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.
【초록키워드】 COVID-19, coronavirus disease, intensive care, lockdown, severity, ICU, Characteristics, ICU admission, death, temperature, correlation, Admission, association, deaths, time lag, In-hospital death, study period, average, Paris, negative correlation, discrepancy, Pearson correlation coefficient, ambient, Daily, Occurrence, highest, Partial, correlated, statistically significant, explain, ecological, 【제목키워드】 COVID-19, ICU admission, temperature, In-hospital death, Paris, ambient, correlated,