IDEAS home Printed from https://ideas.repec.org/a/spr/jcsosc/v4y2021i2d10.1007_s42001-021-00105-z.html
   My bibliography  Save this article

Flexible imitation suppresses epidemics through better vaccination

Author

Listed:
  • Soya Miyoshi

    (Tokyo Tech World Research Hub Initiative (WRHI), Institute of Innovative Research, Tokyo Institute of Technology)

  • Marko Jusup

    (Tokyo Tech World Research Hub Initiative (WRHI), Institute of Innovative Research, Tokyo Institute of Technology)

  • Petter Holme

    (Tokyo Tech World Research Hub Initiative (WRHI), Institute of Innovative Research, Tokyo Institute of Technology)

Abstract

The decision of whether or not to vaccinate is a complex one. It involves the contribution both to a social good—herd immunity—and to one’s own well-being. It is informed by social influence, personal experience, education, and mass media. In our work, we investigate a situation in which individuals make their choice based on how social neighbourhood responded to previous epidemics. We do this by proposing a minimalistic model using components from game theory, network theory and the modelling of epidemic spreading, and opinion dynamics. Individuals can use the information about the neighbourhood in two ways—either they follow the majority or the best-performing neighbour. Furthermore, we let individuals learn which of these two decision-making strategies to follow from their experience. Our results show that the flexibility of individuals to choose how to integrate information from the neighbourhood increases the vaccine uptake and decreases the epidemic severity if the following conditions are fulfilled. First, the initial fraction of individuals who imitate the neighbourhood majority should be limited, and second, the memory of previous outbreaks should be sufficiently long. These results have implications for the acceptance of novel vaccines and raising awareness about vaccination, while also pointing to promising future research directions.

Suggested Citation

  • Soya Miyoshi & Marko Jusup & Petter Holme, 2021. "Flexible imitation suppresses epidemics through better vaccination," Journal of Computational Social Science, Springer, vol. 4(2), pages 709-720, November.
  • Handle: RePEc:spr:jcsosc:v:4:y:2021:i:2:d:10.1007_s42001-021-00105-z
    DOI: 10.1007/s42001-021-00105-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42001-021-00105-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s42001-021-00105-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Francis, Peter J., 1997. "Dynamic epidemiology and the market for vaccinations," Journal of Public Economics, Elsevier, vol. 63(3), pages 383-406, February.
    2. Zhang, Yan, 2013. "The impact of other-regarding tendencies on the spatial vaccination game," Chaos, Solitons & Fractals, Elsevier, vol. 56(C), pages 209-215.
    3. Han, Dun & Sun, Mei, 2014. "Can memory and conformism resolve the vaccination dilemma?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 95-104.
    4. Geoffard, Pierre-Yves & Philipson, Tomas, 1997. "Disease Eradication: Private versus Public Vaccination," American Economic Review, American Economic Association, vol. 87(1), pages 222-230, March.
    5. Verelst, Frederik & Willem, Lander & Kessels, Roselinde & Beutels, Philippe, 2018. "Individual decisions to vaccinate one's child or oneself: A discrete choice experiment rejecting free-riding motives," Social Science & Medicine, Elsevier, vol. 207(C), pages 106-116.
    6. Berinsky, Adam J., 2017. "Rumors and Health Care Reform: Experiments in Political Misinformation," British Journal of Political Science, Cambridge University Press, vol. 47(2), pages 241-262, April.
    7. Iwamura, Yoshiro & Tanimoto, Jun, 2018. "Realistic decision-making processes in a vaccination game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 236-241.
    8. Ichinose, Genki & Kurisaku, Takehiro, 2017. "Positive and negative effects of social impact on evolutionary vaccination game in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 84-90.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hong, Xiao & Han, Yuexing & Wang, Bing, 2023. "Impacts of detection and contact tracing on the epidemic spread in time-varying networks," Applied Mathematics and Computation, Elsevier, vol. 439(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alam, Muntasir & Tanaka, Masaki & Tanimoto, Jun, 2019. "A game theoretic approach to discuss the positive secondary effect of vaccination scheme in an infinite and well-mixed population," Chaos, Solitons & Fractals, Elsevier, vol. 125(C), pages 201-213.
    2. Cui, Guang-Hai & Wang, Zhen & Li, Jun-Li & Jin, Xing & Zhang, Zhi-Wang, 2021. "Influence of precaution and dynamic post-indemnity based insurance policy on controlling the propagation of epidemic security risks in networks," Applied Mathematics and Computation, Elsevier, vol. 392(C).
    3. Wang, Jianwei & He, Jialu & Yu, Fengyuan & Guo, Yuxin & Li, Meiyu & Chen, Wei, 2020. "Realistic decision-making process with memory and adaptability in evolutionary vaccination game," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    4. Ding, Hong & Xu, Jia-Hao & Wang, Zhen & Ren, Yi-Zhi & Cui, Guang-Hai, 2018. "Subsidy strategy based on history information can stimulate voluntary vaccination behaviors on seasonal diseases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 390-399.
    5. Alam, Muntasir & Ida, Yuki & Tanimoto, Jun, 2021. "Abrupt epidemic outbreak could be well tackled by multiple pre-emptive provisions-A game approach considering structured and unstructured populations," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    6. Toxvaerd, Flavio, 2010. "Recurrent Infection and Externalities in Prevention," CEPR Discussion Papers 8112, C.E.P.R. Discussion Papers.
    7. Kessing, Sebastian G. & Nuscheler, Robert, 2006. "Monopoly pricing with negative network effects: The case of vaccines," European Economic Review, Elsevier, vol. 50(4), pages 1061-1069, May.
    8. Courtney J. Ward, 2009. "Influenza Immunization Campaigns: Is an Ounce of Prevention Worth a Pound of Cure?," Working Papers daleconwp2010-01, Dalhousie University, Department of Economics.
    9. Courtney J. Ward, 2014. "Influenza Vaccination Campaigns: Is an Ounce of Prevention Worth a Pound of Cure?," American Economic Journal: Applied Economics, American Economic Association, vol. 6(1), pages 38-72, January.
    10. Goyal, Sanjeev & Vigier, Adrien, 2015. "Interaction, protection and epidemics," Journal of Public Economics, Elsevier, vol. 125(C), pages 64-69.
    11. Barrett, Scott & Hoel, Michael, 2007. "Optimal disease eradication," Environment and Development Economics, Cambridge University Press, vol. 12(5), pages 627-652, October.
    12. Serge Blondel & François Langot & Judith E. Mueller & Jonathan Sicsic, 2021. "Preferences and Covid-19 Vaccination Intentions," Working Papers hal-03381425, HAL.
    13. Corey White, 2021. "Measuring Social and Externality Benefits of Influenza Vaccination," Journal of Human Resources, University of Wisconsin Press, vol. 56(3), pages 749-785.
    14. Sadique, Z. & Edmunds, W. J. & Devlin, N. & Parkin, D., 2005. "Understanding individuals’ decisions about vaccination: a comparison between Expected Utility and Regret Theory models," Working Papers 05/03, Department of Economics, City University London.
    15. Cui, Guang-Hai & Li, Jun-Li & Dong, Kun-Xiang & Jin, Xing & Yang, Hong-Yong & Wang, Zhen, 2024. "Influence of subsidy policies against insurances on controlling the propagation of epidemic security risks in networks," Applied Mathematics and Computation, Elsevier, vol. 476(C).
    16. Troy Tassier & Philip Polgreen & Alberto Segre, 2015. "Vaccination Games with Peer Effects in a Heterogeneous Hospital Worker Population," Administrative Sciences, MDPI, vol. 5(1), pages 1-25, January.
    17. Na Hao & Gervan Fearon, 2009. "Government Funding Policy Towards Communicable Diseases," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 37(2), pages 121-134, June.
    18. Rikard Forslid & Mathias Herzing, 2015. "On the Optimal Production Capacity for Influenza Vaccine," Health Economics, John Wiley & Sons, Ltd., vol. 24(6), pages 726-741, June.
    19. Stéphane Mechoulan, 2007. "Market structure and communicable diseases," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(2), pages 468-492, May.
    20. Sabine Liebenehm & Bernard Bett & Cristobal Verdugo & Mohamed Said, 2016. "Optimal Drug Control under Risk of Drug Resistance – The Case of African Animal Trypanosomosis," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 510-533, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jcsosc:v:4:y:2021:i:2:d:10.1007_s42001-021-00105-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.