2017
DOI: 10.1016/j.sste.2017.03.003
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Environmental risk factors for the incidence of cutaneous leishmaniasis in an endemic area of Iran: A GIS-based approach

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Cited by 35 publications
(23 citation statements)
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“…Ghatee et al in a study on role of environmental and climatic risk factors on the occurrence of cutaneous leishmaniasis, found that some environmental and climatic factors including land cover, slope, elevation, close proximity to cattle sheds, rainfall, and temperature were the most effective factors (21). In addition, the Iranian medical entomologists also have studied on impact of environmental and climate factors on spatial distribution of CL using remote sensing (22,23). Following the launch of the first meteorological satellites in the 1960s, and Landsat-1 in 1972, the use of remote sensing in human health studies have increased for more than four decades.…”
Section: Introductionmentioning
confidence: 99%
“…Ghatee et al in a study on role of environmental and climatic risk factors on the occurrence of cutaneous leishmaniasis, found that some environmental and climatic factors including land cover, slope, elevation, close proximity to cattle sheds, rainfall, and temperature were the most effective factors (21). In addition, the Iranian medical entomologists also have studied on impact of environmental and climate factors on spatial distribution of CL using remote sensing (22,23). Following the launch of the first meteorological satellites in the 1960s, and Landsat-1 in 1972, the use of remote sensing in human health studies have increased for more than four decades.…”
Section: Introductionmentioning
confidence: 99%
“…After evaluation, 45 full-text articles were removed, and 23 full-text articles met the eligibility criteria for the systematic review. Finally, after removing nine articles, 14 full-text articles were included in the systematic review (shown in Table 1) [1,6,9,11,12,[15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. Based on the findings, the effects of environmental factors on the incidence of CL in the Old World are discussed below.…”
Section: Resultsmentioning
confidence: 99%
“…CL vectors are mainly distributed in forests, soil lands, disturbed environments and dry farms [14][15][16]. Inconclusive findings have been observed in the results of numerous studies investigating the role of weather conditions on CL in different countries, especially in terms of relative humidity [17,18], rainfall [15,19] and lag of time in temperature and humidity [15,17]. Hence, this study aimed to assess the degree to which CL incidence was dependent on weather conditions and other environmental factors in the Old World.…”
Section: Introductionmentioning
confidence: 99%
“…Geographically weighted regression (GWR), an extension of ordinary least squares regression (OLS), analyses the local relationships between the independent and dependent variables [24]. GWR also takes non-stationary variables into consideration (e.g., climate; environmental factors) and allows for the interpolation of values that are not included in the data set [25]. GWR has many utilities in environmental science, particularly for land cover change research and the evaluation of environmental policies [26].…”
Section: Geographically Weighted Regressionmentioning
confidence: 99%