Evidence map›Paper›PMID 32936443›Full record

ArticleJournal of racial and ethnic health disparities2021

Territories Under Siege: Risks of the Decimation of Indigenous and Quilombolas Peoples in the Context of COVID-19 in South Brazil.

Maurício Polidoro, Francisco de Assis Mendonça, Stela Nazareth Meneghel, Alan Alves-Brito, Marcelo Gonçalves, Fernanda Bairros, Daniel Canavese

Abstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Observational
  3. Socioecology and Prevalence of SARS-CoV-2 Infection in Quilombolas Living in the Brazilian Amazon.American journal of human biology : the official journal of the Human Biology Council · 2025
    Article
  4. Article
  5. Interactions between climate and COVID-19.The Lancet. Planetary health · 2022
    Review
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Review
  11. Review
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

7 authors.

Maurício PolidoroFederal Institute of Rio Grande do Sul, Porto Alegre, Brazil. mauricio.polidoro@gmail.com.ORCID 0000-0002-7278-0718
Francisco de Assis MendonçaFederal University of Paraná, Curitiba, Brazil.
Stela Nazareth MeneghelFederal University of Rio Grande do Sul, Porto Alegre, Brazil.ORCID 0000-0002-7219-7178
Alan Alves-BritoFederal University of Rio Grande do Sul, Porto Alegre, Brazil.
Marcelo GonçalvesState University of Londrina, Londrina, Brazil.
Fernanda BairrosFederal University of Rio Grande do Sul, Porto Alegre, Brazil.
Daniel CanaveseFederal University of Rio Grande do Sul, Porto Alegre, Brazil.ORCID 0000-0003-0110-5739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current health, political, and environmental crisis ongoing in Brazil and the advances of the impacts of COVID-19 in traditional populations (as indigenous and quilombolas) are not yet prioritized in the scientific production about the novel coronavirus. We performed spatial correlation analysis to map the clusters and outliers of COVID-19 in South of Brazil to identify indigenous and quilombolas communities impacted right now in the pandemic. We show that communities located nearby metropolitan areas and mid-sized cities are the most impacted by the COVID-19 and the advance of the transmission to inner states may intensify the ongoing historical process of elimination of indigenous and quilombolas people. We call for a global response to the indigenous and quilombolas situation in Brazil, pointing to the need of more analysis in the country.

Indexed as

Health Status DisparitiesBrazilCitiesCOVID-19HumansPopulation GroupsRiskSpatial AnalysisBrazilCOVID-19IndigenousQuilombolas

Identifiers

PMID32936443
PMCPMC7493698

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.