TY - JOUR
T1 - Public Goods Games in Disease Evolution and Spread
AU - Morison, Christo
AU - Fic, Małgorzata
AU - Marcou, Thomas
AU - Redondo Antón, Javier
AU - Stein, Alexander
AU - Bastian, Frank
AU - Krakovská, Hana
AU - Satouri, Mohammadreza
AU - J. Thomsen, Frederik
AU - More Authors, null
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Cancer
KW - Epidemics
KW - Evolutionary game theory
KW - Public goods game
UR - http://www.scopus.com/inward/record.url?scp=85218143451&partnerID=8YFLogxK
U2 - 10.1007/s13235-025-00619-5
DO - 10.1007/s13235-025-00619-5
M3 - Article
AN - SCOPUS:85218143451
SN - 2153-0785
VL - 15
SP - 1733
EP - 1749
JO - Dynamic Games and Applications
JF - Dynamic Games and Applications
IS - 5
M1 - 030901
ER -