Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
The 43rd ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Oct. 2011, Shiga)
Stochastic Optimal Control of an SIR Epidemic Model with Vaccination
Masaaki Ishikawa
Author information
JOURNAL FREE ACCESS

2012 Volume 2012 Pages 57-62

Details
Abstract
Infectious diseases remain a threat to mankind in the 21st century. A prevention of prevalence of infectious diseases is one of important problems in epidemiology. In the past, the public health system has prepared for some strategies such as antibiotics and vaccines to control the infectious disease development. In order to build up more effective strategies, we need a precise theoretical analysis of infectious diseases. From a theoretical viewpoint, the mathematical model which describes the spread of the infectious disease has a very important role. In this paper, we study the stochastic modeling of the infectious disease in populations consisting of four populations: susceptible, infected, recovered and vaccinated ones. We consider the optimal vaccination strategy under the framework of the stochastic optimal control problem. Applying the four-step scheme to the considered stochastic optimal control problem, we construct a feasible optimal vaccination system.
Content from these authors
© 2012 ISCIE Symposium on Stochastic Systems Theory and Its Applications
Previous article Next article
feedback
Top