Application of a geographical information system approach for risk analysis of fascioliasis in southern Espírito Santo state, Brazil

  • Isabella Vilhena Freire Martins | isabella@cca.ufes.br Department of Veterinary Medicine, Universidade Federal Espírito Santo, Alto Universitário s/n, Alegre, Brazil.
  • Barbara Rauta de Avelar Course of Veterinary Medicine, Centro de Ciências Agrárias, Universidade Federal Espírito Santo, Seropedica, Brazil.
  • Maria Julia Salim Pereira Department of Animal Parasitology, Veterinary Institute, Universidade Federal Rural do Rio de Janeiro, Seropedica, Brazil.
  • Adevair Henrique da Fonseca Department of Animal Parasitology, Veterinary Institute, Universidade Federal Rural do Rio de Janeiro, Seropedica, Brazil.

Abstract

A model based on geographical information systems for mapping the risk of fascioliasis was developed for the southern part of Espírito Santo state, Brazil. The determinants investigated were precipitation, temperature, elevation, slope, soil type and land use. Weightings and grades were assigned to determinants and their categories according to their relevance with respect to fascioliasis. Theme maps depicting the spatial distribution of risk areas indicate that over 50% of southern Espírito Santo is either at high or at very high risk for fascioliasis. These areas were found to be characterized by comparatively high temperature but relatively low slope, low precipitation and low elevation corresponding to periodically flooded grasslands or soils that promote water retention.

Downloads

Download data is not yet available.
Published
2012-09-01
Section
Original Articles
Keywords:
Fasciola hepatica, fascioliasis, epidemiology, geographical information system, Brazil.
Statistics
Abstract views: 843

PDF: 439
Share it

PlumX Metrics

PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

How to Cite
Freire Martins, I. V., Rauta de Avelar, B., Salim Pereira, M. J., & da Fonseca, A. H. (2012). Application of a geographical information system approach for risk analysis of fascioliasis in southern Espírito Santo state, Brazil. Geospatial Health, 6(3), S87-S93. https://doi.org/10.4081/gh.2012.126