Hospital surge capacity for an influenza pandemic in the triangle region of North Carolina.
Hospital
Influenza
Pandemic
Spatial model
Surge capacity
Journal
Spatial and spatio-temporal epidemiology
ISSN: 1877-5853
Titre abrégé: Spat Spatiotemporal Epidemiol
Pays: Netherlands
ID NLM: 101516571
Informations de publication
Date de publication:
08 2019
08 2019
Historique:
received:
01
11
2018
revised:
17
06
2019
accepted:
20
06
2019
entrez:
19
8
2019
pubmed:
20
8
2019
medline:
29
4
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31421794
pii: S1877-5845(18)30100-X
doi: 10.1016/j.sste.2019.100285
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
100285Informations de copyright
Copyright © 2019. Published by Elsevier Ltd.