Use of remote sensing and geographical information systems to identify environmental features that influence the distribution of paramphistomosis in sheep from the southern Italian Apennines

A geographic information system (GIS) was constructed using remote sensing (RS) and landscape feature data together with Calicophoron daubneyi positive survey records from 197 georeferenced ovine farms with animals pasturing in a 3971 km 2 area of the southern Italian Apennines. The objective was to...

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Veröffentlicht in:	Veterinary parasitology 2004-06, Vol.122 (1), p.15-26
Hauptverfasser:	Cringoli, G, Taddei, R, Rinaldi, L, Veneziano, V, Musella, V, Cascone, C, Sibilio, G, Malone, J.B
Format:	Artikel
Sprache:	eng
Schlagworte:	Animals Calicophoron daubneyi Discriminant Analysis disease prevalence Environment environmental factors epidemiological studies Epidemiology fecal egg count Feces - parasitology flukes Geographic Information Systems geographical distribution Geographical information systems Italy - epidemiology land land cover Models, Biological normalized difference vegetation index (NDVI) Paramphistomatidae - growth & development Paramphistomidae Parasite Egg Count - veterinary Remote sensing risk assessment risk factors risk models rivers Sheep Sheep Diseases - epidemiology Sheep Diseases - parasitology Sheep-trematoda topography trematode infections Trematode Infections - epidemiology Trematode Infections - parasitology Trematode Infections - veterinary vegetation cover
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