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Advisor(s)
Abstract(s)
A state wide Human Respiratory Syncytial Virus (HRSV) surveillance system was
implemented in Florida in 1999 to support clinical decision-making for
prophylaxis of premature infants. The research presented in this paper
addresses the problem of fitting real data collected by the Florida HRSV
surveillance system by using a periodic SEIRS mathematical model. A sensitivity
and cost-effectiveness analysis of the model is done and an optimal control
problem is formulated and solved with treatment as the control variable.
Description
Keywords
Human Respiratory Syncytial Virus (HRSV) Compartmental Mathematical Models Estimation of Parameters Optimal Control