Control of Cutaneous Leishmaniasis Using Geographic Information Systems From 2010 to 2014 in Khuzestan Province, Iran Publisher Pubmed



Ostad M¹ ; Shirian S^{2, 3, 4} ; Pishro F¹ ; Abbasi T^{4, 5} ; Ai A⁶ ; Azimi F¹ Show Affiliations
Source: PLoS ONE Published:2016

Abstract

Background: Cutaneous leishmanisis (CL) is found worldwide and is considered to be endemic in 88 countries such as Iran. Geographic information system (GIS) is a method that can create, archive, analyze traditional map and place data of the disease distribution. The aim of this study was to produce distributional maps of CL over five years and evaluate the role of GIS in control of CL in Khuzestan province where an endemic area of CL in Iran is. Methods: CL epidemiological data on the District and village levels for the period 2010-2013 were provided as census by health surveillance system in all counties and in control diseases center (CDC) of Khuzestan province. After collection of CL data, the collected data of CL from 2010 to 2013 were analyzed using GIS. The collected data of CL from 2010 to 2013 was analyzed using GIS. The endemic areas of CL during 2010-2013 were recognized using GIS maps and the control programs of CL were done in these regions based on epidemiological situation and the stratification of risk areas. Results: During the study period, there were 4672 recorded cases of clinical cases of CL by Khuzestan Health Center. Data of GIS referring to CL patients showed that center and eastern districts of Khuzestan had a significant number of cases. In 2014 that control program was done, ten distinct of Khuzestan Province didn't show any cases of the disease. Conclusion: In conclusion, analyses of data distributed in the geographic spaces are increasingly appreciated in leishmaniasis control management. GIS tools promoted greater efficiency in making decisions and planning activities in the control of vector born disease such as leishmaniasis. © 2016 Ostad et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.