Repository of Research and Investigative Information

Repository of Research and Investigative Information

Hormozgan University of Medical Sciences

Cutaneous leishmaniasis prevalence and morbidity based on environmental factors in Ilam, Iran: Spatial analysis and land use regression models

(2016) Cutaneous leishmaniasis prevalence and morbidity based on environmental factors in Ilam, Iran: Spatial analysis and land use regression models. Acta Tropica.

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The aim of this study was to investigate the impact of the environmental factors on cutaneous leishmaniasis (CL) prevalence and morbidity in Ilam province, western Iran, as a known endemic area for this disease. Accurate locations of 3237 CL patients diagnosed from 2013 to 2015, their demographic information, and data of 17 potentially predictive environmental variables (PPEVs) were prepared to be used in Geographic Information System (GIS) and Land-Use Regression (LUR) analysis. The prevalence, risk, and predictive risk maps were provided using Inverse Distance Weighting (IDW) model in GIS software. Regression analysis was used to determine how environmental variables affect on CL prevalence. All maps and regression models were developed based on the annual and three-year average of the CL prevalence. The results showed that there was statistically significant relationship (P value ≤ 0.05) between CL prevalence and 11 (64) PPEVs which were elevation, population, rainfall, temperature, urban land use, poorland, dry farming, inceptisol and aridisol soils, and forest and irrigated lands. The highest probability of the CL prevalence was predicted in the west of the study area and frontier with Iraq. An inverse relationship was found between CL prevalence and environmental factors, including elevation, covering soil, rainfall, agricultural irrigation, and elevation while this relation was positive for temperature, urban land use, and population density. Environmental factors were found to be an important predictive variables for CL prevalence and should be considered in management strategies for CL control. © 2016 Elsevier B.V.

Item Type: Article
Additional Information: cited By 1
Keywords: rain; soil, disease control; disease prevalence; endemism; environmental factor; GIS; land use change; leishmaniasis; morbidity; regression analysis; spatial analysis, aridisol soil; Article; computer program; demography; dry farming; endemic disease; environmental factor; environmental impact assessment; environmental temperature; forest; geographic distribution; geographic elevation; geographic information system; human; inceptisol soil; infection risk; Iran; irrigation (agriculture); land use; major clinical study; morbidity; poorland; population density; prediction; prevalence; probability; regression analysis; skin leishmaniasis; soil; spatial analysis; statistical model; urban area; agriculture; altitude; city; environment; Iraq; Leishmaniasis, Cutaneous; Poisson distribution; prevalence; risk factor; statistics and numerical data; temperature, Ilam; Iran, Agriculture; Altitude; Cities; Environment; Forests; Geographic Information Systems; Humans; Iran; Iraq; Leishmaniasis, Cutaneous; Poisson Distribution; Prevalence; Rain; Regression Analysis; Risk Factors; Soil; Spatial Analysis; Temperature
Subjects: QW Microbiology and Immunology > QW 501-949 Immunology
QX Parasitology > QX 1-45 Parasitology
Depositing User: هدی فهیم پور

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