Evidence map›Paper›PMID 42063090›Full record

ArticleParasites & vectors2026

Human occupation, not forest structure, determines sand fly abundance in the Amazon.

Andreia Fernandes Brilhante, Fredy Galvis-Ovallos, Felipe Trovalim Jordão, Leandro José Ramos, Roberto Cardoso Ilacqua, Wandercleyson Uchôa Abreu, Melissa Suzanne Nolan, Fernanda Portela Madeira, Glauco Martins Silva, Thais Costa Santos and 4 more

Abstract read
In one paragraph

Article in Parasites & vectors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Andreia Fernandes BrilhanteCenter for Health Sciences and Sports, Federal University of Acre, Rio Branco, AC, Brazil.
Fredy Galvis-OvallosDepartment of Epidemiology, School of Public Health, University of São Paulo, São Paulo, SP, Brazil.
Felipe Trovalim JordãoCenter for Natural and Human Sciences, Federal University of ABC, São Bernardo do Campo, SP, Brazil.
Leandro José RamosCenter for Health Sciences and Sports, Federal University of Acre, Rio Branco, AC, Brazil.
Roberto Cardoso IlacquaGraduate Program in Health Sciences, FMABC University Center, Santo André, SP, Brazil.
Wandercleyson Uchôa AbreuCenter for Natural and Human Sciences, Federal University of ABC, São Bernardo do Campo, SP, Brazil.
Melissa Suzanne NolanDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Fernanda Portela MadeiraMultidisciplinary Center, Forest Campus, Federal University of Acre, Cruzeiro do Sul, AC, Brazil.
Glauco Martins SilvaMultidisciplinary Center, Forest Campus, Federal University of Acre, Cruzeiro do Sul, AC, Brazil.
Thais Costa SantosCenter for Natural and Human Sciences, Federal University of ABC, São Bernardo do Campo, SP, Brazil.
Paula Ribeiro PristForests and Grasslands Programme, IUCN, Washington, DC, USA.
Denis ValleSchool of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL, USA.
Marcia Aparecida SperançaCenter for Natural and Human Sciences, Federal University of ABC, São Bernardo do Campo, SP, Brazil.
Gabriel Zorello LaportaGraduate Program in Health Sciences, FMABC University Center, Santo André, SP, Brazil. gabriel.laporta@fmabc.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 307293/2023-8Conselho Nacional de Desenvolvimento Científico e Tecnológico 401549/2023-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2021/06669-6Fundação de Amparo à Pesquisa do Estado de São Paulo 22/10392-2Fundação de Amparo à Pesquisa do Estado de São Paulo 23/08053-8
6 · The paper itself

Abstract

backgroundAcross Amazonian deforestation frontiers, phlebotomine sand flies transmit Leishmania spp., the causative agents of American cutaneous leishmaniasis (ACL). Landscape modification can alter vector ecology and transmission risk, yet the relative roles of forest cover, landscape configuration, and deforestation timeline remain poorly understood. We evaluated how landscape composition and configuration, assessed across multiple spatial scales, and deforestation timeline influence sand fly abundance and Leishmania infection in Cruzeiro do Sul, Acre, Brazil.

methodsSand flies were collected at 20 study sites during two cross-sectional surveys conducted in 2022 and 2024. Landscape metrics, including forest cover and edge density, were quantified within circular buffers of 3, 5, and 7 km

resultsForest cover and edge density, across all spatial scales, were not associated with sand fly abundance or Leishmania infection. In contrast, longer deforestation timelines were consistently associated with higher sand fly abundance, driven largely by increased captures of the sand fly species Nyssomyia antunesi. No landscape variable showed a clear association with infection occurrence.

conclusionsSand fly abundance in this Amazonian frontier was associated with the duration of human occupation rather than with current forest structure. These findings suggest that vector populations can persist in human-modified landscapes and highlight the importance of incorporating deforestation timeline into ACL surveillance and risk assessment.

Indexed as

Anthropogenic EffectsForestsInsect VectorsLeishmaniasis, CutaneousPhlebotomusPopulation DensityAnimalsBrazilConservation of Natural ResourcesFemaleHumansLeishmaniaMaleOne HealthTropical ClimateAmazon regionBayesian analysisCutaneousDeforestationDisease vectorsLand useLeishmaniasisPsychodidaeSpatial analysis

Identifiers

PMID42063090
PMCPMC13192195

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.