ArticleScientific reports2020
Decisions and disease: a mechanism for the evolution of cooperation.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Social dilemma of nonpharmaceutical interventions: Determinants of dynamic compliance and behavioral shifts.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Attitudinal analysis of vaccination effects to lead endemic phases.Scientific reports · 2023Article
- Dynamic Games of Social Distancing During an Epidemic: Analysis of Asymmetric Solutions.Dynamic games and applications · 2022Article
- An SIR-type epidemiological model that integrates social distancing as a dynamic law based on point prevalence and socio-behavioral factors.Scientific reports · 2021Article
- An epidemiological model with voluntary quarantine strategies governed by evolutionary game dynamics.Chaos, solitons, and fractals · 2021Article
- Mass Testing and Proactiveness Affect Epidemic Spreading.Journal of the Indian Institute of Science · 2021Review
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In numerous contexts, individuals may decide whether they take actions to mitigate the spread of disease, or not. Mitigating the spread of disease requires an individual to change their routine behaviours to benefit others, resulting in a 'disease dilemma' similar to the seminal prisoner's dilemma. In the classical prisoner's dilemma, evolutionary game dynamics predict that all individuals evolve to 'defect.' We have discovered that when the rate of cooperation within a population is directly linked to the rate of spread of the disease, cooperation evolves under certain conditions. For diseases which do not confer immunity to recovered individuals, if the time scale at which individuals receive accurate information regarding the disease is sufficiently rapid compared to the time scale at which the disease spreads, then cooperation emerges. Moreover, in the limit as mitigation measures become increasingly effective, the disease can be controlled; the number of infections tends to zero. It has been suggested that disease spreading models may also describe social and group dynamics, indicating that this mechanism for the evolution of cooperation may also apply in those contexts.
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Registered trials
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