An SIR epidemic model is expanded to include a game theory characterization of changes in human vaccination acceptance. Using the vaccination capacity as a control, we apply optimal control theory to the model and minimize the infected population and social cost simultaneously. We conduct numerical simulations and analyze different scenarios to control COVID-19. Numerical results suggest that the scenario with an optimal control on vaccination capacity may offer a feasible approach for eliminating the epidemic with minimal cost and time. We give a specific vaccination plan based on the optimal control scenario.Bachelor of Scienc
In this study we consider a mathematical model of an SIR epidemic model with a saturated incide...
When effective medical treatment and vaccination are not available, non-pharmaceutical interventions...
This paper presents a vaccination strategy for fighting against the propagation of epidemic diseases...
An SIR epidemic model is expanded to include a game theory characterization of changes in human vacc...
This paper discusses optimal control of a mathematical epidemic model governed by an ODE system with...
Vaccination is the most effective method of preventing the spread of infectious diseases. In this ...
Optimal control for infectious diseases has received increasing attention over the past few decades....
In the framework of homogeneous susceptible-infected-recovered (SIR) models, we use a control theory...
International audienceWe model outcomes of voluntary prevention using an imperfect vaccine, which co...
This research work used mathematical modeling in understanding the dynamics of covid-19 disease. We ...
We investigate game-theory based decisions on vaccination uptake and its effects on the spread of an...
This thesis propose a mathematical analysis of the vaccination strategies.The first part introduces ...
This research considers the application of Optimal Control theory to minimize the spread of viral in...
An epidemiological model with vaccinations, testing and social distancing isproposed. The vaccinatio...
An SIR type model is expanded to include the use of education or information given to the public as ...
In this study we consider a mathematical model of an SIR epidemic model with a saturated incide...
When effective medical treatment and vaccination are not available, non-pharmaceutical interventions...
This paper presents a vaccination strategy for fighting against the propagation of epidemic diseases...
An SIR epidemic model is expanded to include a game theory characterization of changes in human vacc...
This paper discusses optimal control of a mathematical epidemic model governed by an ODE system with...
Vaccination is the most effective method of preventing the spread of infectious diseases. In this ...
Optimal control for infectious diseases has received increasing attention over the past few decades....
In the framework of homogeneous susceptible-infected-recovered (SIR) models, we use a control theory...
International audienceWe model outcomes of voluntary prevention using an imperfect vaccine, which co...
This research work used mathematical modeling in understanding the dynamics of covid-19 disease. We ...
We investigate game-theory based decisions on vaccination uptake and its effects on the spread of an...
This thesis propose a mathematical analysis of the vaccination strategies.The first part introduces ...
This research considers the application of Optimal Control theory to minimize the spread of viral in...
An epidemiological model with vaccinations, testing and social distancing isproposed. The vaccinatio...
An SIR type model is expanded to include the use of education or information given to the public as ...
In this study we consider a mathematical model of an SIR epidemic model with a saturated incide...
When effective medical treatment and vaccination are not available, non-pharmaceutical interventions...
This paper presents a vaccination strategy for fighting against the propagation of epidemic diseases...