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Trop. Med. Infect. Dis. 2018, 3(3), 83; https://doi.org/10.3390/tropicalmed3030083

Risk Mapping of Visceral Leishmaniasis: A Spatial Regression Model for Attica Region, Greece

1
School of Engineering, Department of Surveying and Geoinformatics Engineering, University Campus I, The University of West Attica, Egaleo, Athens 12243, Greece
2
School of Medicine, The University of Crete, Iraklion 71003, Greece
*
Author to whom correspondence should be addressed.
Received: 27 June 2018 / Revised: 3 August 2018 / Accepted: 6 August 2018 / Published: 13 August 2018
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Abstract

Visceral Leishmaniasis (VL) is endemic to the Attica region of Greece. The geographical distribution of VL cases was analyzed employing methods of spatial analysis in a GIS environment. A geographic database was constructed including data for the disease cases and environmental factors, such as land cover types, stray dog population, and socioeconomic factors. Classic and spatial regression models are presented that suggest the factors contributing most to the incidence of leishmaniasis are green urban areas and the population of stray dogs in the municipalities of Attica region. The results of the spatial regression model were more accurate, thus were used to produce a disease risk map. This map indicates the high-risk municipalities in which surveillance for the control of leishmaniasis is necessary. View Full-Text
Keywords: visceral leishmaniasis; Greece; geographic information systems; spatial regression visceral leishmaniasis; Greece; geographic information systems; spatial regression
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Iliopoulou, P.; Tsatsaris, A.; Katsios, I.; Panagiotopoulou, A.; Romaliades, S.; Papadopoulos, B.; Tselentis, Y. Risk Mapping of Visceral Leishmaniasis: A Spatial Regression Model for Attica Region, Greece. Trop. Med. Infect. Dis. 2018, 3, 83.

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