Outdoor PM2.5 concentration and rate of change in COVID-19 infection in provincial capital cities in China

Outdoor PM2.5 concentration and rate of change in COVID-19 infection in provincial capital cities in China

This study investigates thoroughly whether acute exposure to outdoor PM 2.5 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...

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Veröffentlicht in:Scientific reports 2021-12, Vol.11 (1), p.1-12, Article 23206
Hauptverfasser: Han, Yang, Lam, Jacqueline C. K., Li, Victor O. K., Crowcroft, Jon, Fu, Jinqi, Downey, Jocelyn, Gozes, Illana, Zhang, Qi, Wang, Shanshan, Gilani, Zafar
Format: Artikel
Sprache:eng
Schlagworte:
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Absolute humidity
Asthma
Coronaviruses
Correlation analysis
COVID-19
Disease transmission
Humanities and Social Sciences
Mathematical models
Morbidity
multidisciplinary
Particulate matter
Regression analysis
Science
Science (multidisciplinary)
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Zusammenfassung:This study investigates thoroughly whether acute exposure to outdoor PM 2.5 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  
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-021-02523-5