Short-term effects of ambient air pollution on influenza incidence in Chongqing, China: a time-series analysis

showed the largest change at lag11 (1.376%). In multi-day lag models, changes peaked at lag011-014. Stratified analyses revealed children aged 0-14 years as particularly vulnerable during the cold season and COVID-19 period. The study demonstrates that short-term lags and cumulative effects of air pollution exposure increase influenza incidence, significant for establishing influenza response strategies.