Volume 8, Issue 3 (Jul- Sep 2019)                   JCHR 2019, 8(3): 156-163 | Back to browse issues page


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Dehghani A, Lotfi M H, Falahzadeh H, Vahdat K, Shabani Z. Epidemiological Study and Spatial Modeling of Cutaneous Leishmaniasis in Bushehr Province using the Geographic Information System (GIS) during 2011-2015. JCHR 2019; 8 (3) :156-163
URL: http://jhr.ssu.ac.ir/article-1-452-en.html
1- Department of Statistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences and Health Services, Yazd, Iran
2- Department of Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
3- Research Center of Prevention and Epidemiology of Non-Communicable Disease, Departments of Biostatistics and Epidemiology, School of Pablic Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
4- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Research Institute, Bushehr
5- Department of Statistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences and Health Services, Yazd, Iran , shabani1014@gmail.com
Abstract:   (5078 Views)

Introduction: It is generally accepted that cutaneous leishmaniasis is an important health problem in the world which is caused by leishmaniasis protozoan. This disease is also considered as a health problem in some regions of Iran including Bushehr province. The present study investigated the geographical dispersion and epidemiological characteristics of subjects with the cutaneous leishmaniasis in this province during 2011-2015.

Methods: In this cross-sectional and analytical study, the epidemiologic data including the age, gender, residential area, and counties with this disease was analyzed and collected from 663 patients who were followed up and treated during 2011 to 2015.

Results: 422 (63.7%) of studied people were residents of urban areas and 241 (36.3%) lived in rural areas. 59.4% (394 people) were male and 40.6% (269) were female. The mean age of subjects was 21.91± 17.01 (ranging from 1 to 80 years). Kangan County with an average 5-year incidence of 17.72 per a hundred thousand people had the highest incidence, but Tangestan County with the incidence of 8.47 per a hundred thousand people had the lowest average incidence. Based on GIS results, Jam County, which was not recognized as the focus of this disease in the past, has been considered as a new focus of disease in recent years.

Conclusion: The geographic information system (GIS) is an effective tool for the organization of diseases and health data. The crisis can be identified and controlled by taking proper measures with the discovery of spatial accumulation of diseases.

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Review: Research | Subject: Epidemiology
Received: 2018/07/1 | Accepted: 2019/01/30 | Published: 2019/10/2

