A game theoretic approach to discuss the positive secondary effect of vaccination scheme in an infinite and well-mixed population

Alam, Muntasir; Tanaka, Masaki; Tanimoto, Jun

doi:10.1016/j.chaos.2019.05.031

Cited by 44 publications

(18 citation statements)

References 46 publications

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“…The effect coming from the failure of getting perfect immunity to the individuals who perpetrated vaccination earlier is studied by Alam et al 27 Their new model slows down the spread of the infectious and also facilitates quicker recovery time. In order to evaluate the performance of vaccination‐subsidizing policies in the face of an epidemic, Kuga et al 28 combined evolutionary game theory and mathematical epidemiology.…”

Section: Introductionmentioning

confidence: 99%

Optimal control and differential game solutions for social distancing in response to epidemics of infectious diseases on networks

Dashtbali

Malek

Mirzaie

2020

Optim Control Appl Methods

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Summary In this paper, the problem of social distancing in the spread of infectious diseases in the human network is extended by optimal control and differential game approaches. Hear, SEAIR model on simulation network is used. Total costs for both approaches are formulated as objective functions. SEAIR dynamics for group k that contacts with k individuals including susceptible, exposed, asymptomatically infected, symptomatically infected and improved or safe individuals is modeled. A novel random model including the concept of social distancing and relative risk of infection using Markov process is proposed. For each group, an aggregate investment is derived and computed using adjoint equations and maximum principle. Results show that for each group, investments in the differential game are less than investments in an optimal control approach. Although individuals' participation in investment for social distancing causes to reduce the epidemic cost, the epidemic cost according to the second approach is too much less than the first approach.

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Section: Introductionmentioning

confidence: 99%

Optimal control and differential game solutions for social distancing in response to epidemics of infectious diseases on networks

Dashtbali

Malek

Mirzaie

2020

Optim Control Appl Methods

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“…This can lead to serving the purpose better. Rule-based evolutionary game theory has been applied in research [30]. Now we will look at two of the major parts of EGT, which are: 1) Evolutionary Stable Strategy (ESS).…”

Section: B Evolutionary Game Theorymentioning

confidence: 99%

Disease Classification in Health Care Systems With Game Theory Approach

Raja

Asghar

2020

IEEE Access

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There are numerous cases in real life when we come across problems involving the optimization of multiple objectives simultaneously. One of the complexities of solving such problems is that often one or more objectives are usually conflicting under given conditions. In this study, the benefits of relying on a deployed Clinical Decision Support System (CDSS) concerning the overall reputation of a health facility has been studied. The analysis is performed in terms of a cooperative Bayesian game-theoretic model. The game is played between two players of which the first player is a patient who needs quick and accurate medical attention and the second player is the hospital administration that relies on medical experts as well as integrated multi-objective clinical data classification systems for decision-making. The proposed model ''MEAF''-Multi-objective Evolutionary Algorithm using Fuzzy Genetics attempts to address accuracy and interpretability simultaneously using Evolutionary Algorithms (EAs). This model enables a H CDSS to detect a disease accurately by using the available resources efficiently. The results of our simulation show that H CDSS produces better and accurate results in detecting disease with efficient resource utilization along with the reduced computational cost. This approach has also produced a better response for both players based on Bayesian Nash Equilibrium. Finally, the proposed model has been tested for accuracy, efficient resource utilization, and computationally cost-effective solution.

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“…Epidemics continue to trigger world alarms in recent decades [1] , [2] , and have become a serious threat to human health [3] , [4] , [5] . Currently, a new type of coronavirus (COVID-19) is circulating worldwide [6] , and its plateaus hasn’t been reached up to the time of writing this manuscript [7] .…”

Section: Introductionmentioning

confidence: 99%

Modeling the competitive diffusions of rumor and knowledge and the impacts on epidemic spreading

Huang

Chen

2021

Applied Mathematics and Computation

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Highlights The impacts of knowledge diffusion on rumor and epidemic are studied in a two-layer network. The competitive diffusions of rumor and knowledge are modeled on the communication layer. The outbreak threshold of rumor increases linearly with the penetration intensity of knowledge. The outbreak threshold of epidemic increases concavely with the penetration intensity of knowledge. Rumor and epidemic can be stopped more efficiently by knowledge when people have more connections in the communication layer.

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A game theoretic approach to discuss the positive secondary effect of vaccination scheme in an infinite and well-mixed population

Cited by 44 publications

References 46 publications

Optimal control and differential game solutions for social distancing in response to epidemics of infectious diseases on networks

Optimal control and differential game solutions for social distancing in response to epidemics of infectious diseases on networks

Disease Classification in Health Care Systems With Game Theory Approach

Modeling the competitive diffusions of rumor and knowledge and the impacts on epidemic spreading

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