
  • Data entry guidance:

Parameter: LTBI-active progression rate (early diagnosis restricted)

  • Code name: lex_act
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Early latent untreated (diagnosis restricted)” to “Junction: Smear disaggregator for new active”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: p_branch*e_dep
  • Depends on:
    • “Early latency departure rate”
    • “Probability of early-active versus early-late progression”
  • Description:
  • Data entry guidance:

Parameter: LTBI-active progression rate (late diagnosable)

  • Code name: llu_act
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Late latent untreated (diagnosable)” to “Junction: Smear disaggregator for new active”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: l_dep
  • Depends on:
    • “Late latency departure rate”
  • Description:
  • Data entry guidance:

Parameter: LTBI-active progression rate (late diagnosis restricted)

  • Code name: llx_act
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Late latent untreated (diagnosis restricted)” to “Junction: Smear disaggregator for new active”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: l_dep
  • Depends on:
    • “Late latency departure rate”
  • Description:
  • Data entry guidance:

Parameter: SP-MDR infectiousness

  • Code name: spm_infxness
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: spd_infxness*mdr_fac
  • Depends on:
    • “SP-DS infectiousness”
    • “Relative infectiousness (MDR versus DS)”
  • Used to compute:
    • “Force of infection from SP prevalence”
  • Description:
  • Data entry guidance:

Parameter: SP-XDR infectiousness

  • Code name: spx_infxness
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: spd_infxness*xdr_fac
  • Depends on:
    • “Relative infectiousness (XDR versus DS)”
    • “SP-DS infectiousness”
  • Used to compute:
    • “Force of infection from SP prevalence”
  • Description:
  • Data entry guidance:

Parameter: SN-DS infectiousness

  • Code name: snd_infxness
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: sn_fac*spd_infxness
  • Depends on:
    • “Relative infectiousness (SN versus SP)”
    • “SP-DS infectiousness”
  • Used to compute:
    • “Force of infection from SN prevalence”
  • Description:
  • Data entry guidance:

Parameter: SN-MDR infectiousness

  • Code name: snm_infxness
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: sn_fac*spd_infxness*mdr_fac
  • Depends on:
    • “Relative infectiousness (SN versus SP)”
    • “SP-DS infectiousness”
    • “Relative infectiousness (MDR versus DS)”
  • Used to compute:
    • “Force of infection from SN prevalence”
  • Description:
  • Data entry guidance:

Parameter: SN-XDR infectiousness

  • Code name: snx_infxness
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: sn_fac*spd_infxness*xdr_fac
  • Depends on:
    • “Relative infectiousness (SN versus SP)”
    • “Relative infectiousness (XDR versus DS)”
    • “SP-DS infectiousness”
  • Used to compute:
    • “Force of infection from SN prevalence”
  • Description:
  • Data entry guidance:

Parameter: Force of infection from SP prevalence

  • Code name: foi_p
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: spd_infxness*spd_prevx+spm_infxness*spm_prevx+spx_infxness*spx_prevx
  • Depends on:
    • “SP-XDR infectiousness”
    • “Suspected untreated SP-DS prevalence”
    • “SP-MDR infectiousness”
    • “SP-DS infectiousness”
    • “Suspected untreated SP-MDR prevalence”
    • “Suspected untreated SP-XDR prevalence”
  • Used to compute:
    • “Force of infection imparted by population”
  • Description:
  • Data entry guidance:

Parameter: Force of infection from SN prevalence

  • Code name: foi_n
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: snd_infxness*snd_prevx+snm_infxness*snm_prevx+snx_infxness*snx_prevx
  • Depends on:
    • “SN-MDR infectiousness”
    • “Suspected untreated SN-XDR prevalence”
    • “SN-DS infectiousness”
    • “SN-XDR infectiousness”
    • “Suspected untreated SN-DS prevalence”
    • “Suspected untreated SN-MDR prevalence”
  • Used to compute:
    • “Force of infection imparted by population”
  • Description:
  • Data entry guidance:

Parameter: Force of infection imparted by population

  • Code name: foi_out
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: foi_p+foi_n
  • Depends on:
    • “Force of infection from SN prevalence”
    • “Force of infection from SP prevalence”
  • Used to compute:
    • “Force of infection experienced by population”
  • Description:
  • Data entry guidance:

Parameter: Force of infection experienced by population

  • Code name: foi_in
  • Units/format: None
  • Value restrictions: At least 0
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: SRC_POP_AVG(foi_out, w_ctc, alive)
  • Depends on:
    • “Population size”
    • “Force of infection imparted by population”
    • “Preference weighting for one population interacting with another”
  • Used to compute:
    • “Reinfection rate (susceptible to diagnosis restricted for diagnosis restricted)”
    • “Infection rate (susceptible to diagnosable latent)”
    • “Infection rate (vaccinated to diagnosis restricted latent)”
  • Description:
  • Data entry guidance:

