IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0012594.html
   My bibliography  Save this article

Rapid Emergence of Free-Riding Behavior in New Pediatric Immunization Programs

Author

Listed:
  • Chris T Bauch
  • Samit Bhattacharyya
  • Robert F Ball

Abstract

Background: Mathematical models have formalized how free-rider effects can threaten the stability of high vaccine coverage levels under established voluntary vaccination programs. However, little research has addressed the question of when free-riding begins to develop when a new vaccine is first introduced in a population. Methodology/Principal Findings: Here, we combine a game theoretical model of vaccinating behavior with an age-structured compartmental model to analyze rational vaccinating behavior in the first years of a universal immunization program, where a new vaccine is free to all children of a specified age. The model captures how successive birth cohorts face different epidemiological landscapes that have been shaped by the vaccinating decisions of previous birth cohorts, resulting in a strategic interaction between individuals in different birth cohorts. The model predicts a Nash equilibrium coverage level of for the first few birth cohorts under the new program. However, free-riding behavior emerges very quickly, with the Nash equilibrium vaccine coverage dropping significantly within 2-5 years after program initiation. Subsequently, a rich set of coupled dynamics between infection prevalence and vaccinating behaviors is possible, ranging from relatively stable (but reduced) coverage in later birth cohorts to wide fluctuations in vaccine coverage from one birth cohort to the next. Individual tolerance for vaccine risk also starts out at relatively high levels before dropping significantly within a few years. Conclusions/Significance: These results suggest that even relatively new immunization programs can be vulnerable to drops in vaccine coverage caused by vaccine scares and exacerbated by herd immunity effects, necessitating vigilance from the start.

Suggested Citation

  • Chris T Bauch & Samit Bhattacharyya & Robert F Ball, 2010. "Rapid Emergence of Free-Riding Behavior in New Pediatric Immunization Programs," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-9, September.
  • Handle: RePEc:plo:pone00:0012594
    DOI: 10.1371/journal.pone.0012594
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0012594
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0012594&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0012594?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
    ---><---

    References listed on IDEAS

    as
    1. Sterman, J.D., 2006. "Learning from evidence in a complex world," American Journal of Public Health, American Public Health Association, vol. 96(3), pages 505-514.
    2. 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.
    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. Emanuele Blasioli & Bahareh Mansouri & Srinivas Subramanya Tamvada & Elkafi Hassini, 2023. "Vaccine Allocation and Distribution: A Review with a Focus on Quantitative Methodologies and Application to Equity, Hesitancy, and COVID-19 Pandemic," SN Operations Research Forum, Springer, vol. 4(2), pages 1-32, June.
    2. 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.

    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. Andrea Galeotti & Brian W. Rogers, 2013. "Strategic Immunization and Group Structure," American Economic Journal: Microeconomics, American Economic Association, vol. 5(2), pages 1-32, May.
    2. Sridharan, Sanjeev & Jones, Bobby & Caudill, Barry & Nakaima, April, 2016. "Steps towards incorporating heterogeneities into program theory: A case study of a data-driven approach," Evaluation and Program Planning, Elsevier, vol. 58(C), pages 88-97.
    3. Wenjing Luo & Zhi Qiu & Yurika Yokoyama & Shengyuan Zheng, 2022. "Decision-Making Mechanism of Joint Activities for the Elderly and Children in Integrated Welfare Facilities: A Discussion Based on “Motivation–Constraint” Interaction Model," IJERPH, MDPI, vol. 19(16), pages 1-23, August.
    4. Chanel, Olivier & Luchini, Stéphane & Massoni, Sébastien & Vergnaud, Jean-Christophe, 2011. "Impact of information on intentions to vaccinate in a potential epidemic: Swine-origin Influenza A (H1N1)," Social Science & Medicine, Elsevier, vol. 72(2), pages 142-148, January.
    5. Toxvaerd, Flavio, 2010. "Recurrent Infection and Externalities in Prevention," CEPR Discussion Papers 8112, C.E.P.R. Discussion Papers.
    6. Thomas Wein, 2021. "Ist eine Impfpflicht gegen das Coronavirus nötig? [Is Mandatory Vaccination Against the Coronavirus Necessary?]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 101(2), pages 114-120, February.
    7. גדעון יניב, 1997. "דחיית רציונאלית של פנייה לאבחון רפואי קריטי (בפוטנציה) (באנגלית)," Working Papers 314, National Insurance Institute of Israel.
    8. repec:mpr:mprres:6558 is not listed on IDEAS
    9. Mark Gersovitz & Jeffrey S. Hammer, 2004. "The Economical Control of Infectious Diseases," Economic Journal, Royal Economic Society, vol. 114(492), pages 1-27, January.
    10. Acemoglu, Daron & Malekian, Azarakhsh & Ozdaglar, Asu, 2016. "Network security and contagion," Journal of Economic Theory, Elsevier, vol. 166(C), pages 536-585.
    11. Louise Freebairn & Jo-An Atkinson & Nathaniel D Osgood & Paul M Kelly & Geoff McDonnell & Lucie Rychetnik, 2019. "Turning conceptual systems maps into dynamic simulation models: An Australian case study for diabetes in pregnancy," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-27, June.
    12. Shosh Shahrabani & Amiram Gafni & Uri Ben-Zion, 2008. "Low Flu Shot Rates Puzzle—Some Plausible Behavioral Explanations," The American Economist, Sage Publications, vol. 52(1), pages 66-72, March.
    13. Rabah Amir & Filomena Garcia & Iryna Topolyan, 2023. "First‐best health policy in vaccine markets with health and network externalities," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 25(6), pages 1229-1250, December.
    14. Jelnov, Artyom & Jelnov, Pavel, 2022. "Vaccination policy and trust," Economic Modelling, Elsevier, vol. 108(C).
    15. Brown, Zachary S. & Connor, Lawson & Rejesus, Roderick M. & Yorobe Jr., Jose M., 2018. "Bioeconomic feedbacks from large-scale adoption of transgenic pesticidal corn in the Philippines," CEnREP Working Papers 272080, North Carolina State University, Department of Agricultural and Resource Economics.
    16. Terrence August & Duy Dao & Kihoon Kim, 2019. "Market Segmentation and Software Security: Pricing Patching Rights," Management Science, INFORMS, vol. 65(10), pages 4575-4597, October.
    17. Tsutsui, Yoshiro & Benzion, Uri & Shahrabani, Shosh, 2012. "Economic and behavioral factors in an individual's decision to take the influenza vaccination in Japan," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(5), pages 594-602.
    18. Federico, Salvatore & Ferrari, Giorgio & Torrente, Maria-Laura, 2022. "Optimal Vaccination in a SIRS Epidemic Model," Center for Mathematical Economics Working Papers 667, Center for Mathematical Economics, Bielefeld University.
    19. Hassmiller Lich, Kristen & Urban, Jennifer Brown & Frerichs, Leah & Dave, Gaurav, 2017. "Extending systems thinking in planning and evaluation using group concept mapping and system dynamics to tackle complex problems," Evaluation and Program Planning, Elsevier, vol. 60(C), pages 254-264.
    20. Konstantinos Gkillas & Christoforos Konstantatos & Costas Siriopoulos, 2021. "Uncertainty Due to Infectious Diseases and Stock–Bond Correlation," Econometrics, MDPI, vol. 9(2), pages 1-18, April.
    21. Terrence August & Tunay I. Tunca, 2006. "Network Software Security and User Incentives," Management Science, INFORMS, vol. 52(11), pages 1703-1720, November.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0012594. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.