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

被引：10

作者：

Iliopoulou, Polixeni ^{[1
]}

Tsatsaris, Andreas ^{[1
]}

Katsios, Ioannis ^{[1
]}

Panagiotopoulou, Amalia ^{[1
]}

Romaliades, Stelios ^{[1
]}

Papadopoulos, Byron ^{[2
]}

Tselentis, Yannis ^{[2
]}

机构：

[1] Univ West Attica, Dept Surveying & Geoinformat Engn, Sch Engn, Univ Campus 1, Athens 12243, Greece

[2] Univ Crete, Sch Med, Iraklion 71003, Greece

来源：

TROPICAL MEDICINE AND INFECTIOUS DISEASE | 2018年 / 3卷 / 03期

关键词：

visceral leishmaniasis; Greece; geographic information systems; spatial regression;

D O I：

10.3390/tropicalmed3030083

中图分类号：

R51 [传染病];

学科分类号：

100401 ;

摘要：

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.

引用

页数：12

共 21 条

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