Outdoor PM_2.5 concentration and rate of change in COVID-19 infection in provincial capital cities in China.

ABSTRACT: 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 < 0.001) is the most significant determinant of R. In addition, T (β = -0.3870, p < 0.001), absolute humidity (AH) (β = 0.2476, p = 0.002), P × AH (β = -0.2237, p < 0.001), and NM (β = 0.1383, p = 0.003) are more significant determinants of R,

SUBMITTER: Han Y 

PROVIDER: S-EPMC8636470 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature