Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/24498
Title: Optimal control of a fractional order epidemic model with application to human respiratory syncytial virus infection
Author: Rosa, Silvério
Torres, Delfim F. M.
Keywords: Human respiratory syncytial virus (HRSV)
Compartmental mathematical models
Fractional optimal control
Issue Date: 2018
Publisher: Elsevier
Abstract: A human respiratory syncytial virus surveillance system was implemented in Florida in 1999, to support clinical decision-making for prophylaxis of premature newborns. Recently, a local periodic SEIRS mathematical model was proposed in [Stat. Optim. Inf. Comput. 6 (2018), no.1, 139--149] to describe real data collected by Florida's system. In contrast, here we propose a non-local fractional (non-integer) order model. A fractional optimal control problem is then formulated and solved, having treatment as the control. Finally, a cost-effectiveness analysis is carried out to evaluate the cost and the effectiveness of proposed control measures during the intervention period, showing the superiority of obtained results with respect to previous ones.
Peer review: yes
URI: http://hdl.handle.net/10773/24498
DOI: 10.1016/j.chaos.2018.10.021
ISSN: 0960-0779
Publisher Version: https://www.sciencedirect.com/science/article/pii/S0960077918306878
Appears in Collections:SCG - Artigos

Files in This Item:
File Description SizeFormat 
[419]Rosa_Torres-CHAOS.pdf1.02 MBAdobe PDF    Request a copy


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.