Evaluation of the effects of meteorological factors on COVID-19 prevalence by the distributed lag nonlinear model.
Hongjing AiRongfang NieXiao-Sheng WangPublished 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.