2011
DOI: 10.1016/j.vetpar.2011.01.010
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Geographical information systems as a tool in the control of heartworm infections in dogs and cats

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Cited by 11 publications
(7 citation statements)
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“…The results of a GIS analysis-based model performed for the prediction of the territorial distribution of dirofilariosis caused by D. immits in Italy was highly concordant with the real territorial distribution of positive dogs (Mortarino et al, 2008). Rinaldi et al (2011) proved that information derived from GIS-based descriptive maps provides a well-usable operational tool for planning, monitoring and managing control programmes for Dirofilaria infections. In this view our study confirms the importance of two factors that can be used as basic inputs in GIS-based models.…”
Section: Acta Veterinaria Hungarica 64 2016supporting
confidence: 52%
“…The results of a GIS analysis-based model performed for the prediction of the territorial distribution of dirofilariosis caused by D. immits in Italy was highly concordant with the real territorial distribution of positive dogs (Mortarino et al, 2008). Rinaldi et al (2011) proved that information derived from GIS-based descriptive maps provides a well-usable operational tool for planning, monitoring and managing control programmes for Dirofilaria infections. In this view our study confirms the importance of two factors that can be used as basic inputs in GIS-based models.…”
Section: Acta Veterinaria Hungarica 64 2016supporting
confidence: 52%
“…Geographic Information Systems (GIS) comprises tools for gathering, analyzing, and presenting spatial data, and remote sensing (RS) is a technique that allows the study of objects without direct contact via image capture. These systems have two important applications to health research: (i) disease mapping and (ii) the development of predictive models for disease transmission dynamics (356). Both of these applications are important as a basis for decision making regarding the control of parasitic diseases.…”
Section: Dirofilaria Spp In Vector Speciesmentioning
confidence: 99%
“…The integration of information obtained from numerous sources, such as geographic information systems (GIS), global positioning (GPS), remote sensing (RS) satellite systems, and epidemiological and climatic records, as well as the improvement of analysis software, has made achieving this objective possible [113]. With respect to dirofilariasis, the majority of the models published are based on the Growing Degree Days (GDD) concept, the accumulated heat needed to complete the extrinsic incubation of the Dirofilaria larvae in the life period of the vectors [114].…”
Section: Epidemiologymentioning
confidence: 99%