Parameter: Infection rate (susceptible to diagnosable latent)

  • Code name: l_inf
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Susceptible” to “Early latent untreated (diagnosable)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: foi_in*inf_sus
  • Depends on:
    • “Force of infection experienced by population”
    • “Infection vulnerability factor (relative population susceptibility)”
  • Description:
  • Data entry guidance:

Parameter: Infection rate (vaccinated to diagnosis restricted latent)

  • Code name: v_inf
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Vaccinated” to “Early latent untreated (diagnosis restricted)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: foi_in*inf_sus*vac_fac
  • Depends on:
    • “Force of infection experienced by population”
    • “Infection vulnerability factor (vaccinated versus susceptible)”
    • “Infection vulnerability factor (relative population susceptibility)”
  • Description:
  • Data entry guidance:

Parameter: Reinfection rate (susceptible to diagnosis restricted for diagnosis restricted)

  • Code name: lr_inf
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Susceptible (diagnosis restricted)” to “Early latent untreated (diagnosis restricted)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: foi_in*inf_sus*lat_fac
  • Depends on:
    • “Force of infection experienced by population”
    • “Infection vulnerability factor (recovered versus susceptible)”
    • “Infection vulnerability factor (relative population susceptibility)”
  • Description:
  • Data entry guidance:

Parameter: Relapse rate for completed treatment (active) cases

  • Code name: ar_act
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Completed treatment (active)” to “Junction: Smear disaggregator for new active”
  • Default value: 0.2
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: Full recovery rate for completed treatment (active) cases

  • Code name: ar_rec
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Completed treatment (active)” to “Susceptible (diagnosis restricted)”
  • Default value: 0.5
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: Proportion of new immigrants with LTBI

  • Code name: im_lat_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Infection status of immigrants” to “Late latent untreated (diagnosable)”
  • Default value: 0
  • Appears in the databook
  • Used to compute:
    • “Susceptible proportion of immigrants”
    • “Late latent proportion of new immigrants”
    • “Early latent proportion of new immigrants”
  • Description:
  • Data entry guidance:

Parameter: Early latent proportion of new immigrants

  • Code name: im_late_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: im_lat_div*ltei_idiv
  • Depends on:
    • “Initialization proportion of latent TB cases that are early latent”
    • “Proportion of new immigrants with LTBI”
  • Description:
  • Data entry guidance:

Parameter: Late latent proportion of new immigrants

  • Code name: im_latl_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: im_lat_div*(1-ltei_idiv)
  • Depends on:
    • “Initialization proportion of latent TB cases that are early latent”
    • “Proportion of new immigrants with LTBI”
  • Description:
  • Data entry guidance:

Parameter: Proportion of new immigrants with active TB infections

  • Code name: im_act_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Infection status of immigrants” to “Junction: Smear disaggregator for new active”
  • Default value: 0
  • Appears in the databook
  • Used to compute:
    • “Susceptible proportion of immigrants”
  • Description:
  • Data entry guidance:

Parameter: Susceptible proportion of immigrants

  • Code name: im_sus_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: Infection status of immigrants” to “Susceptible”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: 1-im_lat_div-im_act_div
  • Depends on:
    • “Proportion of new immigrants with LTBI”
    • “Proportion of new immigrants with active TB infections”
  • Description:
  • Data entry guidance:

Parameter: SP-DS diagnosis notifications

  • Code name: pd_ndiag
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “SP-DS undiagnosed” to “SP-DS diagnosed but not on treatment”
  • Default value: None
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SP-MDR diagnosis notifications

  • Code name: pm_ndiag
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “SP-MDR undiagnosed” to “SP-MDR diagnosed but not on treatment”
  • Default value: None
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SP-XDR diagnosis notifications

  • Code name: px_ndiag
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “SP-XDR undiagnosed” to “SP-XDR diagnosed but not on treatment”
  • Default value: None
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SN-DS diagnosis notifications

  • Code name: nd_ndiag
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “SN-DS undiagnosed” to “SN-DS diagnosed but not on treatment”
  • Default value: None
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SN-MDR diagnosis notifications

  • Code name: nm_ndiag
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “SN-MDR undiagnosed” to “SN-MDR diagnosed but not on treatment”
  • Default value: None
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SN-XDR diagnosis notifications

  • Code name: nx_ndiag
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “SN-XDR undiagnosed” to “SN-XDR diagnosed but not on treatment”
  • Default value: None
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: DS treatment number of initiations

  • Code name: d_ntreat
  • Units/format: number
  • Value restrictions: At least 0
  • Default value: None
  • Appears in the databook
  • Used to compute:
    • “SP-DS treatment number of initiations”
    • “SN-DS treatment number of initiations”
  • Description:
  • Data entry guidance:

