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The impact of temperature on the transmission potential and virulence of COVID-19 in Tokyo, Japan
Preprint
de En
| PREPRINT-MEDRXIV
| ID: ppmedrxiv-21258529
Journal article
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A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT
BackgroundAssessing the impact of temperature on COVID-19 epidemiology is critical for implementing non-pharmaceutical interventions. However, few studies have accounted for the nature of contagious diseases, i.e., their dependent happenings. AimWe aimed to quantify the impact of temperature on the transmissibility and virulence of COVID-19 in Tokyo, Japan. We employed two epidemiological measurements of transmissibility and severity the effective reproduction number (Rt) and case fatality risk (CFR). MethodsWe used empirical surveillance data and meteorological data in Tokyo to estimate the Rt and time-delay adjusted CFR and to subsequently assess the nonlinear and delay effect of temperature on Rt and time-delay adjusted CFR. ResultsFor Rt at low temperatures, the cumulative relative risk (RR) at first temperature percentile (3.3{degrees}C) was 1.3 (95% confidence interval (CI) 1.1-1.7). As for the virulence to humans, moderate cold temperatures were associated with higher CFR, and CFR also increased as the temperature rose. The cumulative RR at the 10th and 99th percentiles of temperature (5.8{degrees}C and 30.8{degrees}C) for CFR were 3.5 (95%CI 1.3-10) and 6.4 (95%CI 4.1-10.1). ConclusionsThis study provided information on the effects of temperature on the COVID-19 epidemiology using Rt and time-delay adjusted CFR. Our results suggest the importance to take precautions to avoid infection in both cold and warm seasons to avoid severe cases of COVID-19. The results and proposed framework will also help in assessing possible seasonal course of COVID-19 in the future.
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Texte intégral:
1
Collection:
09-preprints
Base de données:
PREPRINT-MEDRXIV
Type d'étude:
Experimental_studies
/
Prognostic_studies
Langue:
En
Année:
2021
Type de document:
Preprint