Evidence map›Paper›PMID 35224172›Full record

ArticleOne health (Amsterdam, Netherlands)2022

Climatic factors associated with economic determinants significantly affect the spread of COVID-19 in tropical Brazil.

David Prata, Waldecy Rodrigues, Daniela Mascarenhas de Queiroz Trevisan, Wainesten Camargo, Humberto Frizzera, Rafael Carvalho, Gentil Barbosa, Clayton Alvares, Marina F Moreira, Paulo H De Souza Bermejo

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

David PrataProgram of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
Waldecy RodriguesProgram of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
Daniela Mascarenhas de Queiroz TrevisanProgram of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
Wainesten CamargoProgram of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
Humberto FrizzeraProgram of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
Rafael CarvalhoProgram of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
Gentil BarbosaProgram of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
Clayton AlvaresUnesp, Faculdade de Ciências Agronômicas, Botucatu 18610-034, Brazil.
Marina F MoreiraResearch and Development Center for Public Sector Excellence and Transformation (NExT) of the Department of Administration, University of Brasilia, Brazil.
Paulo H De Souza BermejoResearch and Development Center for Public Sector Excellence and Transformation (NExT) of the Department of Administration, University of Brasilia, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study investigates the spatial differences in the occurrence of COVID-19 in Brazilian Tropical Zone and its relationship with climatic, demographic, and economic factors based on data from February 2020 to May 2021.

methodsA Linear Regression Model with the GDP per capita, demographic density and climatic factors from 5.534 Brazilian cities with (sub)tropical climate was designed and used to explain the spread of COVID-19 in Brazil. MAIN

resultsThe model shows evidence that economic, demographic and climate factors maintain a relationship with the variation in the number of cases of COVID-19. The Köppen climate classification defines climatic regions by rainfall and temperature. Some studies have shown an association between temperature and humidity and the survival of SARS-CoV-2. In this cohort study, Brazilian cities located in tropical regions without a dry season (monthly rainfall > 60 mm) showed a greater prevalence than in cities located in tropical regions with a dry season (some monthly rainfall < 60 mm).

conclusionEmpirical evidence shows that the Brazil's tropical-climate cities differ in the number (contamination rate) of COVID-19 cases, mainly because of humidity. This study aims to alert the research community and public policy-makers to the trade-off between temperature and humidity for the stability of SARS-COV-2, and the implications for the spread of the virus in tropical climate zones.

Indexed as

Brazilian tropical zoneClimateCOVID-19DemographicEconomicSARS-CoV-2

Identifiers

PMID35224172
PMCPMC8856754

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.