Evaluation of the effects of meteorological factors on COVID-19 prevalence by the distributed lag nonlinear model.

Hongjing AiRongfang NieXiao-Sheng Wang

Published in: Journal of translational medicine (2022)

The effects of meteorological factors on COVID-19 prevalence are nonlinear and hysteretic. Although low temperature and relative humidity may lower the risk of COVID-19, high temperature or relative humidity could also be associated with a high prevalence of COVID-19 in some regions.

Keyphrases

coronavirus disease
sars cov
risk factors
high temperature
air pollution
respiratory syndrome coronavirus