A systematic review and meta-analysis on correlation of weather with COVID-19

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.

Infectivity Upsurge by COVID-19 Viral Variants in Japan: Evidence from Deep Learning Modeling

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FeatureCorr: An R package to study feature correlations aided with data transformation for sequencing and microarray data

“…There is an increased application of statistics not only in biomedical fields [20] but also in fields like environmental or atmospheric sciences where researchers still use scatter plots or regression to determine correlation between one prime feature vs one or multiple other features [21]. It can be challenging to find confounders, features that seem to be highly correlated with a prime feature as a cause or effect of association with another feature highly correlated with a prime feature.…”

Role of meteorological factors on SARS-CoV-2 infection incidence in Italy and Spain before the vaccination campaign. A multi-city time series study

“…Similarly, another systematic review showed a negative correlation between SARS-CoV-2 infection incidence and temperature and humidity in most studies ( Briz-Redón and Serrano-Aroca, 2020 ). The first meta-analysis on this topic found significant correlations between temperature, humidity and wind speed with SARS-CoV-2 infection incidence ( Majumder and Ray, 2021 ). A more recent systematic review found a negative association between temperature and humidity with SARS-CoV-2 mortality in the majority of studies ( Romero Starke et al, 2021 ).…”