Associations of Ambient Air Pollutants and Meteorological Factors With COVID-19 Transmission in 31 Chinese Provinces: A Time Series Study

Evidence regarding the effects of environmental factors on COVID-19 transmission is mixed. We aimed to explore the associations of air pollutants and meteorological factors with COVID-19 confirmed cases during the outbreak period throughout China. The number of COVID-19 confirmed cases, air pollutan...

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Autores principales:	Han Cao PhD, Bingxiao Li MS, Tianlun Gu MS, Xiaohui Liu MPH, Kai Meng PhD, Ling Zhang PhD
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/8af825be137c4a85adaf091ee50e3270
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spelling	oai:doaj.org-article:8af825be137c4a85adaf091ee50e32702021-11-23T23:04:22ZAssociations of Ambient Air Pollutants and Meteorological Factors With COVID-19 Transmission in 31 Chinese Provinces: A Time Series Study0046-95801945-724310.1177/00469580211060259https://doaj.org/article/8af825be137c4a85adaf091ee50e32702021-11-01T00:00:00Zhttps://doi.org/10.1177/00469580211060259https://doaj.org/toc/0046-9580https://doaj.org/toc/1945-7243Evidence regarding the effects of environmental factors on COVID-19 transmission is mixed. We aimed to explore the associations of air pollutants and meteorological factors with COVID-19 confirmed cases during the outbreak period throughout China. The number of COVID-19 confirmed cases, air pollutant concentrations, and meteorological factors in China from January 25 to February 29, 2020, (36 days) were extracted from authoritative electronic databases. The associations were estimated for a single-day lag as well as moving averages lag using generalized additive mixed models. Region-specific analyses and meta-analysis were conducted in 5 selected regions from the north to south of China with diverse air pollution levels and weather conditions and sufficient sample size. Nonlinear concentration–response analyses were performed. An increase of each interquartile range in PM 2.5 , PM 10 , SO 2 , NO 2 , O 3 , and CO at lag4 corresponded to 1.40 (1.37–1.43), 1.35 (1.32–1.37), 1.01 (1.00–1.02), 1.08 (1.07–1.10), 1.28 (1.27–1.29), and 1.26 (1.24–1.28) ORs of daily new cases, respectively. For 1°C, 1%, and 1 m/s increase in temperature, relative humidity, and wind velocity, the ORs were 0.97 (0.97–0.98), 0.96 (0.96–0.97), and 0.94 (0.92–0.95), respectively. The estimates of PM 2.5 , PM 10 , NO 2 , and all meteorological factors remained significantly after meta-analysis for the five selected regions. The concentration–response relationships showed that higher concentrations of air pollutants and lower meteorological factors were associated with daily new cases increasing. Higher air pollutant concentrations and lower temperature, relative humidity and wind velocity may favor COVID-19 transmission. Controlling ambient air pollution, especially for PM 2.5 , PM 10 , NO 2 , may be an important component of reducing risk of COVID-19 infection. In addition, as winter months are arriving in China, the meteorological factors may play a negative role in prevention. Therefore, it is significant to implement the public health control measures persistently in case another possible pandemic.Han Cao PhDBingxiao Li MSTianlun Gu MSXiaohui Liu MPHKai Meng PhDLing Zhang PhDSAGE PublishingarticlePublic aspects of medicineRA1-1270ENInquiry: The Journal of Health Care Organization, Provision, and Financing, Vol 58 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Public aspects of medicine RA1-1270
spellingShingle	Public aspects of medicine RA1-1270 Han Cao PhD Bingxiao Li MS Tianlun Gu MS Xiaohui Liu MPH Kai Meng PhD Ling Zhang PhD Associations of Ambient Air Pollutants and Meteorological Factors With COVID-19 Transmission in 31 Chinese Provinces: A Time Series Study
description	Evidence regarding the effects of environmental factors on COVID-19 transmission is mixed. We aimed to explore the associations of air pollutants and meteorological factors with COVID-19 confirmed cases during the outbreak period throughout China. The number of COVID-19 confirmed cases, air pollutant concentrations, and meteorological factors in China from January 25 to February 29, 2020, (36 days) were extracted from authoritative electronic databases. The associations were estimated for a single-day lag as well as moving averages lag using generalized additive mixed models. Region-specific analyses and meta-analysis were conducted in 5 selected regions from the north to south of China with diverse air pollution levels and weather conditions and sufficient sample size. Nonlinear concentration–response analyses were performed. An increase of each interquartile range in PM 2.5 , PM 10 , SO 2 , NO 2 , O 3 , and CO at lag4 corresponded to 1.40 (1.37–1.43), 1.35 (1.32–1.37), 1.01 (1.00–1.02), 1.08 (1.07–1.10), 1.28 (1.27–1.29), and 1.26 (1.24–1.28) ORs of daily new cases, respectively. For 1°C, 1%, and 1 m/s increase in temperature, relative humidity, and wind velocity, the ORs were 0.97 (0.97–0.98), 0.96 (0.96–0.97), and 0.94 (0.92–0.95), respectively. The estimates of PM 2.5 , PM 10 , NO 2 , and all meteorological factors remained significantly after meta-analysis for the five selected regions. The concentration–response relationships showed that higher concentrations of air pollutants and lower meteorological factors were associated with daily new cases increasing. Higher air pollutant concentrations and lower temperature, relative humidity and wind velocity may favor COVID-19 transmission. Controlling ambient air pollution, especially for PM 2.5 , PM 10 , NO 2 , may be an important component of reducing risk of COVID-19 infection. In addition, as winter months are arriving in China, the meteorological factors may play a negative role in prevention. Therefore, it is significant to implement the public health control measures persistently in case another possible pandemic.
format	article
author	Han Cao PhD Bingxiao Li MS Tianlun Gu MS Xiaohui Liu MPH Kai Meng PhD Ling Zhang PhD
author_facet	Han Cao PhD Bingxiao Li MS Tianlun Gu MS Xiaohui Liu MPH Kai Meng PhD Ling Zhang PhD
author_sort	Han Cao PhD
title	Associations of Ambient Air Pollutants and Meteorological Factors With COVID-19 Transmission in 31 Chinese Provinces: A Time Series Study
title_short	Associations of Ambient Air Pollutants and Meteorological Factors With COVID-19 Transmission in 31 Chinese Provinces: A Time Series Study
title_full	Associations of Ambient Air Pollutants and Meteorological Factors With COVID-19 Transmission in 31 Chinese Provinces: A Time Series Study
title_fullStr	Associations of Ambient Air Pollutants and Meteorological Factors With COVID-19 Transmission in 31 Chinese Provinces: A Time Series Study
title_full_unstemmed	Associations of Ambient Air Pollutants and Meteorological Factors With COVID-19 Transmission in 31 Chinese Provinces: A Time Series Study
title_sort	associations of ambient air pollutants and meteorological factors with covid-19 transmission in 31 chinese provinces: a time series study
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/8af825be137c4a85adaf091ee50e3270
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Associations of Ambient Air Pollutants and Meteorological Factors With COVID-19 Transmission in 31 Chinese Provinces: A Time Series Study

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