Evidence map›Paper›PMID 40299979›Full record

ArticlePLOS global public health2025

The effect of deforestation on COVID-19 transmission to Indigenous peoples in Brazil: A panel fixed-effects analysis before and after vaccination.

Humberto Laudares, Carolina Batista, Pedro Henrique Gagliardi, Rudi Rocha, Nicolas Ray

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Humberto LaudaresFaculty of Medicine, GeoHealth Group, Institute of Global Health, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0001-8266-1897
Carolina BatistaDrugs for Neglected Diseases Initiative (DNDi) Latin America, Rio de Janeiro, Brazil.
Pedro Henrique GagliardiColumbia University, New York, United States of America.
Rudi RochaSão Paulo School of Business Administration, Fundação Getulio Vargas, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-0689-6963
Nicolas RayFaculty of Medicine, GeoHealth Group, Institute of Global Health, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-4696-5313

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brazil had the second-largest death toll during the COVID-19 pandemic, with indigenous peoples disproportionately affected among ethnic groups. Parallel to the pandemic, Brazil has recorded the highest rate of deforestation globally, with encroachments into Indigenous territories putting climate stabilization and biodiversity at risk. However, the effects of deforestation on COVID-19 transmission to Brazil's Indigenous peoples are unknown. This study shows that during the pre-vaccination period, deforestation partially explains COVID-19 transmission among Indigenous populations. Our main results for the pre-vaccination period indicate that a daily increase in deforestation per km2 is associated, on average, with the confirmation of 0.76 (p < 0.004, 95% CI: 0.240 - 1.276) new daily cases of COVID-19 among Indigenous peoples 14 days after deforestation warnings. Our estimates suggest deforestation explains at least 9.6% of all COVID-19 cases among indigenous populations. The association between the two variables disappears after the vaccination program. Our findings provide empirical evidence on the interplay between environmental degradation and negative health outcomes in a vulnerable segment of society in the context of a pandemic. Furthermore, these findings highlight the importance of the One Health approach to building preparedness for future pandemic threats.

Identifiers

PMID40299979
PMCPMC12040269

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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.