The study of the correlation between pollutants and their interactions on the incidence of tuberculosis in Changping District based on distribution models

基于分布模型的昌平区污染物及其相互作用与结核病发病率相关性研究

阅读:2

Abstract

BACKGROUND: Air pollution as a potential risk factor, mediator or moderator of TB incidence. Most of the studies focused on the provincial and urban areas, while Changping District, as a high incidence area and county of tuberculosis in Beijing, its relationship with pollutants is not clear, so this study aims to investigate the associations of air pollutants and their interactions on the number of new TB cases in Changping District, Beijing, China. METHODS: Data from Beijing Changping Institute for Tuberculosis Prevention and Treatment on monthly new TB cases from 2014 to 2022. Distributed lag nonlinear models are used to examine the associations of each 10 µg/m(3) increase in PM(10) and NO(2) concentrations, along with extreme exposure episodes, with TB incidence. RESULTS: The cumulative relative risk (RR) of increasing pollutant concentrations is positively correlated with lag months for PM(10), but the opposite result is observed for NO(2). In terms of long and short-term relationships, increased PM(10) concentration and extremely low NO(2) concentration are associated with long-term hazardous for most subgroups, while extremely high PM(10) and NO(2) concentrations are associated with short-term hazardous. CONCLUSION: Increased concentrations of PM(10) and NO(2) having long-term or short-term effects on populations. Therefore, strengthening air quality monitoring and control is of great significance for the prevention of tuberculosis in Beijing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-025-24517-y.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。