Literature DB >> 20877457

VirSim - a model to support pandemic policy making.

Tobias Fasth1, Marcus Ihlar, Lisa Brouwers.   

Abstract

A simulation model called VirSim was developed to aid policy making in Sweden. The model simulates the spread of pandemic influenza, using real population data on a national and regional level. Swedish authorities wanted a model that was both quick to run and to implement as a complement to the existing model MicroSim. The possibility to interactively investigate the effect of varying different assumptions was an important aspect. The VirSim model proved useful for comparing different interventions strategies, and for forecasting the societal burden in terms of hospitalization and workplace absenteeism. This paper points out the usefulness of System Dynamics models in public policy making, as a complement to more detailed and time-consuming models.

Entities:  

Year:  2010        PMID: 20877457      PMCID: PMC2944021          DOI: 10.1371/currents.RRN1181

Source DB:  PubMed          Journal:  PLoS Curr        ISSN: 2157-3999


  6 in total

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Authors:  M G Baker; N Wilson; Q S Huang; S Paine; L Lopez; D Bandaranayake; M Tobias; K Mason; G F Mackereth; M Jacobs; C Thornley; S Roberts; C McArthur
Journal:  Euro Surveill       Date:  2009-08-27

2.  Economic consequences to society of pandemic H1N1 influenza 2009 - preliminary results for Sweden.

Authors:  L Brouwers; B Cakici; M Camitz; A Tegnell; M Boman
Journal:  Euro Surveill       Date:  2009-09-17

3.  Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents.

Authors:  Jacco Wallinga; Peter Teunis; Mirjam Kretzschmar
Journal:  Am J Epidemiol       Date:  2006-09-12       Impact factor: 4.897

4.  Time lines of infection and disease in human influenza: a review of volunteer challenge studies.

Authors:  Fabrice Carrat; Elisabeta Vergu; Neil M Ferguson; Magali Lemaitre; Simon Cauchemez; Steve Leach; Alain-Jacques Valleron
Journal:  Am J Epidemiol       Date:  2008-01-29       Impact factor: 4.897

5.  Pandemic potential of a strain of influenza A (H1N1): early findings.

Authors:  Christophe Fraser; Christl A Donnelly; Simon Cauchemez; William P Hanage; Maria D Van Kerkhove; T Déirdre Hollingsworth; Jamie Griffin; Rebecca F Baggaley; Helen E Jenkins; Emily J Lyons; Thibaut Jombart; Wes R Hinsley; Nicholas C Grassly; Francois Balloux; Azra C Ghani; Neil M Ferguson; Andrew Rambaut; Oliver G Pybus; Hugo Lopez-Gatell; Celia M Alpuche-Aranda; Ietza Bojorquez Chapela; Ethel Palacios Zavala; Dulce Ma Espejo Guevara; Francesco Checchi; Erika Garcia; Stephane Hugonnet; Cathy Roth
Journal:  Science       Date:  2009-05-11       Impact factor: 47.728

6.  Influenza virus transmission is dependent on relative humidity and temperature.

Authors:  Anice C Lowen; Samira Mubareka; John Steel; Peter Palese
Journal:  PLoS Pathog       Date:  2007-10-19       Impact factor: 6.823

  6 in total
  1 in total

1.  So different, yet so similar: meta-analysis and policy modeling of willingness to participate in clinical trials among Brazilians and Indians.

Authors:  Guilherme Zammar; Henrique Meister; Jatin Shah; Amruta Phadtare; Luciana Cofiel; Ricardo Pietrobon
Journal:  PLoS One       Date:  2010-12-16       Impact factor: 3.240

  1 in total

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