ICU admissions and in-hospital deaths linked to COVID-19 in the Paris region are correlated with previously observed ambient temperature

Author:

Mejdoubi MehdiORCID,Kyndt Xavier,Djennaoui Mehdi

Abstract

The purpose of this ecological study was to explore the association of weather with severity indicators of coronavirus disease 2019 (COVID-19). Daily COVID-19-related intensive care unit (ICU) admissions and in-hospital deaths in the Paris region and the daily weather characteristics of Paris midtown were correlated with a time lag. We assessed different study periods (41, 45, 50, 55, and 62 days) beginning from 31 March 2020. Daily ICU admissions and in-hospital deaths were strongly and negatively correlated to ambient temperatures (minimal, average, and maximal). The highest Pearson correlation coefficients and statistically significant p values were found 8 days before the occurrence of ICU admissions and 15 days before deaths. Partial correlations with adjustment on days since lockdown showed similar significant results. The study findings show a negative correlation of previously observed ambient temperature with severity indicators of COVID-19 that could partly explain the death toll discrepancies between and within countries.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference21 articles.

1. Editorial: low population mortality from COVID-19 in countries south of latitude 35 degrees North supports vitamin D as a factor determining severity;JM Rhodes;Aliment Pharmacol Ther,2020

2. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study;F Zhou;Lancet,2020

3. Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study;MJ Cummings;Lancet,2020

4. Santé publique France. Nombre quotidien de personnes nouvellement décédées pour COVID-19. Available from: https://geodes.santepubliquefrance.fr/#c=indicator&i=covid_hospit_incid.incid_dc&s=2020-05-22&t=a01&view=map2

5. Meteo France. QUEL TEMPS FAISAIT-IL LE …? Available from: http://www.meteofrance.com/climat/meteo-date-passee

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