Exposure-lag response of air temperature on COVID-19 incidence in twelve Italian cities: A meta-analysis.

ABSTRACT: The exposure-lag response of air temperature on daily COVID-19 incidence is unclear and there have been concerns regarding the robustness of previous studies. Here we present an analysis of high spatial and temporal resolution using the distributed lag non-linear modelling (DLNM) framework. Utilising nearly two years' worth of data, we fit statistical models to twelve Italian cities to quantify the delayed effect of air temperature on daily COVID-19 incidence, accounting for several categories of potential confounders (meteorological, air quality and non-pharmaceutical interventions). Coefficients and covariance matrices for the temperature term were then synthesised using random effects meta-analysis to yield pooled estimates of the exposure-lag response with effects presented as the rela

SUBMITTER: Fong FC 

PROVIDER: S-EPMC8925100 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature