title: Geographical Information Systems risk assessment models for zoonotic fascioliasis in the South American Andes region.
abstract: The WHO recognises Fasciola hepatica to be an important human health problem. The Andean countries of Peru, Bolivia and Chile are those most severely affected by this distomatosis, though areas of Ecuador, Colombia and Venezuela are also affected. As part of a multidisciplinary project, we present results of use of a Geographical Information Systems (GIS) forecast model to conduct an epidemiological analysis of human and animal fasciolosis in the central part of the Andes mountains. The GIS approach enabled us to develop a spatial and temporal epidemiological model to map the disease in the areas studied and to classify transmission risk into low, moderate and high risk areas so that areas requiring the implementation of control activities can be identified. Current results are available on a local scale for: (1) the northern Bolivian Altiplano, (2) Puno in the Peruvian Altiplano, (3) the Cajamarca and Mantaro Peruvian valleys, and (4) the Ecuadorian provinces of Azuay, Cotopaxi and Imbabura. Analysis of results demonstrated the validity of a forecast model that combines use of climatic data to calculate of forecast indices with remote sensing data, through the classification of Normalized Difference Vegetation Index (NDVI) maps.
authors.affiliation: Department de Parasitologia, Facultat de Farmàcia, Universitat de València, Burjassot, València, Spain. mario.v.fuentes@uv.es
authors.forename: M V
authors.initials: MV
authors.lastname: Fuentes
authors.forename: S
authors.initials: S
authors.lastname: Sainz-Elipe
authors.forename: P
authors.initials: P
authors.lastname: Nieto
authors.forename: J B
authors.initials: JB
authors.lastname: Malone
authors.forename: S
authors.initials: S
authors.lastname: Mas-Coma
mesh_terms: D000531:Altitude; D000818:Animals; D002980:Climate; D016000:Cluster Analysis; D004199:Disease Vectors; D019353:Endemic Diseases; D005210:Fasciola hepatica / Q000502:physiology; D005211:Fascioliasis / Q000453:epidemiology* / Q000517:prevention & control / Q000635:transmission / Q000662:veterinary; D005544:Forecasting; D040362:Geographic Information Systems; D006801:Humans; D006813:Humidity; D008962:Models, Theoretical; D010944:Plants; D018570:Risk Assessment; D012621:Seasons; D012908:Snails / Q000469:parasitology; D013020:South America / Q000453:epidemiology; D015047:Zoonoses