Ecological niche modeling for the prediction of cutaneous leishmaniasis epidemiology in current and projected future in Adana, Turkey


ARTUN O.

JOURNAL OF VECTOR BORNE DISEASES, vol.56, no.2, pp.127-133, 2019 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 56 Issue: 2
  • Publication Date: 2019
  • Doi Number: 10.4103/0972-9062.263726
  • Journal Name: JOURNAL OF VECTOR BORNE DISEASES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.127-133
  • Keywords: Adana, cutaneous leishmaniasis, ecological niche modeling, MaxEnt, Turkey, GEOGRAPHICAL INFORMATION-SYSTEMS, PHLEBOTOMINE SAND FLIES, SPATIAL-DISTRIBUTION, IMAMOGLU PROVINCE
  • Çukurova University Affiliated: Yes

Abstract

Background & objectives: Cutaneous leishmaniasis (CL) is widespread in the tropical and subtropical regions of the world including, Tukey. Environmental determinants for the CL endemic areas in Turkey are relatively poorly understood. The aim of the present study was to develop a model based on ecological niche modeling (ENM) to predict the distribution of CL in endemic areas of Adana Province in Turkey.