Publication date: Feb 08, 2025
This study investigated the relationship between air pollution and influenza incidence in Chongqing from 2013 to 2022 using a generalized additive model (GAM), analyzing 199,712 cases. Subgroup analyses were conducted to investigate the impact of age, gender, season, and the COVID-19. Influenza incidence was positively associated with PM, PM, SO, NO and CO, but negatively with O. SO had the most effect. In single-day lag models, the largest percentage changes in influenza incidence at lag0 for each pollutant were: 2. 930% for SO, 1. 552% for CO, -0. 637% for O, 0. 516% for PM, and 0. 405% for PM. NO 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.
| Concepts | Keywords |
|---|---|
| China | air pollution |
| Influenza | generalized additive models |
| Models | incidence |
| Influenza | |
| time series |
Semantics
| Type | Source | Name |
|---|---|---|
| drug | DRUGBANK | Medical air |
| disease | MESH | influenza |
| disease | MESH | COVID-19 |