Parameter: SP-DS treatment number of initiations

  • Code name: pd_ntreat
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “SP-DS diagnosed but not on treatment” to “SP-DS on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: d_ntreat*(spdd/max(spdd+sndd, 1.))
  • Depends on:
    • “SP-DS diagnosed but not on treatment”
    • “SN-DS diagnosed but not on treatment”
    • “DS treatment number of initiations”
  • Description:
  • Data entry guidance:

Parameter: SN-DS treatment number of initiations

  • Code name: nd_ntreat
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “SN-DS diagnosed but not on treatment” to “SN-DS on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: d_ntreat*(spdd/max(spdd+sndd, 1.))
  • Depends on:
    • “SP-DS diagnosed but not on treatment”
    • “SN-DS diagnosed but not on treatment”
    • “DS treatment number of initiations”
  • Description:
  • Data entry guidance:

Parameter: DS treatment average duration of completed treatment

  • Code name: d_duration
  • Units/format: days
  • Value restrictions: At least 1.0000
  • Default value: 180
  • Appears in the databook
  • Used to compute:
    • “DS treatment average duration until outcome”
  • Description:
  • Data entry guidance:

Parameter: DS treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: d_ltfu_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.07
  • Appears in the databook
  • Used to compute:
    • “SN-DS treatment proportion of loss to follow up (require re-diagnosis)”
    • “DS treatment average duration until outcome”
    • “SP-DS treatment proportion of loss to follow up (require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: DS treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: d_fail_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.02
  • Appears in the databook
  • Used to compute:
    • “SP-DS treatment proportion failed (no escalation, no need to re-diagnose)”
    • “SN-DS treatment proportion failed (no escalation, no need to re-diagnose)”
  • Description:
  • Data entry guidance:

Parameter: DS treatment proportion failed (escalation to MDR, require re-diagnosis)

  • Code name: d_esc_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.02
  • Appears in the databook
  • Used to compute:
    • “SP-DS treatment proportion failed (escalation to MDR, require re-diagnosis)”
    • “DS treatment average duration until outcome”
    • “SN-DS treatment proportion failed (escalation to MDR, require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: DS treatment proportion of treatments completed + success

  • Code name: d_succ_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.83
  • Appears in the databook
  • Used to compute:
    • “SP-DS treatment proportion of treatments completed + success”
    • “SN-DS treatment proportion of treatments completed + success”
  • Description:
  • Data entry guidance:

Parameter: DS treatment proportion of deaths

  • Code name: d_sad_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.06
  • Appears in the databook
  • Used to compute:
    • “SN-DS treatment proportion of deaths”
    • “DS treatment average duration until outcome”
    • “SP-DS treatment proportion of deaths”
  • Description:
  • Data entry guidance:

Parameter: DS treatment average duration until outcome

  • Code name: dt_dur
  • Units/format: duration
  • Contributes to transitions from:
    • “SP-DS on treatment” to “Junction: SP-DS treatment outcome”
    • “SN-DS on treatment” to “Junction: SN-DS treatment outcome”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: d_duration*(1-0.5*(d_ltfu_div+d_sad_div+d_esc_div))/365
  • Depends on:
    • “DS treatment proportion failed (escalation to MDR, require re-diagnosis)”
    • “DS treatment proportion of loss to follow up (require re-diagnosis)”
    • “DS treatment proportion of deaths”
    • “DS treatment average duration of completed treatment”
  • Description:
  • Data entry guidance:

Parameter: SP-DS treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: pd_ltfu_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-DS treatment outcome” to “SP-DS undiagnosed”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: d_ltfu_div
  • Depends on:
    • “DS treatment proportion of loss to follow up (require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: SP-DS treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: pd_fail_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-DS treatment outcome” to “SP-DS diagnosed but not on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: d_fail_div
  • Depends on:
    • “DS treatment proportion failed (no escalation, no need to re-diagnose)”
  • Description:
  • Data entry guidance:

Parameter: SP-DS treatment proportion failed (escalation to MDR, require re-diagnosis)

  • Code name: pd_esc_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-DS treatment outcome” to “SP-MDR undiagnosed”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: d_esc_div
  • Depends on:
    • “DS treatment proportion failed (escalation to MDR, require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: SP-DS treatment proportion of treatments completed + success

  • Code name: pd_succ_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-DS treatment outcome” to “Completed treatment (active)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: d_succ_div
  • Depends on:
    • “DS treatment proportion of treatments completed + success”
  • Description:
  • Data entry guidance:

Parameter: SP-DS treatment proportion of deaths

  • Code name: pd_sad_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-DS treatment outcome” to “Sink: Cumulative TB deaths over simulation”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: d_sad_div
  • Depends on:
    • “DS treatment proportion of deaths”
  • Description:
  • Data entry guidance:

