Short-term effects of air pollution on the infectious disease spectrum in Shanghai, China: a time-series analysis from 2013 to 2019.

ABSTRACT:

Background

Epidemiological evidence on the effects of air pollution on infectious diseases remains inconsistent, highlighting the need for further research and analysis. We aimed to investigate the relationship between exposure to fine particulate matter (PM_2.5) and ozone (O₃) and the risk of national notifiable infectious diseases in Shanghai, a megacity in China.

Methods

A double-pollutant model was used for each air pollutant, utilizing time-series analysis to separately apply single and distributed lag models (DLMs) to assess the exposure-lag-response relationship for 43 national notifiable infectious diseases (NNIDs) from 2013 to 2019. The model was adjusted for seasonality, long-term trends, mean temperature, relative humidity, and other air pollu

SUBMITTER: Lin Y 

PROVIDER: S-EPMC11825447 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature