Epidemiological aspects of cutaneous leishmaniasis in Ilam province, west of Iran (2000–2007)

Kassiri, Hamid; Sharifinia, Narges; Mostafa, Jalilian; Shemshad, Khadijeh

doi:10.1016/s2222-1808(12)60186-8

Cited by 29 publications

(21 citation statements)

References 8 publications

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“…This was in accordance with other previously-reported studies (Kassiri et al 2012;Nazari et al 2012). According to the present study, hand ulcers were the highest prevalent part of body (43.24 %).…”

Section: Discussionsupporting

confidence: 94%

Epidemiologic profile of oriental sore caused by Leishmania parasites in a new endemic focus of cutaneous leishmaniasis, southern Iran

et al. 2014

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Cutaneous leishmaniasis (CL) is the first and most important vector-borne zoonotic disease transmitted by sand flies in Iran. As a parasitic disease in the Old World, it is a complex zoonosis with multiple vertebrate hosts and arthropod vectors of pathogenic flagellate protozoan in the genus of Leishmania in different parts of its range. Phlebotomine sand flies are proven as vectors of this parasite which can be transmitted through the bite of an infected female sand fly distributed in almost all parts of Iran. This research performed on all CL patients as that were registered into special forms by physicians and experts during the study period 2006-2013 in the county town of Fasa, Iran. Data were analyzed by Chi square test using SPSS 17 statistics software. Overall, 1,908 patients (59.18 %) lived in rural and 1,316 (40.82 %) lived in urban areas. All ages were between 1 and C30 year. The most frequent age group was C20 years (54.6 %). Sex ratio of patients was almost 1:1 (1,561; 48.42 % male vs. 1,663; 51.58 % female). Most of them (66.84 %) had wet lesions and those with dry lesions were less frequent (33.16 %).There was a significant difference between the frequencies of these two groups (P \ 0.05). Hand ulcers were the most prevalent part of body (43.24 %). The highest prevalence rate (35.14 %) of lesions occurred in autumn. The unstable trend of this disease in different years and its relatively high disease burden affecting all age groups in Fasa with respect to other counties in Iran showed that it was most likely an endemic disease in this region.

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Section: Discussionsupporting

confidence: 94%

Epidemiologic profile of oriental sore caused by Leishmania parasites in a new endemic focus of cutaneous leishmaniasis, southern Iran

et al. 2014

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“…The distance from the center of country, the great number of diverse rural areas, and lack of specialists and laboratory facilities have been the major causes of Leishmania species remaining unknown in this region. Kassiri et al (2012Kassiri et al ( ) during 2000Kassiri et al ( -2007 was evaluated the epidemiological aspects of coutaneous leishmaniasis, this study indicated that incidence of CL was increased during recent years. In the study conducted by Tashakori and associate to characterization of Leishmania isolate in some endemic regions of Iran, Nine samples was picked up from Dehloran city, south of Ilam province and all of them was diagnosed as a L. major (2003).…”

Section: Discussionmentioning

confidence: 97%

“…This hypothesis was proved by the results of present study. Domination of L. major in this region is maybe to a weather and climate condition and the great number of wild rodent (gerbils) in dried and semi-dried areas (kassiri et al 2012;Yazdanpanah and Rostamianpur 2013). Also recent activities for oil and gas exploration and making changes in rodent housing may have played a role in the increase of prevalence of disease and should be regarded.…”

Section: Discussionmentioning

confidence: 99%

“…Ilam province with 20.133 Km 2 located in the west of Iran and according to 2010 census, the population has been 566,332. Ilam is a CL endemic foci with more than 1500 reported cases annually (kassiri et al 2012;Yazdanpanah and Rostamianpur 2013). In north parts of province which is mountainous region, it has a cold climate and in the west and south which is desert lands and borders with Khuzestan province and Iraq, the weather is hot.…”

Section: Introductionmentioning

confidence: 99%

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Isolation and identification of cutaneous leishmaniasis species by PCR–RFLP in Ilam province, the west of Iran

et al. 2016

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Cutaneous leishmaniasis (CL) is one of the most common parasitic diseases and public health problems in Iran. CL is endemic in most parts of Ilam province, in the west of Iran. The distance from the center of country, the great number of divers rural areas, and lack of specialists and laboratory facilities have been the major causes of Leishmania species remaining unknown in this region. Polymerase chain reaction followed by restriction fragment length polymorphism was performed to identify the Leishmania species in 61 patients with cutaneous lesions. Eventually L. major was confirmed as the cause of cutaneous leishmaniasis in Ilam province, the west of Iran.

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“…Ilam province with the center of Ilam city is one of the 31 provinces of Iran and is located in the west of Iran, bordered by Iraq and cover an area of 19086 square kilometres (Kassiri, 2012). This province has eight counties including Ilam, Mehran, Dehloran, Darreh Shahr, Srableh, Eiven, Abdanan and Arkwaz.…”

Section: Study Area and Data Collectionmentioning

confidence: 99%

Risk Mapping of Cutaneous Leishmaniasis via a Fuzzy C Means-based Neuro-Fuzzy Inference System

Akhavan

Karimi

Pahlavani

2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Finding pathogenic factors and how they are spread in the environment has become a global demand, recently. Cutaneous Leishmaniasis (CL) created by Leishmania is a special parasitic disease which can be passed on to human through phlebotomus of vector-born. Studies show that economic situation, cultural issues, as well as environmental and ecological conditions can affect the prevalence of this disease. In this study, Data Mining is utilized in order to predict CL prevalence rate and obtain a risk map. This case is based on effective environmental parameters on CL and a Neuro-Fuzzy system was also used. Learning capacity of NeuroFuzzy systems in neural network on one hand and reasoning power of fuzzy systems on the other, make it very efficient to use. In this research, in order to predict CL prevalence rate, an adaptive Neuro-fuzzy inference system with fuzzy inference structure of fuzzy C Means clustering was applied to determine the initial membership functions. Regarding to high incidence of CL in Ilam province, counties of Ilam, Mehran, and Dehloran have been examined and evaluated. The CL prevalence rate was predicted in 2012 by providing effective environmental map and topography properties including temperature, moisture, annual, rainfall, vegetation and elevation. Results indicate that the model precision with fuzzy C Means clustering structure rises acceptable RMSE values of both training and checking data and support our analyses. Using the proposed data mining technology, the pattern of disease spatial distribution and vulnerable areas become identifiable and the map can be used by experts and decision makers of public health as a useful tool in management and optimal decision-making.

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Epidemiological aspects of cutaneous leishmaniasis in Ilam province, west of Iran (2000–2007)

Cited by 29 publications

References 8 publications

Epidemiologic profile of oriental sore caused by Leishmania parasites in a new endemic focus of cutaneous leishmaniasis, southern Iran

Epidemiologic profile of oriental sore caused by Leishmania parasites in a new endemic focus of cutaneous leishmaniasis, southern Iran

Isolation and identification of cutaneous leishmaniasis species by PCR–RFLP in Ilam province, the west of Iran

Risk Mapping of Cutaneous Leishmaniasis via a Fuzzy C Means-based Neuro-Fuzzy Inference System

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