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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 209
Type: Contributed
Date/Time: Monday, July 30, 2007 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #309917
Title: Parametric Time Dependent SIR Model
Author(s): Di Shi*+ and Peter Gross
Companies: Riverdale Country School and Riverdale Country School
Address: 2700 Henry Hudson PKWY Apt 4A, Riverdale, NY, 10463,
Keywords: Parametric ; Disease Spread ; SIR Model
Abstract:

Severe Acute Respiratory Syndrome (SARS) broke out in 2003 resulting in 8098 SARS cases and 774 deaths. This epidemic caused significant social and economic disruption in the areas which it affected. While much has been learned about this syndrome since March 2003, a quantitative description of the disease spread out over time remains incomplete. A parametric time dependent disease spread SIR model was proposed in this project to study the impact of intervention. Parameters were estimated using SARS data reported by the WHO. This model can be used in simulating the effects of interventions in future epidemics.


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Revised September, 2007