Collection of Perishable Data from the Nisqually Earthquake for Improving Casualty Loss Estimation Methodologies
Collection of Perishable Data from the Nisqually Earthquake for Improving Casualty Loss Estimation Methodologies
批准号:
0135443
负责人:
Kimberley Shoaf
金额:
$9.45万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-09-15 至 2003-08-31
中文摘要
这项建议的具体目标是收集最近尼斯奎拉地震造成的伤害和相关建筑物损坏的易腐烂数据。在拟议的努力下收集的数据将加强为最近的美国地震(惠蒂尔海峡,洛马普里塔和北岭地震)编制的现有伤害和损害数据库,并将建立在目前nsf资助的研究(CMS 99-00062和CMS 00-85314)的基础上,建立一个标准化的地震伤害分类方案,旨在帮助改进地震响应和减灾的伤亡估计模型。伤害数据将从医院急诊科日志中收集,并从医院病历中提取。有关建筑物损坏和维修费用的信息由各个地方司法管辖区收集,通常在县和州一级汇总。可以从一些社区获得详细的数据,将寻求这些数据与地震相关伤害数据的相关性。这些信息将与受伤地点的地址相匹配,以帮助识别与结构相关的伤害风险因素。今后将寻求额外资金的工作包括:分析建筑物损坏/伤害数据中发现的趋势;对人口和伤害案件进行横断面调查,以便对伤害进行病例对照研究;伤害和建筑破坏的地理分析;集成到伤亡估计的建模中。
英文摘要
This prooposal has the specific objective to collect perishable data on injuries and related building damage for the recent Nisqually earthquake. The data collected under the proposed effort would enhance existing injury and damage databases compiled for recent U.S. earthquakes (the Whittier Narrows, Loma Prieta and Northridge earthquakes), and will build on current NSF-funded research (CMS 99-00062 & CMS 00-85314) to establish a standardized earthquake injury categorization scheme, intended to help refine casualty estimation models for earthquake response and mitigation. Injury data will be collected from hospital emergency department logs and abstracted from hospital patient records. Information on building damage and repair cost is collected by various local jurisdictions, and is often aggregated at the county and state level. Detailed data may be available from a number of communities, and this data will be sought for correlation to data on earthquake-related injuries. This information will be matched by address to injury locations to help identify structure-related injury risk factors. Future work for which additional funding will be sought includes: analysis of trends found in the building damage/injury data: cross-sectional survey of the population and injury cases for a case-control study of injuries; geographic analysis of injuries and building damage; integration into modeling for casualty estimation.
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会议论文
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海外基金