  We review research papers which use game theory to model the decision making
of individuals during an epidemic, attempting to classify the literature and
identify the emerging trends in this field. We show that the literature can be
classified based on (i) type of population modelling (compartmental or
network-based), (ii) frequency of the game (non-iterative or iterative), and
(iii) type of strategy adoption (self-evaluation or imitation). We highlight
that the choice of model depends on many factors such as the type of immunity
the disease confers, the type of immunity the vaccine confers, and size of
population and level of mixing therein. We show that while early studies used
compartmental modelling with self-evaluation based strategy adoption, the
recent trend is to use network-based modelling with imitation-based strategy
adoption. Our review indicates that game theory continues to be an effective
tool to model intervention (vaccination or social distancing) decision-making
by individuals.
