tetano
Editor, Senior Moderator
Environ Health Perspect
. 2023 Dec;131(12):127010.
doi: 10.1289/EHP12146. Epub 2023 Dec 11. Short-Term Exposure to Ambient Air Pollution and Influenza: A Multicity Study in China
Lin-Jie Yu[SUP] 1 [/SUP], Xin-Lou Li[SUP] 2 [/SUP], Yan-He Wang[SUP] 1 [/SUP], Hai-Yang Zhang[SUP] 1 [/SUP], Shi-Man Ruan[SUP] 3 [/SUP], Bao-Gui Jiang[SUP] 1 [/SUP], Qiang Xu[SUP] 1 [/SUP], Yan-Song Sun[SUP] 1 [/SUP], Li-Ping Wang[SUP] 4 [/SUP], Wei Liu[SUP] 1 [/SUP], Yang Yang[SUP] 5 [/SUP], Li-Qun Fang[SUP] 1 [/SUP]
Affiliations
Background: Air pollution is a major risk factor for planetary health and has long been suspected of predisposing humans to respiratory diseases induced by pathogens like influenza viruses. However, epidemiological evidence remains elusive due to lack of longitudinal data from large cohorts.
Objective: Our aim is to quantify the short-term association of influenza incidence with exposure to ambient air pollutants in Chinese cities.
Methods: Based on air pollutant data and influenza surveillance data from 82 cities in China over a period of 5 years, we applied a two-stage time series analysis to assess the association of daily incidence of reported influenza cases with six common air pollutants [particulate matter with aerodynamic diameter ≤2.5μm
(PM2.5), particulate matter with aerodynamic diameter ≤10μm (PM10), NO2, SO2, CO, and O3
], while adjusting for potential confounders including temperature, relative humidity, seasonality, and holiday effects. We built a distributed lag Poisson model for one or multiple pollutants in each individual city in the first stage and conducted a meta-analysis to pool city-specific estimates in the second stage.
Results: A total of 3,735,934 influenza cases were reported in 82 cities from 2015 to 2019, accounting for 72.71% of the overall case number reported in the mainland of China. The time series models for each pollutant alone showed that the daily incidence of reported influenza cases was positively associated with almost all air pollutants except for ozone. The most prominent short-term associations were found for SO2
and NO2 with cumulative risk ratios of 1.094 [95% confidence interval (CI): 1.054, 1.136] and 1.093 (95% CI: 1.067, 1.119), respectively, for each 10μg/m3 increase in the concentration at each of the lags of 1-7 d. Only NO2
showed a significant association with the daily incidence of influenza cases in the multipollutant model that adjusts all six air pollutants together. The impact of air pollutants on influenza was generally found to be greater in children, in subtropical cities, and during cold months.
Discussion: Increased exposure to ambient air pollutants, particularly NO2
, is associated with a higher risk of influenza-associated illness. Policies on reducing air pollution levels may help alleviate the disease burden due to influenza infection. https://doi.org/10.1289/EHP12146.
. 2023 Dec;131(12):127010.
doi: 10.1289/EHP12146. Epub 2023 Dec 11. Short-Term Exposure to Ambient Air Pollution and Influenza: A Multicity Study in China
Lin-Jie Yu[SUP] 1 [/SUP], Xin-Lou Li[SUP] 2 [/SUP], Yan-He Wang[SUP] 1 [/SUP], Hai-Yang Zhang[SUP] 1 [/SUP], Shi-Man Ruan[SUP] 3 [/SUP], Bao-Gui Jiang[SUP] 1 [/SUP], Qiang Xu[SUP] 1 [/SUP], Yan-Song Sun[SUP] 1 [/SUP], Li-Ping Wang[SUP] 4 [/SUP], Wei Liu[SUP] 1 [/SUP], Yang Yang[SUP] 5 [/SUP], Li-Qun Fang[SUP] 1 [/SUP]
Affiliations
- PMID: 38078423
- PMCID: PMC10711743
- DOI: 10.1289/EHP12146
Background: Air pollution is a major risk factor for planetary health and has long been suspected of predisposing humans to respiratory diseases induced by pathogens like influenza viruses. However, epidemiological evidence remains elusive due to lack of longitudinal data from large cohorts.
Objective: Our aim is to quantify the short-term association of influenza incidence with exposure to ambient air pollutants in Chinese cities.
Methods: Based on air pollutant data and influenza surveillance data from 82 cities in China over a period of 5 years, we applied a two-stage time series analysis to assess the association of daily incidence of reported influenza cases with six common air pollutants [particulate matter with aerodynamic diameter ≤2.5μm
(PM2.5), particulate matter with aerodynamic diameter ≤10μm (PM10), NO2, SO2, CO, and O3
], while adjusting for potential confounders including temperature, relative humidity, seasonality, and holiday effects. We built a distributed lag Poisson model for one or multiple pollutants in each individual city in the first stage and conducted a meta-analysis to pool city-specific estimates in the second stage.
Results: A total of 3,735,934 influenza cases were reported in 82 cities from 2015 to 2019, accounting for 72.71% of the overall case number reported in the mainland of China. The time series models for each pollutant alone showed that the daily incidence of reported influenza cases was positively associated with almost all air pollutants except for ozone. The most prominent short-term associations were found for SO2
and NO2 with cumulative risk ratios of 1.094 [95% confidence interval (CI): 1.054, 1.136] and 1.093 (95% CI: 1.067, 1.119), respectively, for each 10μg/m3 increase in the concentration at each of the lags of 1-7 d. Only NO2
showed a significant association with the daily incidence of influenza cases in the multipollutant model that adjusts all six air pollutants together. The impact of air pollutants on influenza was generally found to be greater in children, in subtropical cities, and during cold months.
Discussion: Increased exposure to ambient air pollutants, particularly NO2
, is associated with a higher risk of influenza-associated illness. Policies on reducing air pollution levels may help alleviate the disease burden due to influenza infection. https://doi.org/10.1289/EHP12146.