Landscape fire PM_2.5 and hospital admissions for cause-specific cardiovascular disease in urban China.

ABSTRACT: There is a growing interest in the health impacts of PM_2.5 originating from landscape fires. We conducted a time-series study to investigate the association between daily exposure to landscape fire PM_2.5 and hospital admissions for cardiovascular events in 184 major Chinese cities. We developed a machine learning model combining outputs from chemical transport models, meteorological information and observed air pollution data to determine daily concentrations of landscape fire PM_2.5. Furthermore, we fitted quasi-Poisson regression to evaluate the link between landscape fire PM_2.5 concentrations and cardiovascular hospitalizations in each city, and conducted random-effects meta-analysis to pool the city-specific estimates. Here we show that, on a

SUBMITTER: Tian Y 

PROVIDER: S-EPMC11542041 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature