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 R0 to assess the role that model parameters play in outbreak control. The tr...

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Main Authors: Gerardo Chowell, Carlos Castillo-Chavez, Paul W. Fenimore, Christopher M. Kribs-Zaleta, Leon Arriola, James M. Hyman
Format: Article
Language:English
Published: Centers for Disease Control and Prevention 2004-07-01
Series:Emerging Infectious Diseases
Subjects:
Online Access:https://wwwnc.cdc.gov/eid/article/10/7/03-0647_article
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author Gerardo Chowell
Carlos Castillo-Chavez
Paul W. Fenimore
Christopher M. Kribs-Zaleta
Leon Arriola
James M. Hyman
author_facet Gerardo Chowell
Carlos Castillo-Chavez
Paul W. Fenimore
Christopher M. Kribs-Zaleta
Leon Arriola
James M. Hyman
author_sort Gerardo Chowell
collection DOAJ
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 R0 to assess the role that model parameters play in outbreak control. The transmission rate and isolation effectiveness have the largest fractional effect on R0. We estimated the distribution of the reproductive number R0 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 R0 is <1, we found that 25% of our R0 distribution lies at R0 > 1, even with perfect isolation. This implies the need to simultaneously apply more than one method of control.
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spelling doaj.art-6caa8c3abbda4b51a57f7ee50c56a73d2022-12-22T03:38:18ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592004-07-011071258126310.3201/eid1007.030647Model Parameters and Outbreak Control for SARSGerardo ChowellCarlos Castillo-ChavezPaul W. FenimoreChristopher M. Kribs-ZaletaLeon ArriolaJames M. HymanControl 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 R0 to assess the role that model parameters play in outbreak control. The transmission rate and isolation effectiveness have the largest fractional effect on R0. We estimated the distribution of the reproductive number R0 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 R0 is <1, we found that 25% of our R0 distribution lies at R0 > 1, even with perfect isolation. This implies the need to simultaneously apply more than one method of control.https://wwwnc.cdc.gov/eid/article/10/7/03-0647_articleSARSuncertaintysensitivitydiagnosisisolationreproductive number
spellingShingle Gerardo Chowell
Carlos Castillo-Chavez
Paul W. Fenimore
Christopher M. Kribs-Zaleta
Leon Arriola
James M. Hyman
Model Parameters and Outbreak Control for SARS
Emerging Infectious Diseases
SARS
uncertainty
sensitivity
diagnosis
isolation
reproductive number
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 SARS
uncertainty
sensitivity
diagnosis
isolation
reproductive number
url https://wwwnc.cdc.gov/eid/article/10/7/03-0647_article
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AT paulwfenimore modelparametersandoutbreakcontrolforsars
AT christophermkribszaleta modelparametersandoutbreakcontrolforsars
AT leonarriola modelparametersandoutbreakcontrolforsars
AT jamesmhyman modelparametersandoutbreakcontrolforsars