首页> 外文会议>Asian conference on remote sensingACRS >THE ROLE OF ENVIRONMENTAL AND EPIDEMIOLOGICAL IN MAPPING SUSCEPTIBILITY MALARIA DISEASE IN RANAU DISTRICT USING REMOTE SENSING AND GIS
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THE ROLE OF ENVIRONMENTAL AND EPIDEMIOLOGICAL IN MAPPING SUSCEPTIBILITY MALARIA DISEASE IN RANAU DISTRICT USING REMOTE SENSING AND GIS

机译:利用遥感和GIS的环境和流行病学在ranau区测绘疟疾疾病的作用

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Malaria has been identified as a public health problem in Malaysia since the early 1960s. In 2011, The National Malaria Elimination Strategic Plan was introduced with the target of "zero" status for indigenous human malaria by 2020. Majority of cases in Malaysia are found in Sabah and Sarawak. Ranau district has the highest number of cases which 273 out of 1,660 total cases reported in Sabah in 2017. Most of the cases are contributed by zoonotic malaria compared to human malaria. Analysis using remote sensing and GIS techniques helps to identify the environment risk factors to malaria incidence. By using remote sensing and GIS data, this study produces the malaria susceptibility map in Ranau. Environmental and epidemiological related variables such as vegetation index (NDVI), land surface temperature (LST), soil moisture (SM), digital elevation model (DEM), land use/cover changes, distance to river, rainfall, population density and malaria cases have been used, integrated and analyzed by using multi criteria decision analysis (MCDA) method. Then, Analytical Hierarchy Process (AHP) Pairwise Comparison is applied to assign weightage to the variables that generated malaria susceptibility map. The map was categorized into five classes: very low, low, medium, high and very high. Almost 90% of Ranau district was identified as high susceptibility area to malaria transmission. The mean accuracy of the map was assessed by using epidemiological data of incidence case in year 2017, 2016 and 2015 shows about 99.42 + 1.32 % with equivalent probability of 0.99 in high-level susceptibility of malaria for 2017 and can be used to predict the high susceptibiltity area of malaria in targeted year. The relation between malaria incidence distribution and susceptibility maps will help health policy makers to target control interventions at high susceptibility area and enhance the cost-efficiency of the program.
机译:自20世纪60年代初以来,疟疾已被确定为马来西亚的公共卫生问题。 2011年,在2020年将土着人类疟疾的“零”地位的目标引入了国家疟疾消除战略计划。马来西亚的大多数病例都在沙巴和沙捞越中发现。 Ranau区的案件数量最多,2017年沙巴报告的1,660例中有273例。大多数病例由人群疟疾与人类疟疾相比贡献。使用遥感和GIS技术的分析有助于识别疟疾发病率的环境风险因素。通过使用遥感和GIS数据,该研究产生了RAAU的疟疾敏感性图。环境和流行病学相关变量,如植被指数(NDVI),陆地温度(LST),土壤水分(SM),数字海拔模型(DEM),土地使用/覆盖变化,距离河流,降雨,人口密度和疟疾病例使用多标准决策分析(MCDA)方法已经使用,集成和分析。然后,应用分析层次处理(AHP)成对比较被应用于将重量分配给生成疟疾敏感性图的变量。地图分为五类:非常低,低,中,高,高。近90%的Ranau区被确定为疟疾传播的高敏感区域。通过2017年2017年的流行病学数据评估地图的平均准确性,2016年和2015年显示了大约99.42 + 1.32%,其在2017年疟疾的高水平易感性0.99的同等概率为0.99,并且可以用来预测高位有针对性年份的疟疾的敏感区。疟疾发生率分布和易感性图之间的关系将有助于卫生政策制定者在高易感区域进行控制干预,并提高程序的成本效率。

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