Population impact of fine particulate matter on tuberculosis risk in China: a causal inference.

ABSTRACT:

Background

Previous studies have suggested the potential association between air pollution and tuberculosis incidence, but this association remains inconclusive and evidence to assess causality is particularly lacking. We aimed to draw causal inference between fine particulate matter less than 2.5 μm in diameter (PM_2.5) and tuberculosis in China.

Methods

Granger causality (GC) inference was performed within vector autoregressive models at levels and/or first-differences using annual national aggregated data during 1982-2019, annual provincial aggregated data during 1982-2019 and monthly provincial aggregated data during 2004-2018. Convergent cross-mapping (CCM) approach was used to determine the backbone nonlinear causal association based on the monthly provincial

SUBMITTER: Mao JJ 

PROVIDER: S-EPMC10657490 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature