@article{Rosa_Torres_2018, title={Parameter Estimation, Sensitivity Analysis and Optimal Control of a Periodic Epidemic Model with Application to HRSV in Florida}, volume={6}, url={http://iapress.org/index.php/soic/article/view/soic.20180309}, DOI={10.19139/soic.v6i1.472}, abstractNote={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.}, number={1}, journal={Statistics, Optimization & Information Computing}, author={Rosa, Silvério and Torres, Delfim F. M.}, year={2018}, month={Feb.}, pages={139-149} }