Autor: |
Yang Han, Jacqueline C. K. Lam, Victor O. K. Li, Jon Crowcroft, Jinqi Fu, Jocelyn Downey, Illana Gozes, Qi Zhang, Shanshan Wang, Zafar Gilani |
Jazyk: |
angličtina |
Rok vydání: |
2021 |
Předmět: |
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Zdroj: |
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
Druh dokumentu: |
article |
ISSN: |
2045-2322 |
DOI: |
10.1038/s41598-021-02523-5 |
Popis: |
Abstract This study investigates thoroughly whether acute exposure to outdoor PM2.5 concentration, P, modifies the rate of change in the daily number of COVID-19 infections (R) across 18 high infection provincial capitals in China, including Wuhan. A best-fit multiple linear regression model was constructed to model the relationship between P and R, from 1 January to 20 March 2020, after accounting for meteorology, net move-in mobility (NM), time trend (T), co-morbidity (CM), and the time-lag effects. Regression analysis shows that P (β = 0.4309, p |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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