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The social and physical environment of southern Caucasus has been mainly characterized by the presence of several factors that are strongly associated with <jats:styled-content style=\"fixed-case\">VL<\/jats:styled-content>, which has caused a significant number of infections during the past decade. Three popular spatial modelling techniques, consisting of the weights of evidence, logistic regression and fuzzy logic methods, were evaluated and trained using a study area in north\u2010western Iran where an inventory of highly infected areas and high\u2010quality evidential factors was available. Model performance was assessed using the receiver\u2010operating characteristic (<jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content>) approach. According to the results of these assessments, the fuzzy logic method with \u03b3\u00a0=\u00a00.5 was chosen for the prediction of <jats:styled-content style=\"fixed-case\">VL<\/jats:styled-content> incidence in southern Caucasus. The susceptibility map generated using the fuzzy logic method indicated that <jats:styled-content style=\"fixed-case\">VL<\/jats:styled-content> followed a spatial pattern at the conjunction of the three countries, which suggests that the prevalence of <jats:styled-content style=\"fixed-case\">VL<\/jats:styled-content> in southern Caucasus is socio\u2010ecologically dependent.<\/jats:p>","DOI":"10.1111\/zph.12325","type":"journal-article","created":{"date-parts":[[2016,12,27]],"date-time":"2016-12-27T14:40:52Z","timestamp":1482849652000},"source":"Crossref","is-referenced-by-count":4,"title":["Identification of Visceral Leishmaniasis\u2010Susceptible Areas using Spatial Modelling in Southern Caucasus"],"prefix":"10.1111","volume":"64","author":[{"given":"M.","family":"Rajabi","sequence":"first","affiliation":[{"name":"GIS Center Department of Physical Geography and Ecosystem Science Lund University Lund Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.","family":"Pilesj\u00f6","sequence":"additional","affiliation":[{"name":"GIS Center Department of Physical Geography and Ecosystem Science Lund University Lund Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Bazmani","sequence":"additional","affiliation":[{"name":"Infectious and Tropical Diseases Research Centre Tabriz University of Medical Sciences Tabriz Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Mansourian","sequence":"additional","affiliation":[{"name":"GIS Center Department of Physical Geography and Ecosystem Science Lund University Lund Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2016,12,27]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11053-011-9138-0"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1021193827501"},{"key":"e_1_2_9_4_1","first-page":"13","article-title":"Weights of evidence modeling and weighted logistic regression for mineral potential mapping","volume":"25","author":"Agterberg F.","year":"1993","journal-title":"Comp. 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