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Model Parameters and Outbreak Control for SARS
Control of the 2002–2003 severe acute respiratory syndrome (SARS) outbreak was based on rapid diagnosis coupled with effective patient isolation. We used uncertainty and sensitivity analysis of the basic reproductive number R(0) to assess the role that model parameters play in outbreak control. The...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2004
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3323341/ https://www.ncbi.nlm.nih.gov/pubmed/15324546 http://dx.doi.org/10.3201/eid1007.030647 |
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author | Chowell, Gerardo Castillo-Chavez, Carlos Fenimore, Paul W. Kribs-Zaleta, Christopher M. Arriola, Leon Hyman, James M. |
author_facet | Chowell, Gerardo Castillo-Chavez, Carlos Fenimore, Paul W. Kribs-Zaleta, Christopher M. Arriola, Leon Hyman, James M. |
author_sort | Chowell, Gerardo |
collection | PubMed |
description | Control of the 2002–2003 severe acute respiratory syndrome (SARS) outbreak was based on rapid diagnosis coupled with effective patient isolation. We used uncertainty and sensitivity analysis of the basic reproductive number R(0) to assess the role that model parameters play in outbreak control. The transmission rate and isolation effectiveness have the largest fractional effect on R(0). We estimated the distribution of the reproductive number R(0) under perfect isolation conditions. The distribution lies in the interquartile range 0.19–1.08, with a median of 0.49. Even though the median of R(0) is <1, we found that 25% of our R(0) distribution lies at R(0) > 1, even with perfect isolation. This implies the need to simultaneously apply more than one method of control. |
format | Online Article Text |
id | pubmed-3323341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-33233412012-04-17 Model Parameters and Outbreak Control for SARS Chowell, Gerardo Castillo-Chavez, Carlos Fenimore, Paul W. Kribs-Zaleta, Christopher M. Arriola, Leon Hyman, James M. Emerg Infect Dis Research Control of the 2002–2003 severe acute respiratory syndrome (SARS) outbreak was based on rapid diagnosis coupled with effective patient isolation. We used uncertainty and sensitivity analysis of the basic reproductive number R(0) to assess the role that model parameters play in outbreak control. The transmission rate and isolation effectiveness have the largest fractional effect on R(0). We estimated the distribution of the reproductive number R(0) under perfect isolation conditions. The distribution lies in the interquartile range 0.19–1.08, with a median of 0.49. Even though the median of R(0) is <1, we found that 25% of our R(0) distribution lies at R(0) > 1, even with perfect isolation. This implies the need to simultaneously apply more than one method of control. Centers for Disease Control and Prevention 2004-07 /pmc/articles/PMC3323341/ /pubmed/15324546 http://dx.doi.org/10.3201/eid1007.030647 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Chowell, Gerardo Castillo-Chavez, Carlos Fenimore, Paul W. Kribs-Zaleta, Christopher M. Arriola, Leon Hyman, James M. Model Parameters and Outbreak Control for SARS |
title | Model Parameters and Outbreak Control for SARS |
title_full | Model Parameters and Outbreak Control for SARS |
title_fullStr | Model Parameters and Outbreak Control for SARS |
title_full_unstemmed | Model Parameters and Outbreak Control for SARS |
title_short | Model Parameters and Outbreak Control for SARS |
title_sort | model parameters and outbreak control for sars |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3323341/ https://www.ncbi.nlm.nih.gov/pubmed/15324546 http://dx.doi.org/10.3201/eid1007.030647 |
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