Impact of short-term exposure to high ambient temperature on pulmonary tuberculosis: a 5-year time-series analysis in Beijing.

ABSTRACT:

Background

Seasonal variation has been observed in the occurrence of pulmonary tuberculosis (PTB). However, whether this variation can be attributed to suboptimal ambient temperatures remains unclear.

Methods

In this study, 30,898 PTB events were identified in Beijing, China, from 2019 to 2023. A distributed-lag non-linear model (DLNM) was utilized to assess the association of daily ambient mean temperature with PTB risk and population-attributable risks, adjusting for potential time-varying confounders.

Results

The reference was the minimum morbidity temperature (MMT) of 1.1 °C. The risk of PTB associated with extremely (27.7 °C), sub-extremely (25.2 °C) and moderately (22.0 °C) high temperature occurred on the concurrent day, attenuated on lag 1 day and thereafter b

SUBMITTER: Li S 

PROVIDER: S-EPMC12727902 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature