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Incentives' Effect in Influenza Vaccination Policy

Author

Listed:
  • Dan Yamin

    (Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel)

  • Arieh Gavious

    (Faculty of Business Administration, Ono Academic College, Kiryat Ono 55000, Israel; and Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel)

Abstract
In the majority of developed countries, the level of influenza vaccination coverage in all age groups is suboptimal. Hence, the authorities offer different kinds of incentives for people to become vaccinated such as subsidizing immunization or placing immunization centers in malls to make the process more accessible. We built a theoretical epidemiological game model to find the optimal incentive for vaccination and the corresponding expected level of vaccination coverage. The model was supported by survey data from questionnaires about people's perceptions about influenza and the vaccination against it. Results suggest that the optimal magnitude of the incentives should be greater when less contagious seasonal strains of influenza are involved and greater for the nonelderly population rather than the elderly, and should rise as high as $57 per vaccinated individual so that all children between the ages of six months and four years will be vaccinated. This paper was accepted by Yossi Aviv, operations management.

Suggested Citation

  • Dan Yamin & Arieh Gavious, 2013. "Incentives' Effect in Influenza Vaccination Policy," Management Science, INFORMS, vol. 59(12), pages 2667-2686, December.
    • Handle: RePEc:inm:ormnsc:v:59:y:2013:i:12:p:2667-2686
    DOI: 10.1287/mnsc.2013.1725
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    References listed on IDEAS

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    1. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    2. Eunha Shim & Gretchen B. Chapman & Alison P. Galvani, 2010. "Decision Making with Regard to Antiviral Intervention during an Influenza Pandemic," Medical Decision Making, , vol. 30(4), pages 64-81, July.
    3. Hershey, John C. & Asch, David A. & Thumasathit, Thi & Meszaros, Jacqueline & Waters, Victor V., 1994. "The Roles of Altruism, Free Riding, and Bandwagoning in Vaccination Decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 59(2), pages 177-187, August.
    4. Brito, Dagobert L. & Sheshinski, Eytan & Intriligator, Michael D., 1991. "Externalities and compulsary vaccinations," Journal of Public Economics, Elsevier, vol. 45(1), pages 69-90, June.
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    Citations

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    Cited by:

    1. Feiyu Guo & Erbao Cao, 2020. "Does Reference Dependence Impact Intervention Mechanisms in Vaccine Markets?," Sustainability, MDPI, vol. 12(16), pages 1-28, August.
    2. Lin, Qi & Zhao, Qiuhong & Lev, Benjamin, 2022. "Influenza vaccine supply chain coordination under uncertain supply and demand," European Journal of Operational Research, Elsevier, vol. 297(3), pages 930-948.
    3. Jesús Villota-Miranda & R. Rodríguez-Ibeas, 2024. "Simple economics of vaccination: public policies and incentives," International Journal of Health Economics and Management, Springer, vol. 24(2), pages 155-172, June.
    4. Arzi Adbi & Chirantan Chatterjee & Matej Drev & Anant Mishra, 2019. "When the Big One Came: A Natural Experiment on Demand Shock and Market Structure in India's Influenza Vaccine Markets," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 810-832, April.
    5. Dorit Zimand-Sheiner & Ofrit Kol & Smadar Frydman & Shalom Levy, 2021. "To Be (Vaccinated) or Not to Be: The Effect of Media Exposure, Institutional Trust, and Incentives on Attitudes toward COVID-19 Vaccination," IJERPH, MDPI, vol. 18(24), pages 1-14, December.
    6. Guo, Feiyu & Cao, Erbao, 2021. "Can reference points explain vaccine hesitancy? A new perspective on their formation and updating," Omega, Elsevier, vol. 99(C).
    7. 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).
    8. Kim, Namhoon & Mountain, Travis P., 2018. "Do we consider paid sick leave when deciding to get vaccinated?," Social Science & Medicine, Elsevier, vol. 198(C), pages 1-6.
    9. Moghaddasi Kelishomi, Ali & Sgroi, Daniel, 2021. "A Field Study of Donor Behavior in the Iranian Kidney Market," The Warwick Economics Research Paper Series (TWERPS) 1381, University of Warwick, Department of Economics.
    10. Ho‐Yin Mak & Tinglong Dai & Christopher S. Tang, 2022. "Managing two‐dose COVID‐19 vaccine rollouts with limited supply: Operations strategies for distributing time‐sensitive resources," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4424-4442, December.
    11. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "Literature review: The vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 268(1), pages 174-192.
    12. Philipp Sprengholz & Luca Henkel & Robert Böhm & Cornelia Betsch, 2023. "Different Interventions for COVID-19 Primary and Booster Vaccination? Effects of Psychological Factors and Health Policies on Vaccine Uptake," Medical Decision Making, , vol. 43(2), pages 239-251, February.
    13. Choudhury, Nishat Alam & Ramkumar, M. & Schoenherr, Tobias & Singh, Shalabh, 2023. "The role of operations and supply chain management during epidemics and pandemics: Potential and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).

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