Application of provincial data in mathematical modelling to inform sub-national tuberculosis program decision-making in South Africa.

ABSTRACT: South Africa has the highest tuberculosis (TB) disease incidence rate in the world, and TB is the leading infectious cause of death. Decisions on, and funding for, TB prevention and care policies are decentralised to the provincial governments and therefore, tools to inform policy need to operate at this level. We describe the use of a mathematical model planning tool at provincial level in a high HIV and TB burden country, to estimate the impact on TB burden of achieving the 90-(90)-90 targets of the Stop TB Partnership Global Plan to End TB. "TIME Impact" is a freely available, user-friendly TB modelling tool. In collaboration with provincial TB programme staff, and the South African National TB Programme, models for three (of nine) provinces were calibrated to TB notifications, incidenc

SUBMITTER: Hippner P 

PROVIDER: S-EPMC6347133 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature