PandemieGrippaleV1, Ncbi, Checkpoint, bibRecord, 001F93

Hospital surge capacity for an influenza pandemic in the triangle region of North Carolina.

Identifieur interne : 001F93 ( Ncbi/Checkpoint ); précédent : 001F92; suivant : 001F94

Hospital surge capacity for an influenza pandemic in the triangle region of North Carolina.

Auteurs : Rachel L. Woodul [États-Unis] ; Paul L. Delamater [États-Unis] ; Michael Emch [États-Unis]

Source :

Spatial and spatio-temporal epidemiology [ 1877-5853 ] ; 2019.

RBID : pubmed:31421794

Descripteurs français

English descriptors

KwdEn :
- Delivery of Health Care (methods), Disaster Planning (methods), Disaster Planning (organization & administration), Humans, Influenza, Human, Models, Theoretical, Needs Assessment, North Carolina, Pandemics, Spatial Analysis, Surge Capacity (organization & administration).
MESH :
- geographic : North Carolina.
- methods : Delivery of Health Care, Disaster Planning.
- organization & administration : Disaster Planning, Surge Capacity.
- Humans, Influenza, Human, Models, Theoretical, Needs Assessment, Pandemics, Spatial Analysis.

Abstract

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.

DOI: 10.1016/j.sste.2019.100285
PubMed: 31421794

Affiliations:

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pubmed:31421794

Le document en format XML

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<orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName>
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<term>Influenza, Human</term>
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<front><div type="abstract" xml:lang="en">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.</div>
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<name sortKey="Delamater, Paul L" sort="Delamater, Paul L" uniqKey="Delamater P" first="Paul L" last="Delamater">Paul L. Delamater</name>
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Hospital surge capacity for an influenza pandemic in the triangle region of North Carolina.

Hospital surge capacity for an influenza pandemic in the triangle region of North Carolina.

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

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Pour générer des pages wiki