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Effects of Meteorological Factors and Air Pollutants on COVID-19 Transmission under the Action of Control Measures

At present, COVID-19 is still spreading, and its transmission patterns and the main factors that affect transmission behavior still need to be thoroughly explored. To this end, this study collected the cumulative confirmed cases of COVID-19 in China by 8 April 2020. Firstly, the spatial characterist...

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Autores principales: Han, Fei, Zheng, Xinqi, Wang, Peipei, Liu, Dongya, Zheng, Minrui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9368642/
https://www.ncbi.nlm.nih.gov/pubmed/35954676
http://dx.doi.org/10.3390/ijerph19159323
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author Han, Fei
Zheng, Xinqi
Wang, Peipei
Liu, Dongya
Zheng, Minrui
author_facet Han, Fei
Zheng, Xinqi
Wang, Peipei
Liu, Dongya
Zheng, Minrui
author_sort Han, Fei
collection PubMed
description At present, COVID-19 is still spreading, and its transmission patterns and the main factors that affect transmission behavior still need to be thoroughly explored. To this end, this study collected the cumulative confirmed cases of COVID-19 in China by 8 April 2020. Firstly, the spatial characteristics of the COVID-19 transmission were investigated by the spatial autocorrelation method. Then, the factors affecting the COVID-19 incidence rates were analyzed by the generalized linear mixed effect model (GLMMs) and geographically weighted regression model (GWR). Finally, the geological detector (GeoDetector) was introduced to explore the influence of interactive effects between factors on the COVID-19 incidence rates. The results showed that: (1) COVID-19 had obvious spatial aggregation. (2) The control measures had the largest impact on the COVID-19 incidence rates, which can explain the difference of 34.2% in the COVID-19 incidence rates, while meteorological factors and pollutant factors can only explain the difference of 1% in the COVID-19 incidence rates. It explains that some of the literature overestimates the impact of meteorological factors on the spread of the epidemic. (3) The influence of meteorological factors was stronger than that of air pollution factors, and the interactive effects between factors were stronger than their individual effects. The interaction between relative humidity and NO(2) was stronger. The results of this study will provide a reference for further prevention and control of COVID-19.
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spelling pubmed-93686422022-08-12 Effects of Meteorological Factors and Air Pollutants on COVID-19 Transmission under the Action of Control Measures Han, Fei Zheng, Xinqi Wang, Peipei Liu, Dongya Zheng, Minrui Int J Environ Res Public Health Article At present, COVID-19 is still spreading, and its transmission patterns and the main factors that affect transmission behavior still need to be thoroughly explored. To this end, this study collected the cumulative confirmed cases of COVID-19 in China by 8 April 2020. Firstly, the spatial characteristics of the COVID-19 transmission were investigated by the spatial autocorrelation method. Then, the factors affecting the COVID-19 incidence rates were analyzed by the generalized linear mixed effect model (GLMMs) and geographically weighted regression model (GWR). Finally, the geological detector (GeoDetector) was introduced to explore the influence of interactive effects between factors on the COVID-19 incidence rates. The results showed that: (1) COVID-19 had obvious spatial aggregation. (2) The control measures had the largest impact on the COVID-19 incidence rates, which can explain the difference of 34.2% in the COVID-19 incidence rates, while meteorological factors and pollutant factors can only explain the difference of 1% in the COVID-19 incidence rates. It explains that some of the literature overestimates the impact of meteorological factors on the spread of the epidemic. (3) The influence of meteorological factors was stronger than that of air pollution factors, and the interactive effects between factors were stronger than their individual effects. The interaction between relative humidity and NO(2) was stronger. The results of this study will provide a reference for further prevention and control of COVID-19. MDPI 2022-07-29 /pmc/articles/PMC9368642/ /pubmed/35954676 http://dx.doi.org/10.3390/ijerph19159323 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Han, Fei
Zheng, Xinqi
Wang, Peipei
Liu, Dongya
Zheng, Minrui
Effects of Meteorological Factors and Air Pollutants on COVID-19 Transmission under the Action of Control Measures
title Effects of Meteorological Factors and Air Pollutants on COVID-19 Transmission under the Action of Control Measures
title_full Effects of Meteorological Factors and Air Pollutants on COVID-19 Transmission under the Action of Control Measures
title_fullStr Effects of Meteorological Factors and Air Pollutants on COVID-19 Transmission under the Action of Control Measures
title_full_unstemmed Effects of Meteorological Factors and Air Pollutants on COVID-19 Transmission under the Action of Control Measures
title_short Effects of Meteorological Factors and Air Pollutants on COVID-19 Transmission under the Action of Control Measures
title_sort effects of meteorological factors and air pollutants on covid-19 transmission under the action of control measures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9368642/
https://www.ncbi.nlm.nih.gov/pubmed/35954676
http://dx.doi.org/10.3390/ijerph19159323
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