Literature DB >> 17521095

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

Josef A Sobieraj1, Joel Reyes, Kathleen N Dunemn, Irvin H Carty, Arunkumar Pennathur, Rafael S Gutierrez, Mark D Harris.   

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.

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Year:  2007        PMID: 17521095     DOI: 10.7205/milmed.172.5.486

Source DB:  PubMed          Journal:  Mil Med        ISSN: 0026-4075            Impact factor:   1.437


  8 in total

Review 1.  Health systems' "surge capacity": state of the art and priorities for future research.

Authors:  Samantha K Watson; James W Rudge; Richard Coker
Journal:  Milbank Q       Date:  2013-03       Impact factor: 4.911

2.  Model-Based Recursive Partitioning of Patients' Return Visits to Multispecialty Clinic During the 2009 H1N1 Pandemic Influenza (pH1N1).

Authors:  Osaro Mgbere; Salma Khuwaja
Journal:  Online J Public Health Inform       Date:  2020-05-16

3.  Recommendations for modeling disaster responses in public health and medicine: a position paper of the society for medical decision making.

Authors:  Margaret L Brandeau; Jessica H McCoy; Nathaniel Hupert; Jon-Erik Holty; Dena M Bravata
Journal:  Med Decis Making       Date:  2009-07-15       Impact factor: 2.583

4.  The open-air treatment of pandemic influenza.

Authors:  Richard A Hobday; John W Cason
Journal:  Am J Public Health       Date:  2009-05-21       Impact factor: 9.308

5.  Health system resource gaps and associated mortality from pandemic influenza across six Asian territories.

Authors:  James W Rudge; Piya Hanvoravongchai; Ralf Krumkamp; Irwin Chavez; Wiku Adisasmito; Pham Ngoc Chau; Bounlay Phommasak; Weerasak Putthasri; Chin-Shui Shih; Mart Stein; Aura Timen; Sok Touch; Ralf Reintjes; Richard Coker
Journal:  PLoS One       Date:  2012-02-21       Impact factor: 3.240

6.  Epidemiologic modeling with FluSurge for pandemic (H1N1) 2009 outbreak, Queensland, Australia.

Authors:  Philip R A Baker; Jiandong Sun; James Morris; Amanda Dines
Journal:  Emerg Infect Dis       Date:  2011-09       Impact factor: 6.883

7.  Sensitivity Analysis of the Parameters of Korea's Pandemic Influenza Preparedness Plan.

Authors:  Chaeshin Chu; Junehawk Lee; Dong Hoon Choi; Seung-Ki Youn; Jong-Koo Lee
Journal:  Osong Public Health Res Perspect       Date:  2011-12

8.  Surge in Hospitalizations Associated With Mechanical Ventilator Use During Influenza Outbreaks.

Authors:  James C King; Adebola Ajao; Richard Lichenstein; Laurence S Magder
Journal:  Disaster Med Public Health Prep       Date:  2014-04-01       Impact factor: 1.385

  8 in total

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