Literature DB >> 19202407

Use of computer modeling for emergency preparedness functions by local and state health officials: a needs assessment.

Lisa A Rosenfeld1, Claude Earl Fox, Debora Kerr, Erin Marziale, Amy Cullum, Kanchan Lota, Jonathan Stewart, Mary Zack Thompson.   

Abstract

The authors, collaborating from several public health institutes, present the methodology, results, and lessons learned from a multistate needs assessment of local and state public health and safety officials regarding their familiarity and use of formal computer modeling for preparedness activities. The study was undertaken to provide information to the newly formed Preparedness Modeling Unit within the Centers for Disease Control and Prevention. The focus was on the use of sophisticated mathematical models associated with three public health threats: pandemic influenza, radiologic release, and severe heat waves. The use of computer modeling and scenario-based analyses can be used to better frame problems and opportunities, integrate data sources, expect outcomes, and improve multistakeholder decision making. The results of the eight state needs assessment demonstrated that preparedness officials are familiar with models and would use computer modeling as a tool, along with other tools and general experiences, depending upon the perceived quality and validity of the model and the assumptions, as well as the applicability, of the model to their particular setting and population. More needs to be done to improve awareness and dissemination of available models and share best practices in both knowledge and use of models. Use of preparedness modeling would enhance the planning for vulnerable and at-risk populations, all-hazard emergencies and infectious disease containment strategies, as well as for response functions including evacuation, sheltering, quarantine, and distribution of medications and supplies.

Entities:  

Mesh:

Year:  2009        PMID: 19202407     DOI: 10.1097/01.PHH.0000346004.21157.ef

Source DB:  PubMed          Journal:  J Public Health Manag Pract        ISSN: 1078-4659


  6 in total

1.  Assessing the clinical needs for point of care technologies in neurologic emergencies.

Authors:  Jason T McMullan; Fred R Beyette; Lori A Shutter
Journal:  Neurocrit Care       Date:  2012-10       Impact factor: 3.210

2.  An operational epidemiological model for calibrating agent-based simulations of pandemic influenza outbreaks.

Authors:  D Prieto; T K Das
Journal:  Health Care Manag Sci       Date:  2014-04-08

Review 3.  A systematic review to identify areas of enhancements of pandemic simulation models for operational use at provincial and local levels.

Authors:  Diana M Prieto; Tapas K Das; Alex A Savachkin; Andres Uribe; Ricardo Izurieta; Sharad Malavade
Journal:  BMC Public Health       Date:  2012-03-30       Impact factor: 3.295

4.  Implementing parallel spreadsheet models for health policy decisions: The impact of unintentional errors on model projections.

Authors:  Stephanie L Bailey; Rose S Bono; Denis Nash; April D Kimmel
Journal:  PLoS One       Date:  2018-03-23       Impact factor: 3.240

5.  Translation of Real-Time Infectious Disease Modeling into Routine Public Health Practice.

Authors:  David J Muscatello; Abrar A Chughtai; Anita Heywood; Lauren M Gardner; David J Heslop; C Raina MacIntyre
Journal:  Emerg Infect Dis       Date:  2017-05       Impact factor: 6.883

6.  Using "outbreak science" to strengthen the use of models during epidemics.

Authors:  Caitlin Rivers; Jean-Paul Chretien; Steven Riley; Julie A Pavlin; Alexandra Woodward; David Brett-Major; Irina Maljkovic Berry; Lindsay Morton; Richard G Jarman; Matthew Biggerstaff; Michael A Johansson; Nicholas G Reich; Diane Meyer; Michael R Snyder; Simon Pollett
Journal:  Nat Commun       Date:  2019-07-15       Impact factor: 14.919

  6 in total

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