MaxEnt modeling and risk evaluation of chagas disease vectors in the domestic cycle of Hidalgo, Mexico
PLOS Neglected Tropical Diseases·
- DOI
- 10.1371/journal.pntd.0013199
- PMID
- 40743131
- PMCID
- PMC12312938
- OpenAlex
- W4412793822
- Study type
- Journal article
- Publisher
- Public Library of Science (PLoS)
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The validated distribution models identify areas of suitable habitat for Chagas disease vectors in the domestic cycle, providing information to support epidemiological control efforts and improve surveillance strategies in Hidalgo, Mexico.
Structured evidence summary
Research question
The study aimed to determine the potential distribution of four triatomine vector species in the domestic cycle of Chagas disease in Hidalgo state, Mexico, and to validate these predictions through field collections.
Study design
MaxEnt ecological niche modeling was applied to over 500 occurrence records combined with bioclimatic, topographic, and land cover variables. Model performance was assessed using Area Under the Curve metrics, and experimental field validation was conducted at predicted sites.
Population and setting
The study focused on four triatomine vector species (Triatoma dimidiata, T. mexicana, T. gerstaeckeri, and T. barberi) in the domestic transmission cycle within Hidalgo state, Mexico.
Main findings
All models achieved AUC values of 0.8 or higher, indicating good performance. Field validation showed high concordance between model predictions and actual field observations, confirming the presence of three vector species and the validity of the modeling approach. Key distribution determinants included climate types, altitude, and anthropogenic factors.
Public-health relevance
The validated distribution models identify areas of suitable habitat for Chagas disease vectors in the domestic cycle, providing information to support epidemiological control efforts and improve surveillance strategies in Hidalgo, Mexico.
Important limitations
This summary relies on the supplied single-article abstract and metadata. Full interpretation of methodological constraints, sample size considerations, temporal scope, and generalizability requires access to the complete published paper.
GIDS interpretation
This paper was identified through classifier links for Chagas disease, Mexico, and topics including climate and environment, surveillance, and transmission dynamics. These tags aid discoverability within the literature repository but do not represent a live surveillance signal or epidemiological alert.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 8 auditable classifier relationships to diseases, places, topics, and study design.