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Identification of climatic and environmental factors associated with incidence of cutaneous leishmaniasis in Central Iran using satellite imagery

机译:使用卫星图像识别与伊朗中部伊朗皮肤莱山西亚病发生率相关的气候和环境因素

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Objective:To determine the effect of climatic and environmental factors on the incidence of cutaneous leishmaniasis in Qom province in 2018.Methods:In this cross-sectional study,the data on cutaneous leishmaniasis incidence were collected from the Disease Control and Prevention Center in Qom province.Climatic and environmental data including Normalized Difference Vegetation Index(NDVI),Land Surface Temperature(LST),and soil moisture were extracted using satellite images.Data of altitude and sunny hours were provided based on shuttle radar topography mission digital elevation model and hemispherical viewshed algorithm,respectively.The associations of climatic and environmental variables with the incidence of the disease were analyzed by Pearson correlation method.The Arc GIS 10.3 software was used to determine the geographical distribution of these factors.Results:There were positive correlations between cutaneous leishmaniasis incidence and the two climatic factors:LST and sunny hours per day(P=0.041,P=0.016),and it had weak negative correlations with the digital elevation model(P=0.27),soil moisture(P=0.54),and NDVI(P=0.62).The time delay analysis showed that in one-,two-,and three month periods,the correlations increased with a 95%confidence interval.Accordingly,the correlation with the three-month time delay was positive and relatively strong between the cutaneous leishmaniasis incidence and LST and sunny hours(P=0.027,P=0.02);nevertheless,there were negative correlations between the cutaneous leishmaniasis incidence and the soil moisture(P=0.27)and NDVI(P=0.62).Conclusions:As Qom is located in one of the semi-arid climate zones,topography and solar energy are important factors affecting the incidence of cutaneous leishmaniasis in autumn.Therefore,appropriate disease control programs are recommended.
机译:目的:确定气候与环境因素对2018年QOM省内皮肤利什曼病发生率的影响。在这种横断面研究中,从QOM省的疾病控制和预防中心收集了皮肤杀死发病率的数据使用卫星图像提取包括归一化差异植被指数(NDVI),土地表面温度(LST)和土壤水分的环境数据。基于班车雷达形貌任务数字高度模型和半球形视图提供了海拔高度和阳光较大的水分分别通过Pearson相关方法分析了气候和环境变量与疾病发病率的关联。弧GIS 10.3软件用于确定这些因素的地理分布。结果:皮肤Leishmaniaisis的发病率之间存在正相关性和两个气候因素:LST和晴天每天(p = 0.041,p = 0.016),它与数字仰角模型(p = 0.27),土壤水分(p = 0.54)和ndvi(p = 0.62)具有弱的负相关性。时间延迟分析显示在一个,两个和三个月的时间内,相关性随95%的置信区间增加。根据,皮肤利什曼病发生率和LST和晴天之间的三个月时间延迟的相关性是阳性且相对较强的P = 0.027,P = 0.02);虽然,皮肤Leishmaniaisis发病率和土壤水分之间存在负相关(P = 0.27)和NDVI(P = 0.62)。CONCLUSIONS:作为QOM位于半干旱之一气候区,地形和太阳能是影响秋季皮肤利什曼病发生率的重要因素。因此,建议使用适当的疾病控制计划。

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