A systematic review and meta-analysis on correlation of weather with COVID-19
Poulami Majumder, Partha Pratim Ray
Abstract
This study presents a systematic review and meta-analysis over the findings of significance of correlations between weather parameters (temperature, humidity, rainfall, ultra violet radiation, wind speed) and COVID-19. The meta-analysis was performed by using 'meta' package in R studio. We found significant correlation between temperature (0.11 [95% CI 0.01-0.22], 0.22 [95% CI, 0.16-0.28] for fixed effect death rate and incidence, respectively), humidity (0.14 [95% CI 0.07-0.20] for fixed effect incidence) and wind speed (0.58 [95% CI 0.49-0.66] for fixed effect incidence) with the death rate and incidence of COVID-19 (p < 0.01). The study included 11 articles that carried extensive research work on more than 110 country-wise data set. Thus, we can show that weather can be considered as an important element regarding the correlation with COVID-19.