Parameter: SN-DS treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: nd_ltfu_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-DS treatment outcome” to “SN-DS undiagnosed”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: d_ltfu_div
  • Depends on:
    • “DS treatment proportion of loss to follow up (require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: SN-DS treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: nd_fail_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-DS treatment outcome” to “SN-DS diagnosed but not on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: d_fail_div
  • Depends on:
    • “DS treatment proportion failed (no escalation, no need to re-diagnose)”
  • Description:
  • Data entry guidance:

Parameter: SN-DS treatment proportion failed (escalation to MDR, require re-diagnosis)

  • Code name: nd_esc_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-DS treatment outcome” to “SN-MDR undiagnosed”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: d_esc_div
  • Depends on:
    • “DS treatment proportion failed (escalation to MDR, require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: SN-DS treatment proportion of treatments completed + success

  • Code name: nd_succ_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-DS treatment outcome” to “Completed treatment (active)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: d_succ_div
  • Depends on:
    • “DS treatment proportion of treatments completed + success”
  • Description:
  • Data entry guidance:

Parameter: SN-DS treatment proportion of deaths

  • Code name: nd_sad_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-DS treatment outcome” to “Sink: Cumulative TB deaths over simulation”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: d_sad_div
  • Depends on:
    • “DS treatment proportion of deaths”
  • Description:
  • Data entry guidance:

Parameter: MDR treatment number of initiations

  • Code name: m_ntreat
  • Units/format: number
  • Value restrictions: At least 0
  • Default value: None
  • Appears in the databook
  • Used to compute:
    • “SP-MDR treatment number of initiations”
    • “SN-MDR treatment number of initiations”
  • Description:
  • Data entry guidance:

Parameter: SP-MDR treatment number of initiations

  • Code name: pm_ntreat
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “SP-MDR diagnosed but not on treatment” to “SP-MDR on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: m_ntreat*(spmd/max(spmd+snmd, 1.))
  • Depends on:
    • “SN-MDR diagnosed but not on treatment”
    • “MDR treatment number of initiations”
    • “SP-MDR diagnosed but not on treatment”
  • Description:
  • Data entry guidance:

Parameter: SN-MDR treatment number of initiations

  • Code name: nm_ntreat
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “SN-MDR diagnosed but not on treatment” to “SN-MDR on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: m_ntreat*(snmd/max(spmd+snmd, 1.))
  • Depends on:
    • “SN-MDR diagnosed but not on treatment”
    • “MDR treatment number of initiations”
    • “SP-MDR diagnosed but not on treatment”
  • Description:
  • Data entry guidance:

Parameter: MDR treatment average duration of completed treatment

  • Code name: m_duration
  • Units/format: days
  • Value restrictions: At least 1.0000
  • Default value: 540
  • Appears in the databook
  • Used to compute:
    • “MDR treatment average duration until outcome”
  • Description:
  • Data entry guidance:

Parameter: MDR treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: m_ltfu_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.147
  • Appears in the databook
  • Used to compute:
    • “SN-MDR treatment proportion of loss to follow up (require re-diagnosis)”
    • “MDR treatment average duration until outcome”
    • “SP-MDR treatment proportion of loss to follow up (require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: MDR treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: m_fail_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.07
  • Appears in the databook
  • Used to compute:
    • “SN-MDR treatment proportion failed (no escalation, no need to re-diagnose)”
    • “SP-MDR treatment proportion failed (no escalation, no need to re-diagnose)”
  • Description:
  • Data entry guidance:

Parameter: MDR treatment proportion failed (escalation to XDR, require re-diagnosis)

  • Code name: m_esc_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.02
  • Appears in the databook
  • Used to compute:
    • “SN-MDR treatment proportion failed (escalation to XDR, require re-diagnosis)”
    • “SP-MDR treatment proportion failed (escalation to XDR, require re-diagnosis)”
    • “MDR treatment average duration until outcome”
  • Description:
  • Data entry guidance:

Parameter: MDR treatment proportion of treatments completed + success

  • Code name: m_succ_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.634
  • Appears in the databook
  • Used to compute:
    • “SP-MDR treatment proportion of treatments completed + success”
    • “SN-MDR treatment proportion of treatments completed + success”
  • Description:
  • Data entry guidance:

Parameter: MDR treatment proportion of deaths

  • Code name: m_sad_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.129
  • Appears in the databook
  • Used to compute:
    • “SN-MDR treatment proportion of deaths”
    • “MDR treatment average duration until outcome”
    • “SP-MDR treatment proportion of deaths”
  • Description:
  • Data entry guidance:

