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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...

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Detalles Bibliográficos
Autores principales: Chowell, Gerardo, Castillo-Chavez, Carlos, Fenimore, Paul W., Kribs-Zaleta, Christopher M., Arriola, Leon, Hyman, James M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2004
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.
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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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