Cargando…

VirSim - a Model to Support Pandemic Policy Making

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 exis...

Descripción completa

Detalles Bibliográficos
Autores principales: Fasth, Tobias, Ihlar, Marcus, Brouwers, Lisa
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944021/
https://www.ncbi.nlm.nih.gov/pubmed/20877457
http://dx.doi.org/10.1371/currents.RRN1181
_version_ 1782187062363947008
author Fasth, Tobias
Ihlar, Marcus
Brouwers, Lisa
author_facet Fasth, Tobias
Ihlar, Marcus
Brouwers, Lisa
author_sort Fasth, Tobias
collection PubMed
description 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.
format Text
id pubmed-2944021
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-29440212010-09-23 VirSim - a Model to Support Pandemic Policy Making Fasth, Tobias Ihlar, Marcus Brouwers, Lisa PLoS Curr Influenza 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. Public Library of Science 2010-09-22 /pmc/articles/PMC2944021/ /pubmed/20877457 http://dx.doi.org/10.1371/currents.RRN1181 Text en http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Influenza
Fasth, Tobias
Ihlar, Marcus
Brouwers, Lisa
VirSim - a Model to Support Pandemic Policy Making
title VirSim - a Model to Support Pandemic Policy Making
title_full VirSim - a Model to Support Pandemic Policy Making
title_fullStr VirSim - a Model to Support Pandemic Policy Making
title_full_unstemmed VirSim - a Model to Support Pandemic Policy Making
title_short VirSim - a Model to Support Pandemic Policy Making
title_sort virsim - a model to support pandemic policy making
topic Influenza
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944021/
https://www.ncbi.nlm.nih.gov/pubmed/20877457
http://dx.doi.org/10.1371/currents.RRN1181
work_keys_str_mv AT fasthtobias virsimamodeltosupportpandemicpolicymaking
AT ihlarmarcus virsimamodeltosupportpandemicpolicymaking
AT brouwerslisa virsimamodeltosupportpandemicpolicymaking