Parameter: MDR treatment average duration until outcome

  • Code name: mt_dur
  • Units/format: duration
  • Contributes to transitions from:
    • “SP-MDR on treatment” to “Junction: SP-MDR treatment outcome”
    • “SN-MDR on treatment” to “Junction: SN-MDR treatment outcome”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: m_duration*(1-0.5*(m_ltfu_div+m_sad_div+m_esc_div))/365
  • Depends on:
    • “MDR treatment proportion of loss to follow up (require re-diagnosis)”
    • “MDR treatment average duration of completed treatment”
    • “MDR treatment proportion failed (escalation to XDR, require re-diagnosis)”
    • “MDR treatment proportion of deaths”
  • Description:
  • Data entry guidance:

Parameter: SP-MDR treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: pm_ltfu_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-MDR treatment outcome” to “SP-MDR undiagnosed”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: m_ltfu_div
  • Depends on:
    • “MDR treatment proportion of loss to follow up (require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: SP-MDR treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: pm_fail_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-MDR treatment outcome” to “SP-MDR diagnosed but not on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: m_fail_div
  • Depends on:
    • “MDR treatment proportion failed (no escalation, no need to re-diagnose)”
  • Description:
  • Data entry guidance:

Parameter: SP-MDR treatment proportion failed (escalation to XDR, require re-diagnosis)

  • Code name: pm_esc_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-MDR treatment outcome” to “SP-XDR undiagnosed”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: m_esc_div
  • Depends on:
    • “MDR treatment proportion failed (escalation to XDR, require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: SP-MDR treatment proportion of treatments completed + success

  • Code name: pm_succ_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-MDR treatment outcome” to “Completed treatment (active)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: m_succ_div
  • Depends on:
    • “MDR treatment proportion of treatments completed + success”
  • Description:
  • Data entry guidance:

Parameter: SP-MDR treatment proportion of deaths

  • Code name: pm_sad_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-MDR treatment outcome” to “Sink: Cumulative TB deaths over simulation”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: m_sad_div
  • Depends on:
    • “MDR treatment proportion of deaths”
  • Description:
  • Data entry guidance:

Parameter: SN-MDR treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: nm_ltfu_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-MDR treatment outcome” to “SN-MDR undiagnosed”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: m_ltfu_div
  • Depends on:
    • “MDR treatment proportion of loss to follow up (require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: SN-MDR treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: nm_fail_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-MDR treatment outcome” to “SN-MDR diagnosed but not on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: m_fail_div
  • Depends on:
    • “MDR treatment proportion failed (no escalation, no need to re-diagnose)”
  • Description:
  • Data entry guidance:

Parameter: SN-MDR treatment proportion failed (escalation to XDR, require re-diagnosis)

  • Code name: nm_esc_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-MDR treatment outcome” to “SN-XDR undiagnosed”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: m_esc_div
  • Depends on:
    • “MDR treatment proportion failed (escalation to XDR, require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: SN-MDR treatment proportion of treatments completed + success

  • Code name: nm_succ_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-MDR treatment outcome” to “Completed treatment (active)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: m_succ_div
  • Depends on:
    • “MDR treatment proportion of treatments completed + success”
  • Description:
  • Data entry guidance:

Parameter: SN-MDR treatment proportion of deaths

  • Code name: nm_sad_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-MDR treatment outcome” to “Sink: Cumulative TB deaths over simulation”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: m_sad_div
  • Depends on:
    • “MDR treatment proportion of deaths”
  • Description:
  • Data entry guidance:

Parameter: XDR treatment number of initiations

  • Code name: x_ntreat
  • Units/format: number
  • Value restrictions: At least 0
  • Default value: None
  • Appears in the databook
  • Used to compute:
    • “SN-XDR treatment number of initiations”
    • “SP-XDR treatment number of initiations”
  • Description:
  • Data entry guidance:

Parameter: SP-XDR treatment number of initiations

  • Code name: px_ntreat
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “SP-XDR diagnosed but not on treatment” to “SP-XDR on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: x_ntreat*(spxd/max(spxd+snxd, 1.))
  • Depends on:
    • “XDR treatment number of initiations”
    • “SP-XDR diagnosed but not on treatment”
    • “SN-XDR diagnosed but not on treatment”
  • Description:
  • Data entry guidance:

Parameter: SN-XDR treatment number of initiations

  • Code name: nx_ntreat
  • Units/format: number
  • Value restrictions: At least 0
  • Contributes to transitions from:
    • “SN-XDR diagnosed but not on treatment” to “SN-XDR on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: x_ntreat*(snxd/max(spxd+snxd, 1.))
  • Depends on:
    • “XDR treatment number of initiations”
    • “SP-XDR diagnosed but not on treatment”
    • “SN-XDR diagnosed but not on treatment”
  • Description:
  • Data entry guidance:

