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The Spread and Control of Norovirus Outbreaks Among Hospitals in a Region: A Simulation Model
BACKGROUND: Because hospitals in a region are connected via patient sharing, a norovirus outbreak in one hospital may spread to others. METHODS. We utilized our Regional Healthcare Ecosystem Analyst software to generate an agent-based model of all the acute care facilities in Orange County (OC), C...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4281820/ https://www.ncbi.nlm.nih.gov/pubmed/25734110 http://dx.doi.org/10.1093/ofid/ofu030 |
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author | Bartsch, Sarah M. Huang, Susan S. Wong, Kim F. Avery, Taliser R. Lee, Bruce Y. |
author_facet | Bartsch, Sarah M. Huang, Susan S. Wong, Kim F. Avery, Taliser R. Lee, Bruce Y. |
author_sort | Bartsch, Sarah M. |
collection | PubMed |
description | BACKGROUND: Because hospitals in a region are connected via patient sharing, a norovirus outbreak in one hospital may spread to others. METHODS. We utilized our Regional Healthcare Ecosystem Analyst software to generate an agent-based model of all the acute care facilities in Orange County (OC), California and simulated various norovirus outbreaks in different locations, both with and without contact precautions. RESULTS. At the lower end of norovirus reproductive rate (R(0)) estimates (1.64), an outbreak tended to remain confined to the originating hospital (≤6.1% probability of spread). However, at the higher end of R(0) (3.74), an outbreak spread 4.1%–17.5% of the time to almost all other OC hospitals within 30 days, regardless of the originating hospital. Implementing contact precautions for all symptomatic cases reduced the probability of spread to other hospitals within 30 days and the total number of cases countywide, but not the number of other hospitals seeing norovirus cases. CONCLUSIONS. A single norovirus outbreak can continue to percolate throughout a system of different hospitals for several months and appear as a series of unrelated outbreaks, highlighting the need for hospitals within a region to more aggressively and cooperatively track and control an initial outbreak. |
format | Online Article Text |
id | pubmed-4281820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-42818202015-03-02 The Spread and Control of Norovirus Outbreaks Among Hospitals in a Region: A Simulation Model Bartsch, Sarah M. Huang, Susan S. Wong, Kim F. Avery, Taliser R. Lee, Bruce Y. Open Forum Infect Dis Major Articles BACKGROUND: Because hospitals in a region are connected via patient sharing, a norovirus outbreak in one hospital may spread to others. METHODS. We utilized our Regional Healthcare Ecosystem Analyst software to generate an agent-based model of all the acute care facilities in Orange County (OC), California and simulated various norovirus outbreaks in different locations, both with and without contact precautions. RESULTS. At the lower end of norovirus reproductive rate (R(0)) estimates (1.64), an outbreak tended to remain confined to the originating hospital (≤6.1% probability of spread). However, at the higher end of R(0) (3.74), an outbreak spread 4.1%–17.5% of the time to almost all other OC hospitals within 30 days, regardless of the originating hospital. Implementing contact precautions for all symptomatic cases reduced the probability of spread to other hospitals within 30 days and the total number of cases countywide, but not the number of other hospitals seeing norovirus cases. CONCLUSIONS. A single norovirus outbreak can continue to percolate throughout a system of different hospitals for several months and appear as a series of unrelated outbreaks, highlighting the need for hospitals within a region to more aggressively and cooperatively track and control an initial outbreak. Oxford University Press 2014-07-02 /pmc/articles/PMC4281820/ /pubmed/25734110 http://dx.doi.org/10.1093/ofid/ofu030 Text en © The Author 2014. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/3.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com. |
spellingShingle | Major Articles Bartsch, Sarah M. Huang, Susan S. Wong, Kim F. Avery, Taliser R. Lee, Bruce Y. The Spread and Control of Norovirus Outbreaks Among Hospitals in a Region: A Simulation Model |
title | The Spread and Control of Norovirus Outbreaks Among Hospitals in a Region: A Simulation Model |
title_full | The Spread and Control of Norovirus Outbreaks Among Hospitals in a Region: A Simulation Model |
title_fullStr | The Spread and Control of Norovirus Outbreaks Among Hospitals in a Region: A Simulation Model |
title_full_unstemmed | The Spread and Control of Norovirus Outbreaks Among Hospitals in a Region: A Simulation Model |
title_short | The Spread and Control of Norovirus Outbreaks Among Hospitals in a Region: A Simulation Model |
title_sort | spread and control of norovirus outbreaks among hospitals in a region: a simulation model |
topic | Major Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4281820/ https://www.ncbi.nlm.nih.gov/pubmed/25734110 http://dx.doi.org/10.1093/ofid/ofu030 |
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