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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...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2010
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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 |
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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 |