Combined effects of air pollution and meteorological factors on the risk of newly tuberculosis cases: a time-series study in Tibet, China.

ABSTRACT: The Tibet Autonomous Region, the world's highest region, faces high tuberculosis (TB) rates, exacerbated by its unique environment and climate. However, the combined impact of air pollution and meteorological factors exposure on the prevalence of TB remains understudied. Daily data on TB cases, air pollutants (PM₁₀, PM_2.5, SO₂, NO₂, O₃, and CO), and meteorological factors (temperature, precipitation, and wind speed) between 2019 and 2023 were collected. Weighted Quantile Sum (WQS) regression and Bayesian Kernel Machine Regression (BKMR) models were employed to assess the combined and individual effects of these environmental factors on TB prevalence. Moreover, gender, occupation, and year-specific distinction were explored using subgro

SUBMITTER: Guo L 

PROVIDER: S-EPMC12689801 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature