Evidence map›Paper›PMID 40457316›Full record

ArticleParasites & vectors2025

Association between landscape transformation and the Chagas disease vector dynamics in a rural area with continuous surveillance and control.

Leonardo Sandon, Diego Weinberg, Manuel O Espinosa, Marcelo C Abril, Roberto Chuit, Ximena Porcasi, Maria V Periago

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Article in Parasites & vectors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Leonardo SandonFundación Mundo Sano, Buenos Aires, Argentina.
Diego WeinbergFundación Mundo Sano, Buenos Aires, Argentina.
Manuel O EspinosaFundación Mundo Sano, Buenos Aires, Argentina.
Marcelo C AbrilFundación Mundo Sano, Buenos Aires, Argentina.
Roberto ChuitFundación Mundo Sano, Buenos Aires, Argentina.
Ximena PorcasiComisión Nacional de Asuntos Espaciales (CONAE), Córdoba, Argentina.
Maria V PeriagoFundación Mundo Sano, Buenos Aires, Argentina. vperiago@mundosano.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Gran Chaco Region of Argentina, a hotspot for neglected tropical diseases (NTDs) including Chagas disease (CD), has undergone significant landscape transformations due to deforestation and agricultural expansion. These changes have altered the dynamics of Triatoma infestans, the primary vector of Trypanosoma cruzi, the causative agent of CD. This study investigates the association between environmental changes and vector infestation patterns in a rural area of Añatuya, Santiago del Estero, Argentina, under continuous surveillance and control since 2005.

methodsEntomological data from 502 households across 13 rural settlements were collected over a decade (2009-2019). Spatial patterns of triatomine infestation were analyzed using kernel density estimation (KDE), and relationships between infestation, land use changes, household density, and proximity to deforested areas were assessed. Random Forest models were employed to identify key predictors of infestation, incorporating variables such as deforestation percentage, distance to agricultural plots, and domestic animal density.

resultsInfestation patterns were highly heterogeneous, with significant hotspots identified in settlements such as Lote 27, Lote 47, and La Salamanca. Household density and distance to main roads emerged as the most important predictors of infestation, with higher infestation rates observed in areas with lower deforestation and greater distance from agricultural plots. Deforestation reduced sylvatic reservoirs of T. cruzi but influenced domestic triatomine populations, particularly in areas with intermediate household density. Continuous surveillance and control efforts, including insecticide application and house improvements, led to a significant reduction in infestation rates over time.

conclusionsLandscape transformation plays a critical role in shaping T. cruzi transmission dynamics. While deforestation reduces sylvatic reservoirs, it also influences domestic triatomine populations, highlighting the complex interplay between environmental changes and vector ecology. Tailored control strategies that address both domestic and sylvatic cycles are essential for sustainable vector elimination. These findings underscore the importance of integrating environmental and spatial factors into CD control programs to achieve certification of transmission-free areas and reduce the burden of CD in endemic regions.

Indexed as

Chagas DiseaseInsect VectorsTriatomaAgricultureAnimalsArgentinaHumansInsect ControlRural PopulationTrypanosoma cruziArgentinaChagas diseaseDeforestationGran ChacoLand use changeSpatial analysisSurveillanceTriatoma infestansVector controlZoonotic disease

Identifiers

PMID40457316
PMCPMC12131463

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LicenceCC BY
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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.