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GIS FRAMEWORK FOR PLAGUE RISK ASSESSMENT

机译:GIS的平台风险评估框架

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Plague, caused by Yersinia pestis, is a rapidly progressing, highly infectious, and highly feared disease that is likely to be fatal without prompt antibiotic treatment. Human plague cases are relatively low incidence but high mortality. Geographic information system (GIS) is ideal to optimize risk assessment and surveillance program. The paper will present the conceptual scheme for plague risk assessment considering plague occurrence probability and potential exposure factors. The assessment commonly has three steps: a. Generation of risk factors, using a common geographical unit. b. Conversion of risk factors to a common risk scale. c. Development of criteria to integrate risk factors. Then GIS was used to pre-processing and integrate multi-source remote sensing data and administrative map and the ecological niche modeling. Wetland and land cover were calculated as mask to remove absolutely unsuitable area. Outbreak and density showed the existing and outbreak of bacteria. The vulnerability part considered human activities which could contact with the geographic extent of host animal, including population density, farming, mining, travel, etc.. In the data integration and validation part, the input variables needed to be standardized into the same zero-one range; then, they were weighed and combined by multi-criteria evaluation. The assessment was based on surveillance reports generated by the regional CDC. The risk assessment system proposed in this paper could emphasize the grading plague risk spatially in plague nature foci. The maps could help public health authorities decide where to perform plague surveillance and take preventive measures.
机译:由鼠疫耶尔森氏菌引起的鼠疫是一种快速发展,高度感染和高度恐惧的疾病,如果不及时治疗,可能会致命。人间鼠疫病例发病率相对较低,但死亡率较高。地理信息系统(GIS)是优化风险评估和监视程序的理想选择。本文将提出考虑鼠疫发生概率和潜在暴露因素的鼠疫风险评估概念方案。评估通常包括三个步骤:使用共同的地理单位生成风险因素。 b。将风险因素转换为通用风险等级。 C。制定整合风险因素的标准。然后使用GIS预处理和集成多源遥感数据和行政地图以及生态位模型。湿地和土地覆盖物被计算为遮罩,以去除绝对不合适的区域。爆发和密度表明细菌的存在和爆发。脆弱性部分考虑了可能与宿主动物的地理范围有关的人类活动,包括人口密度,耕种,采矿,旅行等。在数据集成和验证部分,需要将输入变量标准化为相同的零-一个范围然后,将它们称重并通过多标准评估进行合并。该评估基于区域CDC生成的监视报告。本文提出的风险评估系统可以强调在鼠疫自然疫源地上对鼠疫风险进行空间分级。这些地图可以帮助公共卫生当局决定在哪里进行鼠疫监测并采取预防措施。

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