Effects of meteorological conditions and air pollution on COVID-19 transmission : Evidence from 219 Chinese cities

Copyright © 2020 Elsevier B.V. All rights reserved..

The spatial distribution of the COVID-19 infection in China cannot be explained solely by geographical distance and regulatory stringency. In this research we investigate how meteorological conditions and air pollution, as concurring factors, impact COVID-19 transmission, using data on new confirmed cases from 219 prefecture cities from January 24 to February 29, 2020. Results revealed a kind of nonlinear dose-response relationship between temperature and coronavirus transmission. We also found that air pollution indicators are positively correlated with new confirmed cases, and the coronavirus further spreads by 5-7% as the AQI increases by 10 units. Further analysis based on regional divisions revealed that in northern China the negative effects of rising temperature on COVID-19 is counteracted by aggravated air pollution. In the southern cities, the ambient temperature and air pollution have a negative interactive effect on COVID-19 transmission, implying that rising temperature restrains the facilitating effects of air pollution and that they jointly lead to a decrease in new confirmed cases. These results provide implications for the control and prevention of this disease and for the anticipation of another possible pandemic.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:741

Enthalten in:

The Science of the total environment - 741(2020) vom: 01. Nov., Seite 140244

Sprache:

Englisch

Beteiligte Personen:

Zhang, Zhenbo [VerfasserIn]
Xue, Ting [VerfasserIn]
Jin, Xiaoyu [VerfasserIn]

Links:

Volltext

Themen:

Air Pollutants
Air pollution
Ambient temperature
COVID-19
China
Journal Article
Particulate Matter
Relative humidity
Wind speed

Anmerkungen:

Date Completed 03.09.2020

Date Revised 10.11.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.scitotenv.2020.140244

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM311711200