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Table 1 Summary of proposed age-related mechanisms

From: Explaining age disparities in tuberculosis burden in Taiwan: a modelling study

Mechanisms

Descriptions

Notation

Prior distribution

Parameters

Definition (unit)

m0

Base model

No additional age-related mechanisms are incorporated.

βbase

0.001–30

Infection rate (per year)

m1

Immune senescence

The risk of developing TB disease following recent or remote infection increases with age, potentially related to comorbidities and health-related behaviours.

σ(C)

0.1–1

Multiplier to baseline progression rates for children, compared to adults

σ(E)

1–10

Multiplier to baseline progression rates for elders, compared to adults

m2

Declining transmissiona

Frequent Mtb transmission in the past generated a substantial number of latently infected population, who become the elderly cases in the present day. A rapid decline of Mtb transmission happens recently because of improved living standard and health service.

βini

0.001–30

Infection rate prior to t0 (per year)

βend

0.001–30

Infection rate at 2017 (per year)

t0

1957–2005

Beginning year of transmission decline

m3

Age-specific assortativity

Mixing between age groups lead to different infection tendencies, as a result of social activity and infectiousness. Elders are additionally restricted to mix with younger age groups in order to retain the high burden in the population.

w(A)

0.2–5

Connectivity weight of adults for mixing with others, compared to children

w(E)

0.2–5

Connectivity weight of elders for mixing with others, compared to children

ε

0.01–1

Isolation factor for mixing between elders and younger age groups

  1. aWe assumed uniform distributions for all prior parameters with the boundaries described. In models with the mechanism of age-specific assortativity (m3, m23, m13, and m123), βbase, βini, and βend represent the infection rates within children, so those prior distributions were modified as 0.001–10