Modelling the spatial distribution of Fasciola hepatica in bovines using decision tree, logistic regression and GIS query approaches for Brazil.

dc.creatorBennema, Sita Caroline
dc.creatorMolento, Marcelo Beltrao
dc.creatorScholte, Ronaldo Guilherme Carvalho
dc.creatorCarvalho, Omar Santos
dc.creatorPritsch, Izanara Cristine
dc.date2018-07-19T17:34:23Z
dc.date2018-07-19T17:34:23Z
dc.date2017
dc.date.accessioned2023-09-26T21:57:54Z
dc.date.available2023-09-26T21:57:54Z
dc.identifierBENNEMA, Sita Caroline et al. Modelling the spatial distribution of Fasciola hepatica in bovines using decision tree, logistic regression and GIS query approaches for Brazil. Parasitology, v. 144, p. 1677–1685, 2017.
dc.identifier0031-1820
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/27602
dc.identifier10.1017/S0031182017000786
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8874198
dc.descriptionFascioliasis is a condition caused by the trematode Fasciola hepatica. In this paper, the spatial distribution of F. hepatica in bovines in Brazil was modelled using a decision tree approach and a logistic regression, combined with a geographic information system (GIS) query. In the decision tree and the logistic model, isothermality had the strongest influence on disease prevalence. Also, the 50-year average precipitation in the warmest quarter of the year was included as a risk factor, having a negative influence on the parasite prevalence. The risk maps developed using both techniques, showed a predicted higher prevalence mainly in the South of Brazil. The prediction performance seemed to be high, but both techniques failed to reach a high accuracy in predicting the medium and high prevalence classes to the entire country. The GIS query map, based on the range of isothermality, minimum temperature of coldest month, precipitation of warmest quarter of the year, altitude and the average dailyland surface temperature, showed a possibility of presence of F. hepatica in a very large area. The risk maps produced using these methods can be used to focus activities of animal and public health programmes, even on non-evaluated F. hepatica areas.
dc.description2025-01-01
dc.formatapplication/pdf
dc.languageeng
dc.publisherCambridge University Press
dc.rightsrestricted access
dc.subjectFerida do fígado
dc.subjectruminantes
dc.subject14/5000 mapa de previsão
dc.subjectdiagnostico geoespacial
dc.subjectLiver fluke
dc.subjectruminants
dc.subjectprediction map
dc.subjectgeospatial diagnostic
dc.titleModelling the spatial distribution of Fasciola hepatica in bovines using decision tree, logistic regression and GIS query approaches for Brazil.
dc.typeArticle


Este ítem pertenece a la siguiente institución