ORIGINAL RESEARCH article
Front. Public Health
Sec. Environmental Health and Exposome
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1585086
Time series analysis of low-concentration air pollution and hospital respiratory disease outpatient visits
Provisionally accepted- 1Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, Fujian Province, China
- 2Fuzhou Center for Disease Control and Prevention, Fuzhou, Fujian Province, China
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The aim of this study aimed aimed to analyze the effects of short-term exposure to low concentrations of air pollutants on the volume of respiratory outpatient visits in hospitals and their lagged effects.The study collected outpatient data from seven hospitals in Fuzhou City, air pollution data provided by the Fuzhou Environmental Monitoring Center Station, and meteorological data from the Fuzhou Meteorological Bureau for analysis from 2019-2022. Time series analysis was used to explore the relationship between air pollutants and meteorological factors and daily outpatient visits for respiratory diseases by constructing a generalized linear model (GLM).Results: From 2019 to 2022, the total outpatient volume of respiratory diseases in 7 hospitals in Fuzhou was 1,530,000, with pediatrics accounting for 72.44% and internal medicine accounting for 27.56%. Air pollutants such as PM2.5, PM10, NO2, and SO2 all had significant impacts on the total respiratory and pediatric respiratory outpatient volumes. NO2 and PM10 had the greatest impact on respiratory diseases on the day of pollution exposure or one day later, while SO2 and PM2.5 exhibited longer lag effects, with the most significant impact occurring at a lag period of 4-6 days. The impact of air pollution on pediatric respiratory disease outpatient visits was generally more significant than that on adult. Conclusion: Low concentrations of air pollution significantly impacted respiratory outpatient visits in Fuzhou, especially in children. Despite relatively good air quality, air pollution in low-pollution areas poses a public health risk, highlighting the need for targeted pollution control policies.
Keywords: Air Pollution, Respiratory diseases, time series analysis, Low-concentration air pollution, Disease risk
Received: 28 Feb 2025; Accepted: 30 Apr 2025.
Copyright: © 2025 Wang, Chen, Zhou, Kang, Jiang, Xiang, Wu, Li, Chen and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Zhiwei Chen, Fuzhou Center for Disease Control and Prevention, Fuzhou, 350004, Fujian Province, China
Chuancheng Wu, Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, 350004, Fujian Province, China
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