Parameter: XDR treatment average duration of completed treatment

  • Code name: x_duration
  • Units/format: days
  • Value restrictions: At least 1.0000
  • Default value: 720
  • Appears in the databook
  • Used to compute:
    • “XDR treatment average duration until outcome”
  • Description:
  • Data entry guidance:

Parameter: XDR treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: x_ltfu_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.21
  • Appears in the databook
  • Used to compute:
    • “SN-XDR treatment proportion of loss to follow up (require re-diagnosis)”
    • “SP-XDR treatment proportion of loss to follow up (require re-diagnosis)”
    • “XDR treatment average duration until outcome”
  • Description:
  • Data entry guidance:

Parameter: XDR treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: x_fail_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.21
  • Appears in the databook
  • Used to compute:
    • “SN-XDR treatment proportion failed (no escalation, no need to re-diagnose)”
    • “SP-XDR treatment proportion failed (no escalation, no need to re-diagnose)”
  • Description:
  • Data entry guidance:

Parameter: XDR treatment proportion of treatments completed + success

  • Code name: x_succ_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.3
  • Appears in the databook
  • Used to compute:
    • “SP-XDR treatment proportion of treatments completed + success”
    • “SN-XDR treatment proportion of treatments completed + success”
  • Description:
  • Data entry guidance:

Parameter: XDR treatment proportion of deaths

  • Code name: x_sad_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Default value: 0.28
  • Appears in the databook
  • Used to compute:
    • “SP-XDR treatment proportion of deaths”
    • “SN-XDR treatment proportion of deaths”
    • “XDR treatment average duration until outcome”
  • Description:
  • Data entry guidance:

Parameter: XDR treatment average duration until outcome

  • Code name: xt_dur
  • Units/format: duration
  • Contributes to transitions from:
    • “SP-XDR on treatment” to “Junction: SP-XDR treatment outcome”
    • “SN-XDR on treatment” to “Junction: SN-XDR treatment outcome”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: x_duration*(1-0.5*(x_ltfu_div+x_sad_div))/365
  • Depends on:
    • “XDR treatment average duration of completed treatment”
    • “XDR treatment proportion of deaths”
    • “XDR treatment proportion of loss to follow up (require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: SP-XDR treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: px_ltfu_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-XDR treatment outcome” to “SP-XDR undiagnosed”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: x_ltfu_div
  • Depends on:
    • “XDR treatment proportion of loss to follow up (require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: SP-XDR treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: px_fail_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-XDR treatment outcome” to “SP-XDR diagnosed but not on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: x_fail_div
  • Depends on:
    • “XDR treatment proportion failed (no escalation, no need to re-diagnose)”
  • Description:
  • Data entry guidance:

Parameter: SP-XDR treatment proportion of treatments completed + success

  • Code name: px_succ_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-XDR treatment outcome” to “Completed treatment (active)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: x_succ_div
  • Depends on:
    • “XDR treatment proportion of treatments completed + success”
  • Description:
  • Data entry guidance:

Parameter: SP-XDR treatment proportion of deaths

  • Code name: px_sad_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SP-XDR treatment outcome” to “Sink: Cumulative TB deaths over simulation”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: x_sad_div
  • Depends on:
    • “XDR treatment proportion of deaths”
  • Description:
  • Data entry guidance:

Parameter: SN-XDR treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: nx_ltfu_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-XDR treatment outcome” to “SN-XDR undiagnosed”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: x_ltfu_div
  • Depends on:
    • “XDR treatment proportion of loss to follow up (require re-diagnosis)”
  • Description:
  • Data entry guidance:

Parameter: SN-XDR treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: nx_fail_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-XDR treatment outcome” to “SN-XDR diagnosed but not on treatment”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: x_fail_div
  • Depends on:
    • “XDR treatment proportion failed (no escalation, no need to re-diagnose)”
  • Description:
  • Data entry guidance:

Parameter: SN-XDR treatment proportion of treatments completed + success

  • Code name: nx_succ_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-XDR treatment outcome” to “Completed treatment (active)”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: x_succ_div
  • Depends on:
    • “XDR treatment proportion of treatments completed + success”
  • Description:
  • Data entry guidance:

Parameter: SN-XDR treatment proportion of deaths

  • Code name: nx_sad_div
  • Units/format: proportion
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “Junction: SN-XDR treatment outcome” to “Sink: Cumulative TB deaths over simulation”
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: x_sad_div
  • Depends on:
    • “XDR treatment proportion of deaths”
  • Description:
  • Data entry guidance:

Parameter: SP-DS natural recovery rate

  • Code name: pd_rec
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “SP-DS undiagnosed” to “Completed treatment (active)”
    • “SP-DS diagnosed but not on treatment” to “Completed treatment (active)”
  • Default value: 0.03
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SP-MDR natural recovery rate

