Exploration of the impact of air pollutants on the influenza epidemic after the emergence of COVID-19: based on Jiangsu Province, China (2020–2024) DOI Creative Commons
Chuansheng Zheng,

Xin Jiang,

Yi Yin

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: April 14, 2025

Background Non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic altered influenza transmission patterns, yet age-specific effects of air pollutants on dynamics remain unclear. Methods Utilizing surveillance data Jiangsu Province from 2020 to 2024, we integrated generalized additive quasi-Poisson regression model and distributed lag non-linear models (DLNM) quantify lagged exposure-response relationships between (NO 2 , SO PM 2.5 ) risk across young, middle-aged, older adult groups. Meteorological factors, including temperature humidity, as well implementation stages NPIs, were controlled in isolate impact transmission. Results The NO both showed significant positive all age effect is most young group (RR = 5.02, 95% CI: 4.69–5.37), while exhibited pronounced middle-aged groups 4.22, 3.36–5.30; RR 8.31, 5.77–11.96, respectively). elevated risks 1.99, 1.87–2.12) 1.45, 1.07–1.94) Interactions meteorological factors (temperature, humidity) statistically insignificant. Conclusions Air pollutant impacts are age-dependent: dominates younger populations, whereas disproportionately affects adults. These findings highlight age-related vulnerability pollution need for targeted public health strategies different population subgroups.

Language: Английский

Exploration of the impact of air pollutants on the influenza epidemic after the emergence of COVID-19: based on Jiangsu Province, China (2020–2024) DOI Creative Commons
Chuansheng Zheng,

Xin Jiang,

Yi Yin

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: April 14, 2025

Background Non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic altered influenza transmission patterns, yet age-specific effects of air pollutants on dynamics remain unclear. Methods Utilizing surveillance data Jiangsu Province from 2020 to 2024, we integrated generalized additive quasi-Poisson regression model and distributed lag non-linear models (DLNM) quantify lagged exposure-response relationships between (NO 2 , SO PM 2.5 ) risk across young, middle-aged, older adult groups. Meteorological factors, including temperature humidity, as well implementation stages NPIs, were controlled in isolate impact transmission. Results The NO both showed significant positive all age effect is most young group (RR = 5.02, 95% CI: 4.69–5.37), while exhibited pronounced middle-aged groups 4.22, 3.36–5.30; RR 8.31, 5.77–11.96, respectively). elevated risks 1.99, 1.87–2.12) 1.45, 1.07–1.94) Interactions meteorological factors (temperature, humidity) statistically insignificant. Conclusions Air pollutant impacts are age-dependent: dominates younger populations, whereas disproportionately affects adults. These findings highlight age-related vulnerability pollution need for targeted public health strategies different population subgroups.

Language: Английский

Citations

0