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Interplay Between Risk Perception, Behavior, and COVID-19 Spread

Frontiers in Physics, vol. 10

Abstract

Pharmaceutical and non-pharmaceutical interventions (NPIs) have been crucial for controlling COVID-19. They are complemented by voluntary health-protective behavior, building a complex interplay between risk perception, behavior, and disease spread. We studied how voluntary health-protective behavior and vaccination willingness impact the long-term dynamics. We analyzed how different levels of mandatory NPIs determine how individuals use their leeway for voluntary actions. If mandatory NPIs are too weak, COVID-19 incidence will surge, implying high morbidity and mortality before individuals react; if they are too strong, one expects a rebound wave once restrictions are lifted, challenging the transition to endemicity. Conversely, moderate mandatory NPIs give individuals time and room to adapt their level of caution, mitigating disease spread effectively. When complemented with high vaccination rates, this also offers a robust way to limit the impacts of the Omicron variant of concern. Altogether, our work highlights the importance of appropriate mandatory NPIs to maximise the impact of individual voluntary actions in pandemic control.

Authors 11

  1. Max Planck Institute for Dynamics and Self-Organization

    Affiliation as printed

    Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

  2. Max Planck Institute for Dynamics and Self-Organization · Centre for Biotechnology and Bioengineering · University of Chile

    Affiliation as printed

    Centre for Biotechnology and Bioengineering, Universidad de Chile, Santiago, Chile

    Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

  3. Max Planck Institute for Dynamics and Self-Organization

    Affiliation as printed

    Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

  4. Max Planck Institute for Dynamics and Self-Organization

    Affiliation as printed

    Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

  5. Max Planck Institute for Dynamics and Self-Organization

    Affiliation as printed

    Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

  6. Max Planck Institute for Dynamics and Self-Organization

    Affiliation as printed

    Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

  7. RWTH Aachen University

    Affiliation as printed

    Chair of Communication Science, RWTH Aachen University, Aachen, Germany

  8. Utrecht University · University Medical Center Utrecht

    Affiliation as printed

    University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands

  9. Karlsruhe Institute of Technology

    Affiliation as printed

    Department of Sociology, Karlsruhe Institute of Technology, Karlsruhe, Germany

  10. Technische Universität Berlin

    Affiliation as printed

    Chair of Transport Systems Planning and Transport Telematics, Technische Universität Berlin, Berlin, Germany

  11. Viola Priesemann corresponding

    Max Planck Institute for Dynamics and Self-Organization · University of Göttingen

    Affiliation as printed

    Institute for the Dynamics of Complex Systems, University of Göttingen, Göttingen, Germany

    Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

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References 68