Literature DB >> 17099200

FluSurge--a tool to estimate demand for hospital services during the next pandemic influenza.

Xinzhi Zhang1, Martin I Meltzer, Pascale M Wortley.   

Abstract

PURPOSE: To assess the impact of pandemic influenza on hospital services.
METHODS: Based on census data and estimates of hospital resources (non-ICU [intensive care unit] beds, ICU beds, and mechanical ventilators) in a given area, FluSurge software estimates the number of hospital admissions and deaths due to pandemic influenza under variable duration and virulence scenarios and compares hospital resources needed during a pandemic with existing hospital resources.
RESULTS: Sample results from Metropolitan Atlanta illustrate how the next influenza pandemic may overwhelm existing hospital resources, given that hospitals increasingly operate at nearly full capacity.
CONCLUSIONS: Hospitals need to consider and plan for a surge in demand for hospital services during the next influenza pandemic.

Entities:  

Mesh:

Year:  2006        PMID: 17099200     DOI: 10.1177/0272989X06295359

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  22 in total

1.  Optimal resource allocation model to mitigate the impact of pandemic influenza: a case study for Turkey.

Authors:  Melik Koyuncu; Rizvan Erol
Journal:  J Med Syst       Date:  2010-02       Impact factor: 4.460

Review 2.  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

3.  Modeling the economic impact of pandemic influenza: a case study in Turkey.

Authors:  Elcin Yoldascan; Behice Kurtaran; Melik Koyuncu; Esra Koyuncu
Journal:  J Med Syst       Date:  2010-04       Impact factor: 4.460

4.  A computer simulation of vaccine prioritization, allocation, and rationing during the 2009 H1N1 influenza pandemic.

Authors:  Bruce Y Lee; Shawn T Brown; George W Korch; Philip C Cooley; Richard K Zimmerman; William D Wheaton; Shanta M Zimmer; John J Grefenstette; Rachel R Bailey; Tina-Marie Assi; Donald S Burke
Journal:  Vaccine       Date:  2010-05-16       Impact factor: 3.641

5.  20 Years of Public Health Economics and Decision Sciences at the US Centers for Disease Control and Prevention: The CDC Steven M. Teutsch Prevention Effectiveness Fellowship, 1995-2015.

Authors:  Adam G Skelton; Martin I Meltzer
Journal:  J Public Health Manag Pract       Date:  2017 Jul/Aug

6.  From the patient perspective: the economic value of seasonal and H1N1 influenza vaccination.

Authors:  Bruce Y Lee; Kristina M Bacon; Julie M Donohue; Ann E Wiringa; Rachel R Bailey; Richard K Zimmerman
Journal:  Vaccine       Date:  2011-01-06       Impact factor: 3.641

7.  Estimated epidemiologic parameters and morbidity associated with pandemic H1N1 influenza.

Authors:  Ashleigh R Tuite; Amy L Greer; Michael Whelan; Anne-Luise Winter; Brenda Lee; Ping Yan; Jianhong Wu; Seyed Moghadas; David Buckeridge; Babak Pourbohloul; David N Fisman
Journal:  CMAJ       Date:  2009-12-03       Impact factor: 8.262

8.  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

9.  Estimating Weekly Call Volume to a National Nurse Telephone Triage Line in an Influenza Pandemic.

Authors:  Bishwa B Adhikari; Lisa M Koonin; Melissa L Mugambi; Kellye D Sliger; Michael L Washington; Emily B Kahn; Martin I Meltzer
Journal:  Health Secur       Date:  2018 Sep/Oct

10.  Using a Dynamic Model to Consider Optimal Antiviral Stockpile Size in the Face of Pandemic Influenza Uncertainty.

Authors:  Amy L Greer; Dena Schanzer
Journal:  PLoS One       Date:  2013-06-21       Impact factor: 3.240

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