期刊
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 28, 期 33, 页码 45087-45095出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-13834-5
关键词
Air pollution; COVID-19; Environmental factors
资金
- National Natural Science Foundation of China [41975141, 41961028, 20206185010]
- China Scholarship Council
In Shanghai, the study found that temperature, temperature humidity index, and wind effect index were negatively associated with daily confirmed COVID-19 cases, while air quality index, PM2.5, PM10, NO2, and SO2 were significantly associated with an increase in cases.
The outbreak of coronavirus disease 2019 (COVID-19) continues to spread worldwide and has led to recession, rising unemployment, and the collapse of the health-care system. The aim of this study was to explore the exposure-response relationship between daily confirmed COVID-19 cases and environmental factors. We used a time-series generalized additive model (GAM) to investigate the short-term association between COVID-19 and environmental factors by using daily meteorological elements, air pollutant concentration, and daily confirmed COVID-19 cases from January 21, 2020, to February 29, 2020, in Shanghai, China. We observed significant negative associations between daily confirmed COVID-19 cases and mean temperature (T-ave), temperature humidity index (THI), and index of wind effect (K), whereas air quality index (AQI), PM2.5, PM10 NO2, and SO2 were significantly associated with the increase in daily confirmed COVID-19 cases. A 1 degrees C increase in T-ave, one-unit increase in THI, and 10-unit increase in K (lag 0-7 days) were associated with 4.7, 1.8, and 1.6% decrease in daily confirmed cases, respectively. Daily T-ave, THI, K, PM10, and SO2 had significant lag and persistence (lag 0-7 days), whereas the lag and persistence of AQI, PM2.5, and NO2 were significant at both lag 0-7 and 0-14 days. A 10-mu g/m(3) increase in PM10 and 1-mu g/m(3) increase in SO2 was associated with 13.9 and 5.7% increase in daily confirmed cases at lag 0-7 days, respectively, whereas a 10-unit increase in AQI and a 10-mu g/m(3) increase in PM2.5 and NO2 were associated with 7.9, 7.8, and 10.1% increase in daily confirmed cases at lag 0-14 days, respectively. Our findings have important implications for public health in the city of Shanghai.
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