ArticleThe Science of the total environment2020
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.
Article in The Science of the total environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 2 of them syntheses that pooled it.
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Who cites it
116 citing papers in PubMed, 2 syntheses or guidelines pooled it, 280 citations in OpenAlex.
- Airborne spread of infectious SARS-CoV-2: Moving forward using lessons from SARS-CoV and MERS-CoV.The Science of the total environment · 2021Pooled it
- Warmer weather unlikely to reduce the COVID-19 transmission: An ecological study in 202 locations in 8 countries.The Science of the total environment · 2021Pooled it
- Impact of temperature variations on burden of lower respiratory infections under climate change (1990-2021).BMC public health · 2025Article
- Natural and socio-environmental factors in the transmission of COVID-19: a comprehensive analysis of epidemiology and mechanisms.BMC public health · 2024Review
- Review
- Systematic analysis and prediction of the burden of lower respiratory tract infections attribute to non-optimal temperature, 1990-2019.Frontiers in public health · 2024Article
- Climate Changes and COVID-19.Advances in experimental medicine and biology · 2024Article
- Multivariate time series short term forecasting using cumulative data of coronavirus.Evolving systems · 2023Article
- Article
- Modeling the Climatic Suitability of COVID-19 Cases in Brazil.Tropical medicine and infectious disease · 2023Article
- COVID-19 Patterns in Araraquara, Brazil: A Multimodal Analysis.International journal of environmental research and public health · 2023Article
- Article
- Environment and COVID-19 incidence: A critical review.Journal of environmental sciences (China) · 2023Review
- The dynamics of early-stage transmission of COVID-19: A novel quantification of the role of global temperature.Gondwana research : international geoscience journal · 2023Article
- Seasonal Variation and Geographical Distribution of COVID-19 across Nigeria (March 2020-July 2021).Vaccines · 2023Article
- Review
- Article
- Association of Meteorological Factors With COVID-19 During Harmattan in Nigeria.Environmental health insights · 2023Article
- What are the Effects of Climate Variables on COVID-19 Pandemic? A Systematic Review and Current Update.Advanced biomedical research · 2023Review
- Did unprecedented air pollution levels cause spike in Delhi's COVID cases during second wave?Stochastic environmental research and risk assessment : research journal · 2023Article
56 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.