Woodul Rachel L, Delamater Paul L, Emch Michael
Department of Geography, The University of North Carolina at Chapel Hill, NC United States.
Department of Geography, The University of North Carolina at Chapel Hill, NC United States; Carolina Population Center, NC United States.
Spat Spatiotemporal Epidemiol. 2019 Aug;30:100285. doi: 10.1016/j.sste.2019.100285. Epub 2019 Jul 8.
This research investigates the geographic aspects of health care delivery in the event of a sudden increase in the need for care. We constructed an integrated disease outbreak and surge capacity model to evaluate the ability of a region's healthcare system to provide care in the event of a pandemic. In a case study, we implement the model to investigate how an influenza pandemic similar to the 1918 Spanish Flu pandemic would affect the population of the Raleigh-Durham-Chapel Hill metropolitan statistical area and the ability of the region's hospital system to respond to such an event. Under varying scenarios for hospital capacity, we found that the population needing care would overwhelm the system's ability to provide care in the case study. Our model is presented as a framework that can be augmented and expanded to suit the needs of the particular event and healthcare system or services required. By integrating concepts and models from epidemiology, geography, and health care services research, we provide a valuable tool for potential use in disaster planning, hospital system evaluation, and pandemic preparedness.
本研究调查了在护理需求突然增加的情况下医疗服务提供的地理因素。我们构建了一个综合疾病爆发和激增能力模型,以评估一个地区的医疗系统在大流行情况下提供护理的能力。在一个案例研究中,我们运用该模型来调查一场类似于1918年西班牙流感大流行的流感大流行将如何影响罗利-达勒姆-教堂山都会统计区的人口,以及该地区医院系统应对此类事件的能力。在不同的医院容量情景下,我们发现在该案例研究中,需要护理的人群将使系统提供护理的能力不堪重负。我们的模型作为一个框架呈现,可以进行扩充和扩展,以适应特定事件以及所需医疗系统或服务的需求。通过整合流行病学、地理学和医疗服务研究的概念和模型,我们提供了一个有价值的工具,可用于灾难规划、医院系统评估和大流行防范。