  • Code name: pm_rec
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “SP-MDR undiagnosed” to “Completed treatment (active)”
    • “SP-MDR diagnosed but not on treatment” to “Completed treatment (active)”
  • Default value: 0.03
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SP-XDR natural recovery rate

  • Code name: px_rec
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “SP-XDR undiagnosed” to “Completed treatment (active)”
    • “SP-XDR diagnosed but not on treatment” to “Completed treatment (active)”
  • Default value: 0.03
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SN-DS natural recovery rate

  • Code name: nd_rec
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “SN-DS undiagnosed” to “Completed treatment (active)”
    • “SN-DS diagnosed but not on treatment” to “Completed treatment (active)”
  • Default value: 0.16
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SN-MDR natural recovery rate

  • Code name: nm_rec
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “SN-MDR undiagnosed” to “Completed treatment (active)”
    • “SN-MDR diagnosed but not on treatment” to “Completed treatment (active)”
  • Default value: 0.16
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SN-XDR natural recovery rate

  • Code name: nx_rec
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “SN-XDR undiagnosed” to “Completed treatment (active)”
    • “SN-XDR diagnosed but not on treatment” to “Completed treatment (active)”
  • Default value: 0.16
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SP-DS death rate (untreated)

  • Code name: pd_term
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “SP-DS undiagnosed” to “Sink: Cumulative TB deaths over simulation”
    • “SP-DS diagnosed but not on treatment” to “Sink: Cumulative TB deaths over simulation”
  • Default value: 0.12
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SP-MDR death rate (untreated)

  • Code name: pm_term
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “SP-MDR undiagnosed” to “Sink: Cumulative TB deaths over simulation”
    • “SP-MDR diagnosed but not on treatment” to “Sink: Cumulative TB deaths over simulation”
  • Default value: 0.12
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SP-XDR death rate (untreated)

  • Code name: px_term
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “SP-XDR undiagnosed” to “Sink: Cumulative TB deaths over simulation”
    • “SP-XDR diagnosed but not on treatment” to “Sink: Cumulative TB deaths over simulation”
  • Default value: 0.12
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SN-DS death rate (untreated)

  • Code name: nd_term
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “SN-DS undiagnosed” to “Sink: Cumulative TB deaths over simulation”
    • “SN-DS diagnosed but not on treatment” to “Sink: Cumulative TB deaths over simulation”
  • Default value: 0.02
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SN-MDR death rate (untreated)

  • Code name: nm_term
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “SN-MDR undiagnosed” to “Sink: Cumulative TB deaths over simulation”
    • “SN-MDR diagnosed but not on treatment” to “Sink: Cumulative TB deaths over simulation”
  • Default value: 0.02
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: SN-XDR death rate (untreated)

  • Code name: nx_term
  • Units/format: probability
  • Value restrictions: 0-1.0000
  • Contributes to transitions from:
    • “SN-XDR undiagnosed” to “Sink: Cumulative TB deaths over simulation”
    • “SN-XDR diagnosed but not on treatment” to “Sink: Cumulative TB deaths over simulation”
  • Default value: 0.02
  • Appears in the databook
  • Description:
  • Data entry guidance:

Parameter: Disutility weight for active TB

  • Code name: disutility_weight
  • Units/format: None
  • Default value: 1
  • Appears in the databook
  • Used to compute:
    • “YLD rate”
  • Description:
  • Data entry guidance:

Parameter: YLD rate

  • Code name: yld_rate
  • Units/format: Number of people
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: disutility_weight*(spdu+spdd+spmu+spmd+spxu+spxd+sndu+sndd+snmu+snmd+snxu+snxd+spdt+spmt+spxt+sndt+snmt+snxt)
  • Depends on:
    • “SN-XDR undiagnosed”
    • “SN-MDR on treatment”
    • “Disutility weight for active TB”
    • “SP-XDR diagnosed but not on treatment”
    • “SP-XDR on treatment”
    • “SN-DS diagnosed but not on treatment”
    • “SP-DS on treatment”
    • “SN-DS on treatment”
    • “SP-DS diagnosed but not on treatment”
    • “SN-MDR diagnosed but not on treatment”
    • “SP-DS undiagnosed”
    • “SP-MDR undiagnosed”
    • “SP-XDR undiagnosed”
    • “SP-MDR on treatment”
    • “SN-XDR diagnosed but not on treatment”
    • “SN-DS undiagnosed”
    • “SN-MDR undiagnosed”
    • “SP-MDR diagnosed but not on treatment”
    • “SN-XDR on treatment”
  • Used to compute:
    • “DALYs”
  • Description:
  • Data entry guidance:

