Evidence map›Paper›PMID 40355894›Full record

ArticleInfectious diseases of poverty2025

Wildlife hunting and the increased risk of leprosy transmission in the tropical Americas: a pathogeographical study.

Alisa Aliaga-Samanez, Patricia D Deps, Julia E Fa, Raimundo Real, Jean-François Guégan, Marcela A Oliveira, Aline Pessutti, Simon Knoop, Juliano A Bogoni, Thais Q Morcatty and 6 more

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

16 authors.

Alisa Aliaga-SamanezGroup of Biogeography, Diversity and Conservation, Department of Animal Biology, Faculty of Sciences, University of Malaga, Malaga, Spain. alisa.aliaga@ird.fr.ORCID http://orcid.org/0000-0002-8721-6896
Patricia D DepsDepartment of Social Medicine, Postgraduate Program in Infectious Diseases, Federal University of Espírito Santo, Vitória, Brasil.ORCID https://orcid.org/0000-0002-9707-1934
Julia E FaCenter for International Forestry Research (CIFOR), Bogor, Indonesia.ORCID https://orcid.org/0000-0002-1572-9828
Raimundo RealGroup of Biogeography, Diversity and Conservation, Department of Animal Biology, Faculty of Sciences, University of Malaga, Malaga, Spain.ORCID https://orcid.org/0000-0002-6642-1284
Jean-François GuéganMIVEGEC (UMR University of Montpellier, CNRS, IRD), Montpellier, France.ORCID https://orcid.org/0000-0002-7218-107X
Marcela A OliveiraResearch Network On Diversity, Conservation and Use of Wildlife in Amazonia (RedeFauna), Manaus, Brazil.ORCID https://orcid.org/0000-0002-4129-993X
Aline PessuttiDepartment of Biology, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-8415-2682
Simon KnoopLiving Gaia E.V., Berlin, Germany.
Juliano A BogoniPostgraduate Program in Environmental Sciences, Limnology, Biodiversity, and Ethnobiology Research Center of Pantanal, Mammalogy Laboratory, State University of Mato Grosso, Cáceres, MT, Brazil.ORCID https://orcid.org/0000-0002-8541-0556
Thais Q MorcattyResearch Network On Diversity, Conservation and Use of Wildlife in Amazonia (RedeFauna), Manaus, Brazil.ORCID https://orcid.org/0000-0002-3095-7052
Roberta MarquesBiodiversity Laboratory, Agroecology and Environment Center, Institute of Sciences, Benemérita Autonomous University of Puebla, Puebla, Mexico.ORCID https://orcid.org/0000-0002-5037-0718
Daniel Jiménez-GarcíaBiodiversity Laboratory, Agroecology and Environment Center, Institute of Sciences, Benemérita Autonomous University of Puebla, Puebla, Mexico.ORCID https://orcid.org/0000-0002-2237-3305
Gabriel F MassocatoWildlife Conservation Institute (ICAS), Campo Grande, Mato Grosso do Sul, Brazil.ORCID https://orcid.org/0000-0003-1226-1622
Arnaud L DesbiezWildlife Conservation Institute (ICAS), Campo Grande, Mato Grosso do Sul, Brazil.ORCID https://orcid.org/0000-0001-5968-6025
Danilo KluyberMIVEGEC (UMR University of Montpellier, CNRS, IRD), Montpellier, France.ORCID https://orcid.org/0000-0002-8964-566X
Hani R El BizriCenter for International Forestry Research (CIFOR), Bogor, Indonesia.ORCID https://orcid.org/0000-0003-1524-6292

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 150261/2023-3Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.717863/2022-00Global Challenges Research Fund ES/S008160/1Gordon and Betty Moore Foundation GBMF9258Leprosy Research Initiative FP25\19Ministerio de Ciencia e Innovación PID2021-124063OB-I00Universidad de Málaga Postdoctoral Contract of the Plan Propio de InvestigaciónUniversidad de Málaga Transferencia y Divulgación CientíficaVisiting Fellowship Program for Early Career Researchers MOPGA Fellowship
6 · The paper itself

Abstract

backgroundLeprosy remains a persistent public health challenge, where human-to-human transmission of Mycobacterium leprae via respiratory droplets is well established. In the tropical Americas, growing evidence implicates armadillos as important zoonotic reservoirs, particularly through direct contact during hunting and handling. However, such transmission has so far been considered rare and highly localised. This study provides a comprehensive spatial analysis of the role of armadillo hunting in human leprosy transmission, quantifying its contribution to disease prevalence and identifying geographic hotspots where interventions could be most effective.

methodsUsing Brazil's 326,001 reported leprosy cases from 2013 to 2022, we applied a pathogeographical approach to explore transmission dynamics. We compiled data on 554 hunted armadillos across 175 municipalities and M. leprae prevalence in 376 armadillo individuals from 97 municipalities (mean prevalence = 38.5%). These were used to build spatial models assessing hunting-related infection risk and integrated as a variable into a generalised linear model alongside socioeconomic, climatic, and environmental predictors to evaluate their effects on human leprosy prevalence.

resultsKey predictors of armadillo hunting included higher population density (P < 0.001) and firearm availability (P < 0.01). Infection in armadillos was negatively correlated with native habitat coverage (coefficient: - 2.28; P < 0.001), suggesting that environmental degradation can amplify infection risk. The armadillo-hunting infection risk variable-generated by combining armadillo hunting and infection favourability models-emerged as the second strongest predictor of human leprosy prevalence (coefficient: 1.69; P < 0.001), accounting for ~ 25% of cases nationally and around 40% in deforestation hotspots. Additional positive predictors included greater precipitation seasonality (coefficient: 0.82; P < 0.001) and malnutrition (coefficient: 0.01; P < 0.001), while higher population density (coefficient: - 0.64; P < 0.001), natural habitat coverage (coefficient: - 0.50; P < 0.001) and socioeconomic status (coefficient: - 0.47; P = 0.013) were linked to reduced disease prevalence.

conclusionsArmadillo hunting seems to play a more significant role in human leprosy transmission than previously recognised. To address this overlooked pathway, targeted interventions should focus on reducing unsafe and illegal hunting, improving communication around zoonotic risks, strengthening disease surveillance in high-risk areas, and conducting genetic studies to confirm wildlife-to-human transmission. Our findings highlight the importance of incorporating wildlife-associated transmission pathways into strategies to reduce disease prevalence and mitigate future outbreaks in tropical regions facing rapid environmental change and persistent poverty.

Indexed as

ArmadillosHuntingLeprosyZoonosesAnimalsAnimals, WildBrazilDisease ReservoirsHumansMycobacterium lepraePrevalenceRisk FactorsArmadilloDisease ecologyHuman-animal interactionMycobacterium lepraePathogeographyZoonotic diseases

Identifiers

PMID40355894
PMCPMC12067952

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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.