A cyclic epidemic vaccination model: Embedding the attitude of individuals toward vaccination into SVIS dynamics through social interactions

K.M. Ariful Kabir and Jun Tanimoto

Physica A: Statistical Mechanics and its Applications, 2021, vol. 581, issue C

Abstract: Social norms have a profound influence on the perception of vaccination. People’s attitudes toward vaccination reflect their inherent recognition of the trade-off between vaccine acceptance and risk of infection. Here we model a new path of cyclic epidemic dynamics in vaccination aspects by considering the vaccine acceptance and fear of infection, where the social dynamics are embedded into the mathematical epidemiological framework. Besides the already established vaccination game models, we develop a model called the cyclic mean-field (CMF) model vis-à-vis the cyclic behavioral (CBH) model. In the CMF model, we presume that, like disease transmission, the propelling process for vaccination also occurs through human contact, and the deflating vaccination (low vaccination acceptance) is also integrated into the social interactions of individuals. We analytically investigate the model framework through a rich phase diagram. Extensive numerical simulation suggests that effective vaccination may meaningfully reduce the community risk of infection. Provided a proactive attitude toward vaccination and fair recognition of disease risk can be developed, the vaccination uptake can be enhanced, thereby resulting in reduced epidemic prevalence. Our investigation might provide a new epidemiological dynamics concept that considers the social dynamics embedded into the alteration rate of vaccination.

Keywords: Cyclic vaccination game; Vaccine acceptance; Disease risk; Vaccine efficacy (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:581:y:2021:i:c:s0378437121005033

DOI: 10.1016/j.physa.2021.126230

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