Influence of temperature, and of relative and absolute humidity on COVID-19 incidence in England - A multi-city time-series study.

ABSTRACT:

Background

SARS-CoV-2 caused the COVID-19 pandemic in 2020. The virus is likely to show seasonal dynamics in European climates as other respiratory viruses and coronaviruses do. Analysing the association with meteorological factors might be helpful to anticipate how cases will develop with changing seasons.

Methods

Routinely measured ambient daily mean temperature, absolute humidity, and relative humidity were the explanatory variables of this analysis. Test-positive COVID-19 cases represented the outcome variable. The analysis included 54 English cities. A two-stage meta-regression was conducted. At the first stage, we used a quasi-Poisson generalized linear model including distributed lag non-linear elements. Thereby, we investigate the explanatory variables' non-linear ef

SUBMITTER: Nottmeyer LN 

PROVIDER: S-EPMC7935674 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature