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The risk analysis for infectious disease outbreaks in flood disaster based on spatial information technologies

机译:基于空间信息技术的洪灾传染病暴发风险分析

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The waterborne infectious disease caused catastrophic flooding is a major problem which leads to loss of life and economy. The spatial analysis of the disease outbreaks risk will help to respond and mitigate to this problem rapidly. In this study, we use the spatial information technologies and quantitative microbial risk assessment (QMRA) model to evaluate the risk of diarrheal disease in Ayutthaya province during the 2011 Thailand flood disaster. Six Radarsat-2 scenes are applied to determine flood parameters including flood area and flood duration. Combining with flood parameters, water quality sampling or coliform group count collected during flood disaster are used as the inputs in QMRA model in order to simulate the risk of waterborne diarrheal outbreaks. Compared with the weekly reported diarrhea cases, we found that the intense relationship between the rate of diarrhea patients and flood parameters can lead to evaluate the risk of the diarrhea outbreaks.
机译:造成灾难性洪灾的水传传染病是一个重大问题,导致生命和经济损失。对疾病暴发风险的空间分析将有助于迅速应对和缓解这一问题。在这项研究中,我们使用空间信息技术和定量微生物风险评估(QMRA)模型来评估2011年泰国洪灾期间大城府腹泻病的风险。应用六个Radarsat-2场景确定洪水参数,包括洪水面积和洪水持续时间。结合洪水参数,将洪水灾害期间收集的水质采样或大肠菌群计数用作QMRA模型的输入,以模拟水源性腹泻暴发的风险。与每周报告的腹泻病例相比,我们发现腹泻患者的发病率与洪水参数之间的密切关系可以评估腹泻暴发的风险。

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