Document Details

Document Type:   Thesis
Title:   Modeling Super-Spreading Events for SARS
Author:   Thembinkosi Peter Mkhatshwa
College:   Science
Degree Program:   Mathematics, M.A.
Degree:   Master of Arts
Committee Director:   Dr Anna Mummert
Document Availability:   Document available for World-Wide access.
Date of Defense:   04/15/2010

One of the intriguing characteristics of the 2003 severe acute respiratory syndrome (SARS) epidemics was the occurrence of super spreading events (SSEs). Super-spreading events for a speci fic infectious disease occur when infected individuals infect more than the average number of secondary cases. The understanding of these SSEs is critical to understanding the spread of SARS. In this thesis, we present a modi fication of the basic SIR (Susceptible - Infected - Removed) disease model, an SIPR (Susceptible - Regular Infected - Super-spreader - Removed) model, which captures the e ffect of the SSEs.  

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