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A Dynamic Model of Vaccine Compliance: How Fake News Undermined the Danish HPV Vaccine Program

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  • Peter Reinhard Hansen
  • Matthias Schmidtblaicher

Abstract

Increased vaccine hesitancy presents challenges to public health and undermines efforts to eradicate diseases such as measles, rubella, and polio. The decline is partly attributed to misconceptions that are shared on social media, such as the debunked association between vaccines and autism. Perhaps, more damaging to vaccine uptake are cases where trusted mainstream media run stories that exaggerate the risks associated with vaccines. It is important to understand the underlying causes of vaccine refusal, because these may be prevented, or countered, in a timely manner by educational campaigns. In this article, we develop a dynamic model of vaccine compliance that can help pinpoint events that disrupted vaccine compliance. We apply the framework to Danish HPV vaccine data, which experienced a sharp decline in compliance following the broadcast of a controversial TV documentary, and we show that media coverage significantly predicts vaccine uptake.

Suggested Citation

  • Peter Reinhard Hansen & Matthias Schmidtblaicher, 2021. "A Dynamic Model of Vaccine Compliance: How Fake News Undermined the Danish HPV Vaccine Program," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 259-271, January.
    • Handle: RePEc:taf:jnlbes:v:39:y:2021:i:1:p:259-271
    DOI: 10.1080/07350015.2019.1623045
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    Cited by:

    1. Giulietti, Corrado & Vlassopoulos, Michael & Zenou, Yves, 2021. "When Reality Bites: Local Deaths and Vaccine Take-Up," GLO Discussion Paper Series 999, Global Labor Organization (GLO).
    2. Cem Cakmakli & Yasin Simsek, 2023. "Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model," Papers 2301.13692, arXiv.org.
    3. Belmonte, A & Pickard, H, 2022. "Safe at Last? LATE Effects of a Mass Immunization Campaign on Households’ Economic Insecurity," CAGE Online Working Paper Series 604, Competitive Advantage in the Global Economy (CAGE).
    4. Eric A. Beutner & Yicong Lin & Andre Lucas, 2023. "Consistency, distributional convergence, and optimality of score-driven filters," Tinbergen Institute Discussion Papers 23-051/III, Tinbergen Institute.
    5. Blondel, Serge & Langot, François & Mueller, Judith E. & Sicsic, Jonathan, 2021. "Preferences and COVID-19 Vaccination Intentions," IZA Discussion Papers 14823, Institute of Labor Economics (IZA).
    6. Giulietti, Corrado & Vlassopoulos, Michael & Zenou, Yves, 2023. "When reality bites: Local deaths and vaccine take-up," European Economic Review, Elsevier, vol. 156(C).
    7. Andrea Guizzardi & Luca Vincenzo Ballestra & Enzo D’Innocenzo, 2024. "Reverse engineering the last-minute on-line pricing practices: an application to hotels," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 33(3), pages 943-971, July.

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