Development and validation of a predictive ecological model for TB prevalence.

ABSTRACT:

Background

Nationally representative tuberculosis (TB) prevalence surveys provide invaluable empirical measurements of TB burden but are a massive and complex undertaking. Therefore, methods that capitalize on data from these surveys are both attractive and imperative. The aim of this study was to use existing TB prevalence estimates to develop and validate an ecological predictive statistical model to indirectly estimate TB prevalence in low- and middle-income countries without survey data.

Methods

We included national and subnational estimates from 30 nationally representative surveys and 2 district-level surveys in India, resulting in 50 data points for model development (training set). Ecological predictors included TB notification and programmatic data, co-morbidities a

SUBMITTER: Alba S 

PROVIDER: S-EPMC6208279 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature