Health and related economic benefits associated with reduction in air pollution during COVID-19 outbreak in 367 cities in China
Due to the COVID-19 outbreak, the Chinese government implemented nationwide traffic restrictions and self-quarantine measures from January 23 to April 8 (in Wuhan), 2020. We estimated how these measures impacted ambient air pollution and the subsequent consequences on health and the health-related e...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-10-01
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| Series: | Ecotoxicology and Environmental Safety |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651321005935 |
| _version_ | 1818740147409125376 |
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| author | Tingting Ye Suying Guo Yang Xie Zhaoyue Chen Michael J. Abramson Jane Heyworth Simon Hales Alistair Woodward Michelle Bell Yuming Guo Shanshan Li |
| author_facet | Tingting Ye Suying Guo Yang Xie Zhaoyue Chen Michael J. Abramson Jane Heyworth Simon Hales Alistair Woodward Michelle Bell Yuming Guo Shanshan Li |
| author_sort | Tingting Ye |
| collection | DOAJ |
| description | Due to the COVID-19 outbreak, the Chinese government implemented nationwide traffic restrictions and self-quarantine measures from January 23 to April 8 (in Wuhan), 2020. We estimated how these measures impacted ambient air pollution and the subsequent consequences on health and the health-related economy in 367 Chinese cities. A random forests modeling was used to predict the business-as-usual air pollution concentrations in 2020, after adjusting for the impact of long-term trend and weather conditions. We calculated changes in mortality attributable to reductions in air pollution in early 2020 and health-related economic benefits based on the value of statistical life (VSL). Compared with the business-as-usual scenario, we estimated 1239 (95% CI: 844–1578) PM2.5-related deaths were avoided, as were 2777 (95% CI: 1565–3995) PM10-related deaths, 1587 (95% CI: 98–3104) CO-related deaths, 4711 (95% CI: 3649–5781) NO2-related deaths, 215 (95% CI: 116–314) O3-related deaths, and 1088 (95% CI: 774–1421) SO2-related deaths. Based on the reduction in deaths, economic benefits for in PM2.5, PM10, CO, NO2, O3, and SO2 were 1.22, 2.60, 1.36, 4.05, 0.20, and 0.95 billion USD, respectively. Our findings demonstrate the substantial benefits in human health and health-related costs due to improved urban air quality during the COVID lockdown period in China in early 2020. |
| first_indexed | 2024-12-18T01:36:06Z |
| format | Article |
| id | doaj.art-27d0dc13b75e479e9843c4b150b432f5 |
| institution | Directory Open Access Journal |
| issn | 0147-6513 |
| language | English |
| last_indexed | 2024-12-18T01:36:06Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj.art-27d0dc13b75e479e9843c4b150b432f52022-12-21T21:25:26ZengElsevierEcotoxicology and Environmental Safety0147-65132021-10-01222112481Health and related economic benefits associated with reduction in air pollution during COVID-19 outbreak in 367 cities in ChinaTingting Ye0Suying Guo1Yang Xie2Zhaoyue Chen3Michael J. Abramson4Jane Heyworth5Simon Hales6Alistair Woodward7Michelle Bell8Yuming Guo9Shanshan Li10Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia; School of Public Health and Management, Binzhou Medical University, Yantai, Shandong 264003, ChinaNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology (National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention), Shanghai 200025, ChinaSchool of Economics and Management, Beihang University, Beijing 100191, China; Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Beihang University, Beijing 100191, ChinaBarcelona Institute for Global Health (ISGlobal), Barcelona 08003, SpainClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, AustraliaSchool of Population and Global Health, The University of Western Australia, Crawley, WA 6009, AustraliaDepartment of Public Health, University of Otago, Wellington, Otago 9016, New ZealandSchool of Population Health, University of Auckland, Auckland 1010, New ZealandSchool of the Environment, Yale University, New Haven, CT 06520, USAClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia; School of Public Health and Management, Binzhou Medical University, Yantai, Shandong 264003, China; Corresponding author at: Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia.Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia; Corresponding author.Due to the COVID-19 outbreak, the Chinese government implemented nationwide traffic restrictions and self-quarantine measures from January 23 to April 8 (in Wuhan), 2020. We estimated how these measures impacted ambient air pollution and the subsequent consequences on health and the health-related economy in 367 Chinese cities. A random forests modeling was used to predict the business-as-usual air pollution concentrations in 2020, after adjusting for the impact of long-term trend and weather conditions. We calculated changes in mortality attributable to reductions in air pollution in early 2020 and health-related economic benefits based on the value of statistical life (VSL). Compared with the business-as-usual scenario, we estimated 1239 (95% CI: 844–1578) PM2.5-related deaths were avoided, as were 2777 (95% CI: 1565–3995) PM10-related deaths, 1587 (95% CI: 98–3104) CO-related deaths, 4711 (95% CI: 3649–5781) NO2-related deaths, 215 (95% CI: 116–314) O3-related deaths, and 1088 (95% CI: 774–1421) SO2-related deaths. Based on the reduction in deaths, economic benefits for in PM2.5, PM10, CO, NO2, O3, and SO2 were 1.22, 2.60, 1.36, 4.05, 0.20, and 0.95 billion USD, respectively. Our findings demonstrate the substantial benefits in human health and health-related costs due to improved urban air quality during the COVID lockdown period in China in early 2020.http://www.sciencedirect.com/science/article/pii/S0147651321005935COVID-19ChinaAir pollutionHealth burdenEconomic benefits |
| spellingShingle | Tingting Ye Suying Guo Yang Xie Zhaoyue Chen Michael J. Abramson Jane Heyworth Simon Hales Alistair Woodward Michelle Bell Yuming Guo Shanshan Li Health and related economic benefits associated with reduction in air pollution during COVID-19 outbreak in 367 cities in China Ecotoxicology and Environmental Safety COVID-19 China Air pollution Health burden Economic benefits |
| title | Health and related economic benefits associated with reduction in air pollution during COVID-19 outbreak in 367 cities in China |
| title_full | Health and related economic benefits associated with reduction in air pollution during COVID-19 outbreak in 367 cities in China |
| title_fullStr | Health and related economic benefits associated with reduction in air pollution during COVID-19 outbreak in 367 cities in China |
| title_full_unstemmed | Health and related economic benefits associated with reduction in air pollution during COVID-19 outbreak in 367 cities in China |
| title_short | Health and related economic benefits associated with reduction in air pollution during COVID-19 outbreak in 367 cities in China |
| title_sort | health and related economic benefits associated with reduction in air pollution during covid 19 outbreak in 367 cities in china |
| topic | COVID-19 China Air pollution Health burden Economic benefits |
| url | http://www.sciencedirect.com/science/article/pii/S0147651321005935 |
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