Parameter: Estimated number of years of life remaining

  • Code name: life_expectancy
  • Units/format: years
  • Default value: 30
  • Appears in the databook
  • Used to compute:
    • “YLL rate”
  • Description:
  • Data entry guidance:

Parameter: YLL rate

  • Code name: yll_rate
  • Units/format: Number of people
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: life_expectancy*:ddis
  • Depends on:
    • “Flow to Sink: Cumulative TB deaths over simulation”
    • “Estimated number of years of life remaining”
  • Used to compute:
    • “DALYs”
  • Description:
  • Data entry guidance:

Parameter: DALYs

  • Code name: daly_rate
  • Units/format: Number of people
  • Default value: None
  • Does not appear in the databook
  • This parameter’s value is computed by a function: yll_rate + yld_rate
  • Depends on:
    • “YLD rate”
    • “YLL rate”
  • Description:
  • Data entry guidance:

Interactions

Interaction: Preference weighting for one population interacting with another

  • Code name: w_ctc
  • Used to compute:
    • “Force of infection experienced by population”
  • Description:
  • Data entry guidance:

Plots

Plot: Population size

  • Definition: alive
  • Description:

Plot: Latent infections

  • Definition: lt_inf
  • Description:

Plot: Active TB

  • Definition: ac_inf
  • Description:

Plot: Active DS-TB

  • Definition: ds_inf
  • Description:

Plot: Active MDR-TB

  • Definition: mdr_inf
  • Description:

Plot: Active XDR-TB

  • Definition: xdr_inf
  • Description:

Plot: New active TB infections

  • Definition: {'New incident cases':['leu_act:flow','llu_act:flow', 'lex_act:flow', 'llx_act:flow', ]}
  • Description:

Plot: Activated TB infections inc. relapse and immigration

  • Definition: {'Incident cases':['p_div:flow','n_div:flow']}
  • Description:

Plot: Smear negative active TB

  • Definition: sn_inf
  • Description:

Plot: Smear positive active TB

  • Definition: sp_inf
  • Description:

Plot: Latent diagnoses

  • Definition: {'Latent diagnoses':['le_ntreat:flow', 'lx_ntreat:flow', 'll_ntreat:flow']}
  • Description:

Plot: New active TB diagnoses

  • Definition: {'Active TB diagnoses':['pd_ndiag:flow','pm_ndiag:flow','px_ndiag:flow','nd_ndiag:flow','nm_ndiag:flow','nx_ndiag:flow']}
  • Description:

Plot: Latent treatment

  • Definition: ltt_inf
  • Description:

Plot: Active treatment

  • Definition: num_treat
  • Description:

Plot: Latent prevalence

  • Definition: lt_prev
  • Description:

Plot: Active prevalence

  • Definition: ac_prev
  • Description:

Plot: DR prevalence

  • Definition: dr_prev
  • Description:

Plot: New active SP-DS diagnoses

  • Definition: pd_ndiag:flow
  • Description:

Plot: New active SP-MDR diagnoses

  • Definition: pm_ndiag:flow
  • Description:

Plot: New active SP-XDR diagnoses

  • Definition: px_ndiag:flow
  • Description:

Plot: New active SN-DS diagnoses

  • Definition: nd_ndiag:flow
  • Description:

Plot: New active SN-MDR diagnoses

  • Definition: nm_ndiag:flow
  • Description:

Plot: New active SN-XDR diagnoses

  • Definition: nx_ndiag:flow
  • Description:

Plot: DS number initiating treatment

  • Definition: {'Active DS-TB treatment initiation':['pd_ntreat:flow','nd_ntreat:flow']}
  • Description:

Plot: MDR number initiating treatment

  • Definition: {'Active MDR-TB treatment initiation':['pm_ntreat:flow','nm_ntreat:flow']}
  • Description:

Plot: XDR number initiating treatment

  • Definition: {'Active XDR-TB treatment initiation':['px_ntreat:flow','nx_ntreat:flow']}
  • Description:

Cascades

Cascade: TB treatment (including recovered)

  • Description:
  • Stages:
    • Active TB
      • Estimated number of people with active TB
    • Diagnosed
      • Known active TB infections
    • Treated
      • Active TB cases on treatment

Cascade: SP treatment

  • Description:
  • Stages:
    • Active SP-TB
      • Suspected SP infections
    • Diagnosed
      • Known SP-DS infections
      • Known SP-MDR infections
      • Known SP-XDR infections
    • Treated
      • SP-DS on treatment
      • SP-MDR on treatment
      • SP-XDR on treatment

Cascade: SN treatment

  • Description:
  • Stages:
    • Active SN-TB
      • Suspected SN infections
    • Diagnosed
      • Known SN-DS infections
      • Known SN-MDR infections
      • Known SN-XDR infections
    • Treated
      • SN-DS on treatment
      • SN-MDR on treatment
      • SN-XDR on treatment