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Public Goods Games in Disease Evolution and Spread

Author

Listed:
  • Christo Morison

    (Queen Mary University of London)

  • Małgorzata Fic

    (Max Planck Institute for Evolutionary Biology
    University of Würzburg)

  • Thomas Marcou

    (University of South Bohemia)

  • Javad Mohamadichamgavi

    (University of Warsaw)

  • Javier Redondo Antón

    (University of Turin)

  • Golsa Sayyar

    (University of Szeged)

  • Alexander Stein

    (Barts Cancer Institute, Queen Mary University of London)

  • Frank Bastian

    (University College Cork)

  • Hana Krakovská

    (Medical University of Vienna
    Complexity Science Hub Vienna)

  • Nandakishor Krishnan

    (HUN-REN Centre for Ecological Research
    Eötvös Loránd Universit)

  • Diogo L. Pires

    (City, University of London)

  • Mohammadreza Satouri

    (Delft University of Technology)

  • Frederik J. Thomsen

    (Delft University of Technology)

  • Kausutua Tjikundi

    (University of Turin
    ISI Foundation)

  • Wajid Ali

    (University of Liverpool)

Abstract

Cooperation arises in nature at every scale, from within cells to entire ecosystems. Public goods games (PGGs) are used to represent scenarios characterised by the conflict/dilemma between choosing cooperation as a socially optimal strategy and defection as an individually optimal strategy. Evolutionary game theory is often used to analyse the dynamics of behaviour emergence in this context. Here, we focus on PGGs arising in the disease modelling of cancer evolution and the spread of infectious diseases. We use these two systems as case studies for the development of the theory and applications of PGGs, which we succinctly review. We also posit that applications of evolutionary game theory to decision-making in cancer, such as interactions between a clinician and a tumour, can learn from the PGGs studied in epidemiology, where cooperative behaviours such as quarantine and vaccination compliance have been more thoroughly investigated. Furthermore, instances of cellular-level cooperation observed in cancers point to a corresponding area of potential interest for modellers of other diseases, be they viral, bacterial or otherwise. We aim to demonstrate the breadth of applicability of PGGs in disease modelling while providing a starting point for those interested in quantifying cooperation arising in healthcare.

Suggested Citation

  • Christo Morison & Małgorzata Fic & Thomas Marcou & Javad Mohamadichamgavi & Javier Redondo Antón & Golsa Sayyar & Alexander Stein & Frank Bastian & Hana Krakovská & Nandakishor Krishnan & Diogo L. Pir, 2025. "Public Goods Games in Disease Evolution and Spread," Dynamic Games and Applications, Springer, vol. 15(5), pages 1733-1749, November.
  • Handle: RePEc:spr:dyngam:v:15:y:2025:i:5:d:10.1007_s13235-025-00619-5
    DOI: 10.1007/s13235-025-00619-5
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