  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.
