Int J Health Geogr - Modeling the spatial distribution of Chagas disease vectors using environmental variables and people?s knowledge.

Tópicos

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Resumo

CKGROUND: Chagas disease is caused by the protozoan Trypanosoma cruzi, which is transmitted to mammal hosts by triatomine insect vectors. The goal of this study was to model the spatial distribution of triatomine species in an endemic area.METHODS: Vector's locations were obtained with a rural householders' survey. This information was combined with environmental data obtained from remote sensors, land use maps and topographic SRTM data, using the machine learning algorithm Random Forests to model species distribution. We analysed the combination of variables on three scales: 10?km, 5?km and 2.5?km cell size grids.RESULTS: The best estimation, explaining 46.2% of the triatomines spatial distribution, was obtained for 5?km of spatial resolution. Presence probability distribution increases from central Chile towards the north, tending to cover the central-coastal region and avoiding areas of the Andes range.CONCLUSIONS: The methodology presented here was useful to model the distribution of triatomines in an endemic area; it is best explained using 5?km of spatial resolution, and their presence increases in the northern part of the study area. This study's methodology can be replicated in other countries with Chagas disease or other vectorial transmitted diseases, and be used to locate high risk areas and to optimize resource allocation, for prevention and control of vectorial diseases.

Resumo Limpo

ckground chaga diseas caus protozoan trypanosoma cruzi transmit mammal host triatomin insect vector goal studi model spatial distribut triatomin speci endem areamethod vector locat obtain rural household survey inform combin environment data obtain remot sensor land use map topograph srtm data use machin learn algorithm random forest model speci distribut analys combin variabl three scale km km km cell size gridsresult best estim explain triatomin spatial distribut obtain km spatial resolut presenc probabl distribut increas central chile toward north tend cover centralcoast region avoid area andes rangeconclus methodolog present use model distribut triatomin endem area best explain use km spatial resolut presenc increas northern part studi area studi methodolog can replic countri chaga diseas vectori transmit diseas use locat high risk area optim resourc alloc prevent control vectori diseas

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