Evidence map›Paper›PMID 40531672›Full record

ArticleMemorias do Instituto Oswaldo Cruz2025

Assessing the spatial influence of deforestation on malaria incidence in Pará State, Amazon region, Brazil, 2008-2019.

Carla Gisele Ribeiro Garcia, Beatriz C Ribeiro, Alcinês S Souza Júnior, Lilian Jéssica P Lima, Marinete M Póvoa, Gabriel Z Laporta, Maristela G Cunha

Abstract read
In one paragraph

Article in Memorias do Instituto Oswaldo Cruz, 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

7 authors.

Carla Gisele Ribeiro GarciaUniversidade Federal do Pará, Instituto de Ciências Biológicas, Laboratório de Microbiologia e Imunologia, Belém, PA, Brasil.
Beatriz C RibeiroUniversidade Federal do Pará, Instituto de Ciências Biológicas, Laboratório de Microbiologia e Imunologia, Belém, PA, Brasil.
Alcinês S Souza JúniorSecretaria de Estado da Saúde do Pará, Belém, PA, Brasil.
Lilian Jéssica P LimaUniversidade Federal do Pará, Instituto de Ciências Biológicas, Laboratório de Microbiologia e Imunologia, Belém, PA, Brasil.
Marinete M PóvoaMinistério da Saúde, Instituto Evandro Chagas, Seção de Parasitologia, Ananindeua, PA, Brasil.
Gabriel Z LaportaCentro Universitário Faculdade de Medicina do ABC, Pós-Graduação e Pesquisa, Santo André, SP, Brasil.ORCID http://orcid.org/0000-0001-7412-9390
Maristela G CunhaUniversidade Federal do Pará, Instituto de Ciências Biológicas, Laboratório de Microbiologia e Imunologia, Belém, PA, Brasil.ORCID http://orcid.org/0000-0003-0489-7495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria transmission is prevalent in tropical regions and is heavily influenced by environmental factors such as deforestation, which is particularly significant in the Brazilian Amazon, especially in Pará State.

objectiveThis study aimed to assess the relationship between deforestation indicators and malaria incidence across all 144 municipalities in Pará.

methodsUsing municipal-level data from 2008 to 2019, the study applied geographically weighted regression (GWR) to analyse spatial relationships between malaria incidence and deforestation metrics. These metrics included forest cover loss from the previous year, pastureland, forest cover, fragmentation, urbanisation, and water levels, analysed over three distinct 4-year periods. The study also incorporated poverty levels to examine their influence on municipalities with high malaria risk.

findingsDuring the study period, the total deforested area in Pará was 30,000 km2, with 679,846 malaria cases reported. Malaria incidence rates varied across municipalities, with stable rates in high-risk areas, and were linked to pastureland, forest loss, fragmentation, and forest cover. The GWR models effectively captured spatial heterogeneity in these interactions. MAIN

conclusionsMalaria incidence was associated with areas of Pará State experiencing significant forest loss and fragmentation, indicating that changes in forest composition and configuration influence malaria risk.

Indexed as

Conservation of Natural ResourcesMalariaBrazilForestsHumansIncidenceRisk FactorsSpatial AnalysisSpatial Regression

Identifiers

PMID40531672
PMCPMC12165713

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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.