References
1. Bustos MFG, González-Prieto G, Ramos F, et al. Clinical and epidemiological features of leishmaniasis in northwestern-Argentina through a retrospective analysis of recent cases. Acta tropica. 2016;154:125-32. [DOI:10.1016/j.actatropica.2015.11.008]
2. Jayrvnd AA, Vaziri F. Epidemiology of cutaneous leishmaniasis in the city of Hawizeh in 2014-2015. Journal of Health in the Field. 2017;4(3).
3. Farahmand M, Nahrevanian H, Shirazi HA, et al. An overview of a diagnostic and epidemiologic reappraisal of cutaneous leishmaniasis in Iran. Brazilian Journal of Infectious Diseases. 2011;15(1):17-21. [DOI:10.1016/S1413-8670(11)70134-9]
4. Nazari M. Cutaneous leishmaniasis in Hamadan, Iran (2004-2010). Zahedan Journal of Research in Medical Sciences. 2012;13(9):39-42. [DOI:10.1016/j.ijid.2012.05.442]
5. leishmaniasis updated April 2017. Available from: www.who.int/mediacentre/factsheets/fs375/en/.
6. Khajedaluee M, Yazdanpanah MJ, SeyedNozadi S, et al. Epidemiology of cutaneous leishmaniasis in population covered by Mashhad university of medical sciences in 2011. medical journal of mashhad university of medical sciences. 2014;57(4):647-54.
7. Nezhad HA, Mirzaie M, Sharifi I, et al. The prevalence of cutaneous leishmaniasis in school children in southwestern Iran, 2009. Comparative Clinical Pathology. 2012;21(5):1065-9. [DOI:10.1007/s00580-011-1230-7]
8. Carnaúba Jr D, Konishi CT, Petri V, et alL. Atypical disseminated leishmaniasis similar to post-kala-azar dermal leishmaniasis in a Brazilian AIDS patient infected with Leishmania (Leishmania) infantum chagasi: a case report. International Journal of Infectious Diseases. 2009;13(6):e504-e7. [DOI:10.1016/j.ijid.2009.01.022]
9. González U, Pinart M, Reveiz L, et al. Interventions for Old World cutaneous leishmaniasis. Cochrane Database Syst Rev. 2008;4(issue):CD005067. [DOI:10.1002/14651858.CD005067.pub3]
10. Darvishi M, Jafari R, Darabi H,et al. Survey of Rodents Fauna Regarding to their Probabilistic Contamination to Leishmania (2013-2014). ISMJ. 2017;20(4):362-9.
11. Mohammadi Azni S, Nokandeh Z, Khorsandi A, et al. Epidemiology of cutaneous leishmaniasis in Damghan district. Journal Mil Med. 2010;12(3):131-5.
12. Alvar J, Velez ID, Bern C, et al. Leishmaniasis worldwide and global estimates of its incidence. PloS one. 2012;7(5):e35671. [DOI:10.1371/journal.pone.0035671]
13. Saatchi M, Salehinia H, Khazaei S, et al. Cutaneous leishmaniasis in Iran: Demographic description and therapeutic outcomes. Journal of Dermatology and Cosmetic. 2015;6(2):108-18.
14. Driedger SM, Kothari A, Morrison J, et al. Correction: Using participatory design to develop (public) health decision support systems through GIS. International Journal of Health Geographics. 2007;6(1):53. [DOI:10.1186/1476-072X-6-53]
15. Scotch M, Parmanto B, Gadd CS, et al. Exploring the role of GIS during community health assessment problem solving: experiences of public health professionals. International Journal of Health Geographics. 2006;5(1):39. [DOI:10.1186/1476-072X-5-39]
16. Haghdoost A, Kawaguchi L, Mirzazadeh A, et al. Using GIS in explaining spatial distribution of brucellosis in an endemic district in Iran. Iranian Journal of Public Health. 2007;36(1):27-34.
17. Lotfi M, Noori S, Firouze A, et al. Epidemiological study an outbreak of cutaneous leishmaniasis in five endemic foci, Yazd province, March 2015-March 2016. Journal of Community Health Research. 2017;6(2):77-84.
18. Nazari M, Nazari S, Hanafi-Bojd AA, et al. Situation analysis of cutaneous leishmaniasis in an endemic area, south of Iran. Asian Pacific journal of tropical medicine. 2017;10(1):92-7. [DOI:10.1016/j.apjtm.2016.12.001]
19. Khademvatan S, Salmanzadeh S, Foroutan-Rad M, et al. Spatial distribution and epidemiological features of cutaneous leishmaniasis in southwest of Iran. Alexandria Journal of Medicine. 2017;53(1):93-8. [DOI:10.1016/j.ajme.2016.03.001]
20. Maia-Elkhoury ANS, Yadon ZE, Díaz MIS, et al. Exploring Spatial and Temporal Distribution of Cutaneous Leishmaniasis in the Americas, 2001-2011. PLoS neglected tropical diseases. 2016;10(11):e0005086. [DOI:10.1371/journal.pntd.0005086]
21. Chaves LF, Calzada JE, Valderrama A, et al. Cutaneous leishmaniasis and sand fly fluctuations are associated with El Niño in Panamá. PLoS neglected tropical diseases. 2014;8(10):e3210. [DOI:10.1371/journal.pntd.0003210]
22. Barati H, Barati M, Lotfi MH. Epidemiological study of cutaneous leishmaniasis in Khatam, Yazd province, 2004-2013. Paramedical Sciences and Military Health. 2015;10(2):1-5.
23. Caminade C, Kovats S, Rocklov J, et al. Impact of climate change on global malaria distribution. Proceedings of the National Academy of Sciences. 2014;111(9):3286-91. [DOI:10.1073/pnas.1302089111]
24. Dujardin J-C, Campino L, Cañavate C, et al. Spread of vector-borne diseases and neglect of Leishmaniasis, Europe. Emerging infectious diseases. 2008;14(7):1013. [DOI:10.3201/eid1407.071589]
25. Dhimal M, Ahrens B, Kuch U. Climate change and spatiotemporal distributions of vector-borne diseases in Nepal-a systematic synthesis of literature. PLoS One. 2015;10(6):e0129869. [DOI:10.1371/journal.pone.0129869]
26. Siraj A, Santos-Vega M, Bouma M, et al. Altitudinal changes in malaria incidence in highlands of Ethiopia and Colombia. Science. 2014;343(6175):1154-8. [DOI:10.1126/science.1244325]
27. Rodríguez-Morales AJ. Ecoepidemiología y epidemiología satelital: nuevas herramientas en el manejo de problemas en salud pública. Revista peruana de medicina experimental y salud pública. 2005;22(1):54-63.

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