Is subsidizing vaccination with hub agent priority policy really meaningful to suppress disease spreading?

Tanaka, Masaki; Tanimoto, Jun

doi:10.1016/j.jtbi.2019.110059

Cited by 17 publications

(6 citation statements)

References 24 publications

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“…In this model, the treatment behavior changes on a time scale, and the vaccination uptake evolves on a time scale. A model that joins evolutionary game theory with epidemiological dynamics is presented by Tanaka et al 26 In this model, the policies that encourage vaccination are appraised and in order to suppress the overall social cost of a vaccination program, individual subsidies for vaccinations can be directed to hub agents with priority.…”

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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“…In the field, elements of human behaviours, such as characteristics [6] , [7] , [8] , behavioural patterns [9] , [10] , and age [11] , [12] , have proven crucial in halting epidemics. However, an epidemic can fail to be eradicated due to the vaccination dilemma [13] .…”

Section: Introductionmentioning

confidence: 99%

Effect of vaccine efficacy on disease transmission with age-structured

Ши

2022

Chaos, Solitons & Fractals

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Recent outbreaks of novel infectious diseases (e.g., COVID-19, H2N3) have highlighted the threat of pathogen transmission, and vaccination offers a necessary tool to relieve illness. However, vaccine efficacy is one of the barriers to eradicating the epidemic. Intuitively, vaccine efficacy is closely related to age structures, and the distribution of vaccine efficacy usually obeys a Gaussian distribution, such as with H3N2 and influenza A and B. Based on this fact, in this paper, we study the effect of vaccine efficacy on disease spread by considering different age structures and extending the traditional susceptible-infected-recovery/vaccinator(SIR/V) model with two stages to three stages, which includes the decision-making stage, epidemic stage, and birth-death stage. Extensive numerical simulations show that our model generates a higher vaccination level compared with the case of complete vaccine efficacy because the vaccinated individuals in our model can form small and numerous clusters slower than that of complete vaccine efficacy. In addition, priority vaccination for the elderly is conducive to halting the epidemic when facing population ageing. Our work is expected to provide valuable information for decision-making and the design of more effective disease control strategies.

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“…However, the world is still not fully prepared for the outbreak of an epidemic [8] . There are many reasons behind this, including the widespread presence of viral vectors (such as mosquitoes) [9] , virus mutation [10] , low effect of treatment [11] , [12] , seasonal outbreak (such as influenza) [13] , [14] , etc. As a consequence, the global protection is not enough, and people are usually encouraged to strengthen personal protection to reduce the risk of being infected, and they are also willing to do that [15] , [16] .…”

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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Is subsidizing vaccination with hub agent priority policy really meaningful to suppress disease spreading?

Cited by 17 publications

References 24 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

Effect of vaccine efficacy on disease transmission with age-structured

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

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