Exposure-lag response of air temperature on COVID-19 incidence in twelve Italian cities: A meta-analysis
Fang Chyi Fong, Daniel R. Smith
Abstract
at 0.2 °C is 0.72 [0.56,0.91] times that of the highest risk. Due to this non-linearity, the shape of the lag response curve necessarily varied by temperature. This work suggests that on a given day, air temperature approximately 15 °C maximises the incidence of COVID-19, with the effects distributed in the subsequent ten days or more.
Topics & Concepts
Distributed lagLagConfoundingStatisticsCoronavirus disease 2019 (COVID-19)Random effects modelEnvironmental scienceIncidence (geometry)Relative riskMathematicsConfidence intervalDemographyMeta-analysisMedicineDiseasePathologyComputer scienceComputer networkInternal medicineSociologyInfectious disease (medical specialty)GeometryCOVID-19 epidemiological studiesClimate Change and Health ImpactsInfection Control and Ventilation