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Risk Mapping and Situational Analysis of Cutaneous Leishmaniasis in an Endemic Area of Central Iran: A GIS-Based Survey

INTRODUCTION: Cutaneous leishmaniasis (CL) is among the top 10 infectious disease priorities in the world, and the leading cause of morbidity in Iran. The present study was conducted to assess the risk of CL, and to determine some epidemiological features of the disease in endemic areas of Qom Provi...

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Autores principales: Abedi-Astaneh, Fatemeh, Hajjaran, Homa, Yaghoobi-Ershadi, Mohammad Reza, Hanafi-Bojd, Ahmad Ali, Mohebali, Mehdi, Shirzadi, Mohammad Reza, Rassi, Yavar, Akhavan, Amir Ahmad, Mahmoudi, Bagher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5004885/
https://www.ncbi.nlm.nih.gov/pubmed/27574805
http://dx.doi.org/10.1371/journal.pone.0161317
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author Abedi-Astaneh, Fatemeh
Hajjaran, Homa
Yaghoobi-Ershadi, Mohammad Reza
Hanafi-Bojd, Ahmad Ali
Mohebali, Mehdi
Shirzadi, Mohammad Reza
Rassi, Yavar
Akhavan, Amir Ahmad
Mahmoudi, Bagher
author_facet Abedi-Astaneh, Fatemeh
Hajjaran, Homa
Yaghoobi-Ershadi, Mohammad Reza
Hanafi-Bojd, Ahmad Ali
Mohebali, Mehdi
Shirzadi, Mohammad Reza
Rassi, Yavar
Akhavan, Amir Ahmad
Mahmoudi, Bagher
author_sort Abedi-Astaneh, Fatemeh
collection PubMed
description INTRODUCTION: Cutaneous leishmaniasis (CL) is among the top 10 infectious disease priorities in the world, and the leading cause of morbidity in Iran. The present study was conducted to assess the risk of CL, and to determine some epidemiological features of the disease in endemic areas of Qom Province in Central Iran during 2009 to 2013. METHODS: Data regarding human cases of the disease were obtained from the Qom Province Health Center, prepared and stored in a spatial database created in ArcGIS10.3. A total of 9 out of 212 Leishmania spp. positive slides taken in 2013 from patients residing in Qom city were examined using molecular methods and the species of Leishmania was identified by PCR-RFLP. Those 9 patients had no history of travel outside the city. Spatial analysis and clustering methods were applied to find major hot spots and susceptible areas for the establishment of novel foci of the disease. Transmission patterns were examined for spatial autocorrelation using the Moran's I statistical application, and for the clustering of high or low values using the Getis-Ord Gi* statistics. RESULTS: During the period of study, a total of 1767 CL cases were passively reported in the area, out of which were 65% males and 35% females. The highest and lowest numbers of cases were reported in 2010 and 2013, respectively. Importantly, 979 cases were reported from urban areas, while the remainder came from rural areas. Leishmania major was detected as the causative agent of CL in the city of Qom. Remarkably, most patients recorded in Qom city were associated with a history of travel to the endemic areas of CL within the province, or to other endemic areas of the disease in Iran. Spatial distribution of CL cases revealed northeastern and southwestern quarters of the city were the major hot spots of the disease (P<0.05). Hot spot and CL transmission risk analysis across the province indicated that more than 40 villages were located in high and very high risk areas of CL transmission. CONCLUSIONS: Due to the existence of hot spots (P<0.05) of CL in successive years in some quarters of Qom city, along with detection of L. major from the patients without a history of travel, there may be potential of local transmission of the disease within the city. Therefore, it is necessary to conduct a comprehensive study concerning the hot spots of CL in Qom city for curtailing the incidence of the disease in the city. The methodology and the results of this study is essential in serving as a yardstick for subsequent similar studies that will be carried out in other endemic areas of CL in Iran and providing an adequate tool for the establishment of a national database of cutaneous leishmaniasis.
