Evidence that high temperatures and intermediate relative humidity might favor the spread of COVID-19 in tropical climate : A case study for the most affected Brazilian cities

Copyright © 2020 Elsevier B.V. All rights reserved..

This study aimed to analyze how meteorological conditions such as temperature, humidity and rainfall can affect the spread of COVID-19 in five Brazilian (São Paulo, Rio de Janeiro, Brasília, Manaus and Fortaleza) cities. The cities selected were those with the largest number of confirmed cases considering data of April 13. Variables such as number of cumulative cases, new daily cases and contamination rate were employed for this study. Our results showed that higher mean temperatures and average relative humidity favored the COVID-19 transmission, differently from reports from coldest countries or periods of time under cool temperatures. Thus, considering the results obtained, intersectoral policies and actions are necessary, mainly in cities where the contamination rate is increasing rapidly. Thus, prevention and protection measures should be adopted in these cities aiming to reduce transmission and the possible collapse of the health system.

Errataetall:

CommentIn: Sci Total Environ. 2020 Oct 1;737:140211. - PMID 32600776

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:729

Enthalten in:

The Science of the total environment - 729(2020) vom: 10. Aug., Seite 139090

Sprache:

Englisch

Beteiligte Personen:

Auler, A C [VerfasserIn]
Cássaro, F A M [VerfasserIn]
da Silva, V O [VerfasserIn]
Pires, L F [VerfasserIn]

Links:

Volltext

Themen:

Air temperature
Coronavirus
Humidity
Journal Article
Meteorology
Principal component analysis
SARS-CoV2

Anmerkungen:

Date Completed 04.06.2020

Date Revised 28.03.2024

published: Print-Electronic

CommentIn: Sci Total Environ. 2020 Oct 1;737:140211. - PMID 32600776

Citation Status MEDLINE

doi:

10.1016/j.scitotenv.2020.139090

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM309713420