Influence of Meteorological Factors on the COVID-19 Transmission with Season and Geographic Location

The purpose of this study is to investigate whether the relationship between meteorological factors (i.e., daily maximum temperature, minimum temperature, average temperature, temperature range, relative humidity, average wind speed and total precipitation) and COVID-19 transmission is affected by s...

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Main Authors: Xiao-Dong Yang, Hong-Li Li, Yue-E Cao
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/18/2/484
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spelling doaj-5b81e0249aac4d12a99315af3f042ce02021-01-10T00:00:33ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012021-01-011848448410.3390/ijerph18020484Influence of Meteorological Factors on the COVID-19 Transmission with Season and Geographic LocationXiao-Dong Yang0Hong-Li Li1Yue-E Cao2Department of Geography and Spatial Information Techniques/Center for Land and Marine Spatial Utilization and Governance Research, Ningbo University, Ningbo 315211, ChinaDepartment of Geography and Spatial Information Techniques/Center for Land and Marine Spatial Utilization and Governance Research, Ningbo University, Ningbo 315211, ChinaSchool of Environmental and Geographical Science, Shanghai Normal University, Shanghai 200234, ChinaThe purpose of this study is to investigate whether the relationship between meteorological factors (i.e., daily maximum temperature, minimum temperature, average temperature, temperature range, relative humidity, average wind speed and total precipitation) and COVID-19 transmission is affected by season and geographical location during the period of community-based pandemic prevention and control. COVID-19 infected case records and meteorological data in four cities (Wuhan, Beijing, Urumqi and Dalian) in China were collected. Then, the best-fitting model of COVID-19 infected cases was selected from four statistic models (Gaussian, logistic, lognormal distribution and allometric models), and the relationship between meteorological factors and COVID-19 infected cases was analyzed using multiple stepwise regression and Pearson correlation. The results showed that the lognormal distribution model was well adapted to describing the change of COVID-19 infected cases compared with other models (R<sup>2</sup> > 0.78; <i>p</i>-values < 0.001). Under the condition of implementing community-based pandemic prevention and control, relationship between COVID-19 infected cases and meteorological factors differed among the four cities. Temperature and relative humidity were mainly the driving factors on COVID-19 transmission, but their relations obviously varied with season and geographical location. In summer, the increase in relative humidity and the decrease in maximum temperature facilitate COVID-19 transmission in arid inland cities, while at this point the decrease in relative humidity is good for the spread of COVID-19 in coastal cities. For the humid cities, the reduction of relative humidity and the lowest temperature in the winter promote COVID-19 transmission.https://www.mdpi.com/1660-4601/18/2/484community-based pandemic prevention and controlgeographical locationprecipitationrelative humidityseasontemperature
collection DOAJ
language English
format Article
sources DOAJ
author Xiao-Dong Yang
Hong-Li Li
Yue-E Cao
spellingShingle Xiao-Dong Yang
Hong-Li Li
Yue-E Cao
Influence of Meteorological Factors on the COVID-19 Transmission with Season and Geographic Location
International Journal of Environmental Research and Public Health
community-based pandemic prevention and control
geographical location
precipitation
relative humidity
season
temperature
author_facet Xiao-Dong Yang
Hong-Li Li
Yue-E Cao
author_sort Xiao-Dong Yang
title Influence of Meteorological Factors on the COVID-19 Transmission with Season and Geographic Location
title_short Influence of Meteorological Factors on the COVID-19 Transmission with Season and Geographic Location
title_full Influence of Meteorological Factors on the COVID-19 Transmission with Season and Geographic Location
title_fullStr Influence of Meteorological Factors on the COVID-19 Transmission with Season and Geographic Location
title_full_unstemmed Influence of Meteorological Factors on the COVID-19 Transmission with Season and Geographic Location
title_sort influence of meteorological factors on the covid-19 transmission with season and geographic location
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1661-7827
1660-4601
publishDate 2021-01-01
description The purpose of this study is to investigate whether the relationship between meteorological factors (i.e., daily maximum temperature, minimum temperature, average temperature, temperature range, relative humidity, average wind speed and total precipitation) and COVID-19 transmission is affected by season and geographical location during the period of community-based pandemic prevention and control. COVID-19 infected case records and meteorological data in four cities (Wuhan, Beijing, Urumqi and Dalian) in China were collected. Then, the best-fitting model of COVID-19 infected cases was selected from four statistic models (Gaussian, logistic, lognormal distribution and allometric models), and the relationship between meteorological factors and COVID-19 infected cases was analyzed using multiple stepwise regression and Pearson correlation. The results showed that the lognormal distribution model was well adapted to describing the change of COVID-19 infected cases compared with other models (R<sup>2</sup> > 0.78; <i>p</i>-values < 0.001). Under the condition of implementing community-based pandemic prevention and control, relationship between COVID-19 infected cases and meteorological factors differed among the four cities. Temperature and relative humidity were mainly the driving factors on COVID-19 transmission, but their relations obviously varied with season and geographical location. In summer, the increase in relative humidity and the decrease in maximum temperature facilitate COVID-19 transmission in arid inland cities, while at this point the decrease in relative humidity is good for the spread of COVID-19 in coastal cities. For the humid cities, the reduction of relative humidity and the lowest temperature in the winter promote COVID-19 transmission.
topic community-based pandemic prevention and control
geographical location
precipitation
relative humidity
season
temperature
url https://www.mdpi.com/1660-4601/18/2/484
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