ArticlePLoS neglected tropical diseases2019
Spatio-temporal characterization of Trypanosoma cruzi infection and discrete typing units infecting hosts and vectors from non-domestic foci of Chile.
Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Distribution of Mother-to-Child Transmitted (MTCT) Infections and Socioeconomic Vulnerability Within the Gran Chaco Region.Tropical medicine and infectious disease · 2026Article
- Low detection of Trypanosoma cruzi in invasive Rattus spp. across rural and natural habitats in central Chile.One health outlook · 2026Article
- Oral Route Infection byPathogens (Basel, Switzerland) · 2026Review
- Detection ofAnimals : an open access journal from MDPI · 2025Article
- Knowledge, risk perceptions and practices regarding rodents and their associated pathogens: environmental consultants in Chile.One health outlook · 2024Article
- Ecoepidemiology of Chagas Disease in a Biological Corridor in Southeastern Mexico: A Promising Approach to Understand the Risk of Chagas Disease.Journal of parasitology research · 2024Article
- Humans as blood-feeding sources in sylvatic triatomines of Chile unveiled by next-generation sequencing.Parasites & vectors · 2023Article
- NaturalInsects · 2023Article
- Discrete Typing Units ofPathogens (Basel, Switzerland) · 2022Article
- The Parasite Load ofMicroorganisms · 2022Article
- Blood-Meal Sources andMicroorganisms · 2022Article
- The potential risk of enzootic Trypanosoma cruzi transmission inside four training and re-training military battalions (BITER) in Colombia.Parasites & vectors · 2021Article
- Trypanosoma cruzi infection follow-up in a sylvatic vector of Chagas disease: Comparing early and late stage nymphs.PLoS neglected tropical diseases · 2021Article
- Trypanosomatid Infections among Vertebrates of Chile: A Systematic Review.Pathogens (Basel, Switzerland) · 2020Review
- Prevalence, infected density or individual probability of infection? Assessing vector infection risk in the wild transmission of Chagas disease.Proceedings. Biological sciences · 2020Article
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Authors and funding
12 authors.
Funding
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Abstract
backgroundTrypanosoma cruzi is a protozoan parasite that is transmitted by triatomine vectors to mammals. It is classified in six discrete typing units (DTUs). In Chile, domestic vectorial transmission has been interrupted; however, the parasite is maintained in non-domestic foci. The aim of this study was to describe T. cruzi infection and DTU composition in mammals and triatomines from several non-domestic populations of North-Central Chile and to evaluate their spatio-temporal variations. METHODOLOGY/PRINCIPAL
findingsA total of 710 small mammals and 1140 triatomines captured in six localities during two study periods (summer/winter) of the same year were analyzed by conventional PCR to detect kDNA of T. cruzi. Positive samples were DNA blotted and hybridized with specific probes for detection of DTUs TcI, TcII, TcV, and TcVI. Infection status was modeled, and cluster analysis was performed in each locality. We detected 30.1% of overall infection in small mammals and 34.1% in triatomines, with higher rates in synanthropic mammals and in M. spinolai. We identified infecting DTUs in 45 mammals and 110 triatomines, present more commonly as single infections; the most frequent DTU detected was TcI. Differences in infection rates among species, localities and study periods were detected in small mammals, and between triatomine species; temporally, infection presented opposite patterns between mammals and triatomines. Infection clustering was frequent in vectors, and one locality exhibited half of the 21 clusters found. CONCLUSIONS/SIGNIFICANCE: We determined T. cruzi infection in natural host and vector populations simultaneously in a spatially widespread manner during two study periods. All captured species presented T. cruzi infection, showing spatial and temporal variations. Trypanosoma cruzi distribution can be clustered in space and time. These clusters may represent different spatial and temporal risks of transmission.
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