Abstract
A discrete time Susceptible - Asymptomatic - Infectious - Treated - Recovered (SAITR) model is introduced in the context of influenza transmission. We evaluate the potential effect of control measures such as social distancing and antiviral treatment on the dynamics of a single outbreak. Optimal control theory is applied to identify the best way of reducing morbidity and mortality at a minimal cost. The problem is solved by using a discrete version of Pontryagin's maximum principle. Numerical results show that dual strategies have stronger impact in the reduction of the final epidemic size.
Original language | English (US) |
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Pages (from-to) | 183-197 |
Number of pages | 15 |
Journal | Mathematical Biosciences and Engineering |
Volume | 8 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2011 |
Keywords
- Antiviral treatment
- Influenza
- Optimal control
- Social distancing
ASJC Scopus subject areas
- Modeling and Simulation
- General Agricultural and Biological Sciences
- Computational Mathematics
- Applied Mathematics