The Oxford Handbook of Complex Disaster Risks and Resilience最新文献

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Disaster Prevention Achieved 防灾成就
The Oxford Handbook of Complex Disaster Risks and Resilience Pub Date : 2020-11-10 DOI: 10.1093/oxfordhb/9780190466145.013.1
A. McLean, D. Schwert, K. M. Macek-rowland, T. DeSutter, H. O'Neill, James M Shultz
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引用次数: 0
On the Use of Synthetic Populations to Assess Health Risks of Complex Disasters 利用综合人口评估复杂灾害的健康风险
The Oxford Handbook of Complex Disaster Risks and Resilience Pub Date : 2020-11-10 DOI: 10.1093/oxfordhb/9780190466145.013.7
S. Swarup, J. Gohlke, J. Bohland
{"title":"On the Use of Synthetic Populations to Assess Health Risks of Complex Disasters","authors":"S. Swarup, J. Gohlke, J. Bohland","doi":"10.1093/oxfordhb/9780190466145.013.7","DOIUrl":"https://doi.org/10.1093/oxfordhb/9780190466145.013.7","url":null,"abstract":"The pathways from climate change and related disasters to health outcomes can be conceptualized as direct (primary) or indirect (secondary or tertiary). How these pathways impact the health of a given population are the result of complex interactions between climate-induced forcing functions, non-climatic environmental risk factors, community socio-economic structures and processes, and the health attitudes and behaviors of individuals and groups. These interactions vary by place and over time to create a complex mosaic of health risks. To address the complexity of the consequences of climate change across space and time, planning and policy approaches have typically used post-hoc analyses and have extrapolated relationships temporally without the ability in most instances to account for new contextual conditions at a place.The focus of this handbook chapter is to describe and illustrate how agent-based modeling of synthetic populations could be used to create reasonable scenarios of current and future health risks associated with climate change and related disasters. As an example of the utility of the platform, the chapter provides an estimate of extreme heat exposures of individuals in one region of the United States. Additionally, it gives examples of further applications of synthetic population modeling for assessing health risks following an acute natural disaster, such as a hurricane or earthquake.","PeriodicalId":380967,"journal":{"name":"The Oxford Handbook of Complex Disaster Risks and Resilience","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131434128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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