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spelling pubmed-50048852016-09-12 Risk Mapping and Situational Analysis of Cutaneous Leishmaniasis in an Endemic Area of Central Iran: A GIS-Based Survey Abedi-Astaneh, Fatemeh Hajjaran, Homa Yaghoobi-Ershadi, Mohammad Reza Hanafi-Bojd, Ahmad Ali Mohebali, Mehdi Shirzadi, Mohammad Reza Rassi, Yavar Akhavan, Amir Ahmad Mahmoudi, Bagher PLoS One Research Article INTRODUCTION: Cutaneous leishmaniasis (CL) is among the top 10 infectious disease priorities in the world, and the leading cause of morbidity in Iran. The present study was conducted to assess the risk of CL, and to determine some epidemiological features of the disease in endemic areas of Qom Province in Central Iran during 2009 to 2013. METHODS: Data regarding human cases of the disease were obtained from the Qom Province Health Center, prepared and stored in a spatial database created in ArcGIS10.3. A total of 9 out of 212 Leishmania spp. positive slides taken in 2013 from patients residing in Qom city were examined using molecular methods and the species of Leishmania was identified by PCR-RFLP. Those 9 patients had no history of travel outside the city. Spatial analysis and clustering methods were applied to find major hot spots and susceptible areas for the establishment of novel foci of the disease. Transmission patterns were examined for spatial autocorrelation using the Moran's I statistical application, and for the clustering of high or low values using the Getis-Ord Gi* statistics. RESULTS: During the period of study, a total of 1767 CL cases were passively reported in the area, out of which were 65% males and 35% females. The highest and lowest numbers of cases were reported in 2010 and 2013, respectively. Importantly, 979 cases were reported from urban areas, while the remainder came from rural areas. Leishmania major was detected as the causative agent of CL in the city of Qom. Remarkably, most patients recorded in Qom city were associated with a history of travel to the endemic areas of CL within the province, or to other endemic areas of the disease in Iran. Spatial distribution of CL cases revealed northeastern and southwestern quarters of the city were the major hot spots of the disease (P<0.05). Hot spot and CL transmission risk analysis across the province indicated that more than 40 villages were located in high and very high risk areas of CL transmission. CONCLUSIONS: Due to the existence of hot spots (P<0.05) of CL in successive years in some quarters of Qom city, along with detection of L. major from the patients without a history of travel, there may be potential of local transmission of the disease within the city. Therefore, it is necessary to conduct a comprehensive study concerning the hot spots of CL in Qom city for curtailing the incidence of the disease in the city. The methodology and the results of this study is essential in serving as a yardstick for subsequent similar studies that will be carried out in other endemic areas of CL in Iran and providing an adequate tool for the establishment of a national database of cutaneous leishmaniasis. Public Library of Science 2016-08-30 /pmc/articles/PMC5004885/ /pubmed/27574805 http://dx.doi.org/10.1371/journal.pone.0161317 Text en © 2016 Abedi-Astaneh et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Abedi-Astaneh, Fatemeh
Hajjaran, Homa
Yaghoobi-Ershadi, Mohammad Reza
Hanafi-Bojd, Ahmad Ali
Mohebali, Mehdi
Shirzadi, Mohammad Reza
Rassi, Yavar
Akhavan, Amir Ahmad
Mahmoudi, Bagher
Risk Mapping and Situational Analysis of Cutaneous Leishmaniasis in an Endemic Area of Central Iran: A GIS-Based Survey
title Risk Mapping and Situational Analysis of Cutaneous Leishmaniasis in an Endemic Area of Central Iran: A GIS-Based Survey
title_full Risk Mapping and Situational Analysis of Cutaneous Leishmaniasis in an Endemic Area of Central Iran: A GIS-Based Survey
title_fullStr Risk Mapping and Situational Analysis of Cutaneous Leishmaniasis in an Endemic Area of Central Iran: A GIS-Based Survey
title_full_unstemmed Risk Mapping and Situational Analysis of Cutaneous Leishmaniasis in an Endemic Area of Central Iran: A GIS-Based Survey
title_short Risk Mapping and Situational Analysis of Cutaneous Leishmaniasis in an Endemic Area of Central Iran: A GIS-Based Survey
title_sort risk mapping and situational analysis of cutaneous leishmaniasis in an endemic area of central iran: a gis-based survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5004885/
https://www.ncbi.nlm.nih.gov/pubmed/27574805
http://dx.doi.org/10.1371/journal.pone.0161317
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