# 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

- Active TB

### 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

- Active SP-TB

### 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

- Active SN-TB