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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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 |
work_keys_str_mv |
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