The Influence of Meteorological Factors on the Effect of SARS-CoV-2 Transmission and Its Delayed Effect

Abstract

The influence of meteorological factors in the COVID-19 epidemic has been a popular topic in recent years. Since the emergence of Omicron, data on COVID-19 outbreaks unaffected by control measures have begun to accumulate. This paper uses data on the COVID-19 epidemic in Korea after the lifting of control measures on 18 April 2022. This paper uses infection rates corrected for antibody failure function as the response variable and correlates meteorological factors. A delay interval of 40 days was set to investigate the delayed effect of meteorological factors on infection rates. In the logistic regression analysis, temperature difference, barometric pressure difference, mean relative humidity, relative humidity difference and mean wind rating appeared significant. In the ANOVA, mean temperature, temperature difference, barometric pressure difference, mean relative humidity and mean wind rating were found to be significant. This study also shows that there are varying degrees of delay in the effects of the meteorological data.