A jolt to the system: Quantifying disaster impact and return to routine using citizen-generated calls for service.

Q3 Medicine Journal of Emergency Management Pub Date : 2023-07-01 DOI:10.5055/jem.0797
Caroline S Hackerott, David M Neal
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引用次数: 0

Abstract

This study compares the effect of two different types of incidents on the number of citizen-generated 9-1-1 dispatch center calls and if changes in the call numbers represent a measurable break in the expected rhythm of 9-1-1 calls. Using time series analysis, changes in the normal rhythm of calls for service (CFS) demonstrate that CFS is a good indicator of a disaster event. CFS data may potentially illustrate one aspect of measuring the degree of disaster for an event. This study establishes the value of applying time series analysis to secondary data within the framework of social routine to determine the magnitude disaster impact (or jolt) to a system. The same methodology may also be applied to examine the process of reestablishing system routine or rhythms indicating system recovery as defined as restabilization.

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对系统的冲击:量化灾难影响并使用公民生成的服务呼叫恢复正常
这项研究比较了两种不同类型的事件对市民产生的9-1-1调度中心呼叫数量的影响,以及呼叫数量的变化是否代表了9-1-1呼叫预期节奏的可测量中断。使用时间序列分析,呼叫服务(CFS)正常节奏的变化表明,CFS是灾难事件的良好指标。CFS数据可能说明衡量事件灾害程度的一个方面。这项研究确立了在社会常规框架内对二次数据应用时间序列分析的价值,以确定灾难对系统的影响(或冲击)。同样的方法也可以用于检查重新建立系统程序或节奏的过程,指示系统恢复,定义为重新启动。
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来源期刊
Journal of Emergency Management
Journal of Emergency Management Medicine-Emergency Medicine
CiteScore
1.20
自引率
0.00%
发文量
67
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