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Yearly and Daily Relationship Assessment between Air Pollution and Early-Stage COVID-19 Incidence: Evidence from 231 Countries and Regions

by 1, 1,2,*, 3,4, 5,6 and 1
1
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China
2
Research Institute for Sustainable Urban Development, The Hong Kong Polytechnic University, Hong Kong, China
3
School of Geography, South China Normal University, Guangzhou 510000, China
4
College of Geography and Environment, Shandong Normal University, Jinan 250100, China
5
Department of Geography and Resource Management, and Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China
6
Department of Human Geography and Spatial Planning, Utrecht University, 3584 CB Utrecht, The Netherlands
*
Author to whom correspondence should be addressed.
Academic Editors: Fazlay S. Faruque and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(6), 401; https://doi.org/10.3390/ijgi10060401
Received: 7 April 2021 / Revised: 31 May 2021 / Accepted: 4 June 2021 / Published: 10 June 2021
The novel coronavirus disease 2019 (COVID-19) has caused significantly changes in worldwide environmental and socioeconomics, especially in the early stage. Previous research has found that air pollution is potentially affected by these unprecedented changes and it affects COVID-19 infections. This study aims to explore the non-linear association between yearly and daily global air pollution and the confirmed cases of COVID-19. The concentrations of tropospheric air pollution (CO, NO2, O3, and SO2) and the daily confirmed cases between 23 January 2020 and 31 May 2020 were collected at the global scale. The yearly discrepancies of air pollutions and daily air pollution are associated with total and daily confirmed cases, respectively, based on the generalized additive model. We observed that there are significant spatially and temporally non-stationary variations between air pollution and confirmed cases of COVID-19. For the yearly assessment, the number of confirmed cases is associated with the positive fluctuation of CO, O3, and SO2 discrepancies, while the increasing NO2 discrepancies leads to the significant peak of confirmed cases variation. For the daily assessment, among the selected countries, positive linear or non-linear relationships are found between CO and SO2 concentrations and the daily confirmed cases, whereas NO2 concentrations are negatively correlated with the daily confirmed cases; variations in the ascending/declining associations are identified from the relationship of the O3-confirmed cases. The findings indicate that the non-linear relationships between global air pollution and the confirmed cases of COVID-19 are varied, which implicates the needs as well as the incorporation of our findings in the risk monitoring of public health on local, regional, and global scales. View Full-Text
Keywords: COVID-19; confirmed cases; air pollution; generalized additive model COVID-19; confirmed cases; air pollution; generalized additive model
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MDPI and ACS Style

Meng, Y.; Wong, M.S.; Xing, H.; Kwan, M.-P.; Zhu, R. Yearly and Daily Relationship Assessment between Air Pollution and Early-Stage COVID-19 Incidence: Evidence from 231 Countries and Regions. ISPRS Int. J. Geo-Inf. 2021, 10, 401. https://doi.org/10.3390/ijgi10060401

AMA Style

Meng Y, Wong MS, Xing H, Kwan M-P, Zhu R. Yearly and Daily Relationship Assessment between Air Pollution and Early-Stage COVID-19 Incidence: Evidence from 231 Countries and Regions. ISPRS International Journal of Geo-Information. 2021; 10(6):401. https://doi.org/10.3390/ijgi10060401

Chicago/Turabian Style

Meng, Yuan, Man S. Wong, Hanfa Xing, Mei-Po Kwan, and Rui Zhu. 2021. "Yearly and Daily Relationship Assessment between Air Pollution and Early-Stage COVID-19 Incidence: Evidence from 231 Countries and Regions" ISPRS International Journal of Geo-Information 10, no. 6: 401. https://doi.org/10.3390/ijgi10060401

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