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Modelling of malaria hotspot sites using geospatial technology in the north-western highlands of Ethiopia

机译:使用地理空间技术对埃塞俄比亚西北高地的疟疾热点地区进行建模

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The study focused on mapping risk areas in Fogera plain, North-Western Highland of Ethiopia. Environmental and socio-economic factors were considered, after assigning their own valuable weight in IDRISI software using Pairwise Comparison Technique. Malaria hazard map was developed combining environmental factors like altitude, slope, soil, and distance from breeding sites by using Weighted Overlay Model in Arc GIS. Finally, the risk map was generated by employing risk model that uses hazard, element at risk (population density layer) and vulnerability (land cover layer and distance from health center layer) as input. Hence, very high and high-risk areas constitute 5.51% and 58.12% of the total area respectively. Moderately risk land comprises 30.51% share of the total area. Very low and low risky areas together account below 6% of the total land in the study area. Thus, integrating GIS and remote sensing-based modeling for malaria risk mapping is a worthy technique. Especially, this method can contribute lot to more informed decision and policy making process in terms of planning for intervention and controlling malaria. Hence, it is suggested that it will be effective if the results of this study will be incorporated into ongoing malaria eradication programs at national level in general and in the study area in particular.
机译:该研究的重点是绘制埃塞俄比亚西北高地Fogera平原的风险区域。在使用成对比较技术在IDRISI软件中分配了自己有价值的权重之后,考虑了环境和社会经济因素。通过使用Arc GIS中的加权叠加模型,结合了诸如海拔,坡度,土壤以及距繁殖地点的距离等环境因素,开发了疟疾危害图。最后,通过采用风险模型生成风险图,该模型使用危害,处于风险中的要素(人口密度层)和脆弱性(土地覆盖层以及距卫生中心层的距离)作为输入。因此,极高和高风险地区分别占总面积的5.51%和58.12%。中度风险土地占总面积的30.51%。低风险和低风险地区合计占研究区域总土地的6%以下。因此,将GIS和基于遥感的建模相结合以进行疟疾风险测绘是一项有价值的技术。特别是,该方法可以在计划干预和控制疟疾方面为更加明智的决策和决策过程做出很大贡献。因此,建议将这项研究的结果纳入国家,特别是整个研究领域的正在进行的消灭疟疾计划中将是有效的。

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