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Modeling hospital response to mild and severe influenza pandemic scenarios under normal and expanded capacities
Journal article   Peer reviewed

Modeling hospital response to mild and severe influenza pandemic scenarios under normal and expanded capacities

Josef A Sobieraj, Joel Reyes, Kathleen N Dunemn, Irvin H Carty, Arunkumar Pennathur, Rafael S Gutierrez and Mark D Harris
Military medicine, Vol.172(5), pp.486-490
05/2007
DOI: 10.7205/MILMED.172.5.486
PMID: 17521095

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Abstract

William Beaumont Army Medical Center conducted quantitative modeling with FluSurge 2.0 (Centers for Disease Control and Prevention) to determine hospital capabilities in responding to patient arrival surges of the Fort Bliss population in mild 1968-type and severe 1918-type influenza pandemics. Model predictions showed that William Beaumont Army Medical Center could adequately care for all intensive care unit (ICU) and non-ICU patients during a mild pandemic, particularly if hospital capacity was expanded using the emergency management plan, excess surge plan, or activation of a contagious disease outbreak facility. For a severe influenza pandemic, model predictions showed that hospital beds, ventilators, and other resources would be exceeded within 2 or 3 weeks. Even at maximal hospital expansion, for a 12-week severe pandemic with a 35% attack rate there would be peak demand for 214% of available non-ICU beds, 785% of ICU beds, and 392% of ventilators. Health care planners and decision-makers should prepare for resource challenges when developing plans for the next influenza pandemic.
Adolescent Adult Aged Child Child, Preschool Decision Making, Organizational Disaster Planning - organization & administration Disease Outbreaks Hospital Planning Hospitals, Military - organization & administration Hospitals, Military - statistics & numerical data Humans Infant Infant, Newborn Infection Control Influenza, Human - epidemiology Influenza, Human - mortality Influenza, Human - therapy Middle Aged Military Medicine - organization & administration Models, Statistical Needs Assessment Texas - epidemiology

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