Role of environmental, climatic risk factors and livestock animals on the occurrence of cutaneous leishmaniasis in newly emerging focus in Iran. Issue 3 (May 2018)

• Record Type: Journal Article
• Authors: Ghatee, Mohammad A.; Haghdoost, Ali A.; Kooreshnia, Fatemeh; Kanannejad, Zahra; Parisaie, Zafar; Karamian, Mehdi; Moshfe, Abdolali
• Is Part Of: Journal of infection and public health. Volume 11:Issue 3(2018)
• Page Start: 425
• Page End: 433
• Publication Date: 2018-05
• Subjects: CL cutaneous leishmaniasis -- K–B Kohgiluye and Boyerahmad province -- GIS geospatial information systems -- RS remote sensing -- ACL anthroponotic cutaneous leishmaniasis -- ZCL zoonotic cutaneous leishmaniasis -- MAR mean annual rainfall -- MAT mean annual temperature -- MaxMAT maximum annual temperature -- MinMAT minimum annual temperature -- DEM digital elevation model; Cutaneous leishmaniasis -- GIS -- Land cover -- Slope -- Elevation; Communicable diseases -- Periodicals; Public health -- Periodicals; Epidemiology -- Periodicals; Nosocomial infections -- Prevention -- Periodicals; Medical microbiology -- Periodicals; 614.4
• DOI: 10.1016/j.jiph.2017.12.004
• Languages: English
• ISSNs: 1876-0341

Abstract

Abstract: Introduction: Occurrence of leishmaniasis is affected by various biological and environmental factors. Kohgiluye and Boyerahmad (K–B) province is an emerging focus of cutaneous leishmaniasis (CL) in Southwest Iran. Subjects and methods: To elucidate some angles of occurrence of CL in this province, climatic and environmental factors and close proximity to livestock were studied by univariate and two multivariate logistic regression models. The dwelling addresses of 275 CL patients were obtained from Health Centers records for a 5 years period. The effect of mean annual temperature, minimum mean annual temperature, maximum mean annual temperature, mean annual rainfall, slope, elevation, land covers and close proximity to cattle and sheep/goat sheds on the occurrence of CL were analysed using geographical information systems (GIS) approach. Results: CL occurred in all counties with the most cases in Northwest, West and South semi-arid and warm regions. Land cover, slope, elevation and close proximity to cattle sheds, were the most effective factors. Urban, dry farm and thin rangeland were found as the most important land covers. Slope and elevation decreased the probability of disease. Close proximity to cattle sheds notably increased the chance of CL. The importance of other factors such as rainfall, temperature and close proximity to sheep/goat sheds only were shown when their effects were evaluated independently from other factors. So regions with urban, dry farm and thin rangeland covers with lower slope and altitude where in close proximity of cattle sheds seems to be potentially most high risk areas. Conclusion: Distribution of CL cases is influenced by combination of environmental, ecological factors and close proximity to livestock sheds but control programs should be focused on cities and villages in the above-mentioned most high risk regions.