Abstract
The optimal treatment strategies with an age-structured model of HIV infection are investigated. The age-structured model allows for variations in the virion production rate and the death rate of infected T cells as a function of age, which is the length of time since infection. The optimal therapy protocol is derived by formulating and analyzing an optimal control problem and the existence of solutions to the optimal control problem is established. The optimal treatment strategy is obtained by solving the corresponding optimality system numerically. It is demonstrated by numerical simulations that the dynamic treatment strategy delays the time to reach the peak viral load and reduces the viral load. Moreover, we propose that optimal therapy protocols should be changed according to different viral production rates and death rates of infected T cells.
| Original language | English |
|---|---|
| Pages (from-to) | 2766-2779 |
| Number of pages | 14 |
| Journal | Applied Mathematics and Computation |
| Volume | 219 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2012 Nov 15 |
Bibliographical note
Funding Information:The work of Hee-Dae Kwon was supported in part by the Korea Research Foundation Grant funded by the Korean Government ( KRF-2008-314-C00043 ) and in part by the Korea Research Foundation Grant funded by the Korean Government ( KRF-2008-331-C00053 ). The work of Jeehyun Lee was supported by the Korea Research Foundation Grant funded by the Korean government ( KRF-2008-531-C00012 ) and in part by the WCU program through NRF ( R31-2008-000-10049-0 ).
All Science Journal Classification (ASJC) codes
- Computational Mathematics
- Applied Mathematics
