Modeling and Preliminary Analysis of the Impact of Meteorological Conditions on the COVID-19 Epidemic.

ABSTRACT: Since the COVID-19 epidemic outbreak at the end of 2019, many studies regarding the impact of meteorological factors on the attack have been carried out, and inconsistent conclusions have been reached, indicating the issue's complexity. To more accurately identify the effects and patterns of meteorological factors on the epidemic, we used a combination of logistic regression (LgR) and partial least squares regression (PLSR) modeling to investigate the possible effects of common meteorological factors, including air temperature, relative humidity, wind speed, and surface pressure, on the transmission of the COVID-19 epidemic. Our analysis shows that: (1) Different countries and regions show spatial heterogeneity in the number of diagnosed patients of the epidemic, but this can be roughly cl

SUBMITTER: Sun C 

PROVIDER: S-EPMC9140896 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature