Modeling the spatial distribution of Chagas disease vectors using environmental variables and people´s knowledge

Hernández, Jaime; Núñez, Ignacia; Bacigalupo, Antonella; Cattan, Pedro E.

doi:10.1186/1476-072x-12-29

Cited by 16 publications

(21 citation statements)

References 34 publications

(36 reference statements)

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“…Previous work has shown that vector distributions are influenced by climate, land cover 100 types and rural/urban classifications [19][20][21][22][23][24]. Environmental variables for these three 101 data types were obtained at a nominal resolution of 5 × 5 kilometres.…”

Section: Environmental Variables 99mentioning

confidence: 99%

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Modelling geospatial distributions of the triatomine vectors of Trypanosoma cruzi in Latin America

Bender

Python

Lindsay

et al. 2019

Preprint

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Approximately 150 triatomine species are known to be infected with the Chagas parasite, Trypanosoma cruzi, but they differ in the risk they pose to human populations. The largest risk comes from species that have a domestic life cycle and these species have been targeted by indoor residual spraying campaigns, which have been successful in many locations. It is now important to consider residual transmission that may be linked to persistent populations of dominant vectors, or to secondary or minor vectors. The aim of this project was to define the geographical distributions of the community of triatomine species in Latin America. Presence-only data with over 12, 000 observations of triatomine vectors were extracted from a public database and target-group background data were generated to account for sampling bias in the presence data. Geostatistical regression was then applied to estimate species distributions and fine-scale distribution maps were generated for thirty triatomine vector species. The results for Panstrongylus geniculatus, P. megistus, Triatoma barberi, T. brasiliensis, and T. pseudomaculata are presented in detail and the model validation results for each of the 30 species are presented in full. The predictive maps for all species are made publicly available so that they can be used to assess the communities of vectors present within different regions of the endemic zone. The maps are presented alongside key indicators for the capacity of each species to transmit T. cruzi to humans. These indicators include infection prevalence, evidence for human blood meals, and colonisation or invasion of homes. A summary of these indicators shows that the majority of the 30 species mapped by this study have the potential to transmit T. cruzi to humans. Author summaryThe Pan American Health Organisation's Strategy and Plan of Action for Chagas Disease Prevention, Control and Care highlights the importance of eliminating those triatomine vector species that colonise homes, and has had great success in many locations. Since indoor residual spraying campaigns have targeted these species, their importance relative to other vectors has diminished and their geographical distributions August 16, 2019 1/18 may also have changed. It is now vital to consider the full community of vector species, including previously dominant vectors as well as secondary or minor vector species, in order to target residual transmission to humans. Our aim was to define the geographical distributions of the most commonly reported triatomine species in Latin America. We extracted reports of triatomine vector species observed at specific locations from a public database and we used a geostatistical model to generate fine-scale predictive maps for thirty triatomine vector species. We present these maps alongside a summary of key indicators related to the capacity of each species to transmit the Chagas parasite to humans. We show that most of the 30 species that we have mapped pose a potential threat to human populations.

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Section: Environmental Variables 99mentioning

confidence: 99%

“…Earlier studies [19,20,22,23,25], most notably [24], have modelled the distributions 279 of some of these species but only in specific regions, states or countries. Additionally, 280 comparisons with the previous work are limited because of differences in methodology, 281 data sets and spatial extent under consideration.…”

mentioning

confidence: 99%

Modelling geospatial distributions of the triatomine vectors of Trypanosoma cruzi in Latin America

Bender

Python

Lindsay

et al. 2019

Preprint

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“…Data modelling [81] and algorithmic approaches [82] specify land-cover type and elevation as two principal determinants of triatomine movement at the scale applied in Loja. Analyses of triatomine genetic structure also suggest a strong influence of human transport (i.e., roads) on dispersal at this scale [83].…”

Section: Figure I (Box 2)mentioning

confidence: 99%

Prediction and Prevention of Parasitic Diseases Using a Landscape Genomics Framework

Schwabl

Llewellyn

Landguth

et al. 2017

Trends in Parasitology

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Summary Substantial heterogeneity exists in the dispersal, distribution and transmission of parasitic species. Understanding and predicting how such features are governed by the ecological variation of landscape they inhabit is the central goal of spatial epidemiology. Genetic data can further inform functional connectivity among parasite, host and vector populations in a landscape. Gene flow correlates with the spread of epidemiologically relevant phenotypes among parasite and vector populations (e.g., virulence, drug and pesticide resistance), as well as invasion and re-invasion risk where parasite transmission is absent due to current or past intervention measures. However, the formal integration of spatial and genetic data (‘landscape genetics’) is scarcely ever applied to parasites. Here, we discuss the specific challenges and practical prospects for the use of landscape genetics and genomics to understand the biology and control of parasitic disease and present a practical framework for doing so.

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“…En los últimos años ha aumentado el interés por los estudios de ecoepidemiología y epidemiología espacial, dada la facilidad que ofrecen los sistemas de información geográfica (SIG), el acceso a los datos provenientes de los sensores remotos (28)(29)(30)(31)(32)(33)(34)(35)(36) y el desarrollo de sistemas computacionales que permiten la aplicación de algoritmos complejos en un tiempo relativamente reducido mediante técnicas de modelado, discriminatorias, descriptivas y mixtas (37,38), y en diversas escalas espacio-temporales (39), lo cual ofrece una mejor perspectiva y una aproximación más realista a los factores de riesgo de la transmisión de enfermedades infecciosas (40).…”

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“…Biomédica. 2015;35 (Supl.4): [28][29][30]. Memorias, XVI Congreso Colombiano de Parasitología y Medicina Tropical).…”

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Spatio-temporal analysis of the biophysical and ecological conditions of Triatoma dimidiata (Hemiptera: Reduviidae: Triatominae) in the northeast region of Colombia

Badel-Mogollón¹,

Rodríguez-Figueroa²,

Parra-Henao

2017

biomedica

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Introducción. Ante el desconocimiento del contexto espacio-temporal de las condiciones biofísicas (hidrometereológicas y de densidad de la cobertura vegetal) de las zonas con presencia deTriatoma dimidiata en Santander y Boyacá, es necesario dilucidar los patrones asociados con estas variables para determinar su distribución y control.Objetivo. Hacer el análisis espacio-temporal de las variables biofísicas relacionadas con la distribución de Triatoma dimidiata de los departamentos de Santander y Boyacá en la región nororiental de Colombia.Materiales y métodos. Se utilizaron las bases de datos de los registros de presencia deT. dimidiata y de factores hidrometereológicos del Special Report on Emissions Scenarios (SRES) del Intergovernmental Panel on Climate Change, IPCC. Se estudiaron las variables de temperatura, humedad relativa, pluviosidad y densidad de la cobertura vegetal a nivel regional y local, se hizo el análisis espacial y el geoestadístico, así como el análisis estadístico descriptivo y temporal de las series de Fourier.Resultados. En las áreas con mayor presencia de T. dimidiata, las temperaturas a dos metros del suelo y en suelo cubierto oscilaron entre 14,5 y 18,8 °C, y la temperatura ambiente fue de 30 a 32 °C. La densidad de la cobertura vegetal y la pluviosidad en las áreas de mayor presencia de T. dimidiata exhibieron patrones de picos anuales y bienales. Los valores de la humedad relativa fluctuaron entre 66,8 y 85,1 %.Conclusiones. Las temperaturas a nivel de superficie y a dos metros del suelo fueron las variables determinantes de la distribución espacio-temporal de T. dimidiata. La elevada humedad relativa incentivó la búsqueda de refugios e incrementó la distribución geográfica en los picos anual y bienal de pluviosidad a nivel regional. Las condiciones ecológicas y antrópicas sugieren que T. dimidiata es una especie de gran resiliencia.

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Modeling the spatial distribution of Chagas disease vectors using environmental variables and people´s knowledge

Cited by 16 publications

References 34 publications

Modelling geospatial distributions of the triatomine vectors of Trypanosoma cruzi in Latin America

Modelling geospatial distributions of the triatomine vectors of Trypanosoma cruzi in Latin America

Prediction and Prevention of Parasitic Diseases Using a Landscape Genomics Framework

Spatio-temporal analysis of the biophysical and ecological conditions of Triatoma dimidiata (Hemiptera: Reduviidae: Triatominae) in the northeast region of Colombia

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