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

Philipp Dönges, Joel Wagner, Sebastian Contreras, Emil N. Iftekhar, Simon Bauer, Sebastian B. Mohr, Jonas Dehning, André Calero Valdez, Mirjam Kretzschmar, Michael Mäs, Kai Nagel, Viola Priesemann*

*Corresponding author for this work

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.

Original languageEnglish
Article number842180
JournalFrontiers in Physics
Volume10
ISSN2296-424X
DOIs
Publication statusPublished - 15.02.2022

Funding

Open Access publication has been enabled by the Max-Planck-Society. Authors with affiliation “1” acknowledge support from the Max-Planck-Society. SC acknowledges support from the Centre for Biotechnology and Bioengineering—CeBiB (PIA project FB0001, ANID, Chile). SB and SM were financially supported by the German Federal Ministry of Education and Research (BMBF) as part of the Network University Medicine (NUM), project egePan, funding code: 01KX2021. AC recieved funding from the Digital Society research program funded by the Ministry of Culture and Science of the German State of North Rhine-Westphalia. MK acknowledges support from the Netherlands Organisation for Health Research and Development (ZonMw), funding code: 91216062, and from the European Union’s Horizon 2020 research and innovation program under grant agreement No 101003480 (Project CORESMA). KN acknowledges support by the German Federal Ministry of Education and Research (BMBF) for the MODUS-COVID project, funding code: 01KX2022A.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  4. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  5. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  6. SDG 13 - Climate Action
    SDG 13 Climate Action
  7. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

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