The role of weather conditions in COVID-19 transmission: a study of a global panel of 1236 regions

Chen Zhang; Hua Liao; Eric Strobl; Hui Li; Ru Li; Steen Solvang Jensen; Ying Zhang

doi:10.1016/j.jclepro.2021.125987

The role of weather conditions in COVID-19 transmission: a study of a global panel of 1236 regions

Chen Zhang, Hua Liao, Eric Strobl, Hui Li, Ru Li, Steen Solvang Jensen, Ying Zhang^*

^*Corresponding author for this work

Economics

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

It is believed that weather conditions such as temperature and humidity have effects on COVID-19 transmission. However, these effects are not clear due to the limited observations and difficulties in separating impact of social distancing. COVID-19 data and social-economic features of 1236 regions in the world (1112 regions at the provincial level and 124 countries with the small land area) were collected. Large-scale satellite data was combined with these data with a regression analysis model to explore the effects of temperature and relative humidity on COVID-19 spreading, as well as the possible transmission risk by seasonal cycles. The result shows that temperature and relative humidity are negatively correlated with COVID-19 transmission throughout the world. Government intervention (e.g. lockdown policies) and lower population movement contributed to decrease the new daily case ratio. Weather conditions are not the decisive factor in COVID-19 transmission, in that government intervention as well as public awareness, could contribute to the mitigation of the spreading of the virus. So, it deserves a dynamic government policy to mitigate COVID-19 transmission in winter.

Original language	English
Article number	125987
Number of pages	13
Journal	Journal of Cleaner Production
Volume	292
Early online date	16 Jan 2021
DOIs	https://doi.org/10.1016/j.jclepro.2021.125987
Publication status	Published - 10 Apr 2021

Bibliographical note

Funding Information:
This work was supported by National Natural Science Foundation of China (71925008, 71521002) and International Graduate Exchange Program of Beijing Institute of Technology. We appreciate Xuan Wang, Yu Qin, and Ying Fu for collection of some of the data. We thank Liyou Wu for his comments. We thank the comments from Seminar at Beijing Institute of Technology on May 28, 2020.

Publisher Copyright:
© 2021 Elsevier Ltd

Keywords

Covid-19
Government intervention
Subnational data
Transmission
Weather condition

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
General Environmental Science
Strategy and Management
Industrial and Manufacturing Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.jclepro.2021.125987Licence: None: All rights reserved

Cite this

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abstract = "It is believed that weather conditions such as temperature and humidity have effects on COVID-19 transmission. However, these effects are not clear due to the limited observations and difficulties in separating impact of social distancing. COVID-19 data and social-economic features of 1236 regions in the world (1112 regions at the provincial level and 124 countries with the small land area) were collected. Large-scale satellite data was combined with these data with a regression analysis model to explore the effects of temperature and relative humidity on COVID-19 spreading, as well as the possible transmission risk by seasonal cycles. The result shows that temperature and relative humidity are negatively correlated with COVID-19 transmission throughout the world. Government intervention (e.g. lockdown policies) and lower population movement contributed to decrease the new daily case ratio. Weather conditions are not the decisive factor in COVID-19 transmission, in that government intervention as well as public awareness, could contribute to the mitigation of the spreading of the virus. So, it deserves a dynamic government policy to mitigate COVID-19 transmission in winter.",

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author = "Chen Zhang and Hua Liao and Eric Strobl and Hui Li and Ru Li and Jensen, {Steen Solvang} and Ying Zhang",

note = "Funding Information: This work was supported by National Natural Science Foundation of China (71925008, 71521002) and International Graduate Exchange Program of Beijing Institute of Technology. We appreciate Xuan Wang, Yu Qin, and Ying Fu for collection of some of the data. We thank Liyou Wu for his comments. We thank the comments from Seminar at Beijing Institute of Technology on May 28, 2020. Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",

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AU - Li, Ru

AU - Jensen, Steen Solvang

AU - Zhang, Ying

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N2 - It is believed that weather conditions such as temperature and humidity have effects on COVID-19 transmission. However, these effects are not clear due to the limited observations and difficulties in separating impact of social distancing. COVID-19 data and social-economic features of 1236 regions in the world (1112 regions at the provincial level and 124 countries with the small land area) were collected. Large-scale satellite data was combined with these data with a regression analysis model to explore the effects of temperature and relative humidity on COVID-19 spreading, as well as the possible transmission risk by seasonal cycles. The result shows that temperature and relative humidity are negatively correlated with COVID-19 transmission throughout the world. Government intervention (e.g. lockdown policies) and lower population movement contributed to decrease the new daily case ratio. Weather conditions are not the decisive factor in COVID-19 transmission, in that government intervention as well as public awareness, could contribute to the mitigation of the spreading of the virus. So, it deserves a dynamic government policy to mitigate COVID-19 transmission in winter.

AB - It is believed that weather conditions such as temperature and humidity have effects on COVID-19 transmission. However, these effects are not clear due to the limited observations and difficulties in separating impact of social distancing. COVID-19 data and social-economic features of 1236 regions in the world (1112 regions at the provincial level and 124 countries with the small land area) were collected. Large-scale satellite data was combined with these data with a regression analysis model to explore the effects of temperature and relative humidity on COVID-19 spreading, as well as the possible transmission risk by seasonal cycles. The result shows that temperature and relative humidity are negatively correlated with COVID-19 transmission throughout the world. Government intervention (e.g. lockdown policies) and lower population movement contributed to decrease the new daily case ratio. Weather conditions are not the decisive factor in COVID-19 transmission, in that government intervention as well as public awareness, could contribute to the mitigation of the spreading of the virus. So, it deserves a dynamic government policy to mitigate COVID-19 transmission in winter.

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The role of weather conditions in COVID-19 transmission: a study of a global panel of 1236 regions

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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