Mathematical models represent a powerful tool for investigating the dynamics of human
infection diseases, providing useful predictions about the spread of a disease and the …

Beyond control measures imposed by public authorities, human behavioral changes can be
triggered by uncoordinated responses driven by the risk perception of an emerging …

This volume summarizes the state-of-the-art in the fast growing research area of modeling
the influence of information-driven human behavior on the spread and control of infectious …

We review research studies which use game theory to model the decision-making of
individuals during an epidemic, attempting to classify the literature and identify the emerging …

Spontaneous behavioural responses of individuals to epidemics are a relevant factor in the
understanding of infection dynamics. In this work, we consider a vaccine–preventable …

In the mathematical epidemiology community, there is an increasing interest in shaping the
complex interplay between human behaviour and disease spreading. We give a contribution …

We present here a set of prototypical mechanisms aimed at modeling the social adaptation
and response triggered in the population by the knowledge of the spreading of an infectious …

In contemporary society, social networks accelerate decision dynamics causing a rapid
switch of opinions in a number of fields, including the prevention of infectious diseases by …

We argue that the spread of unhealthy behaviour shows marked similarities with infectious
diseases. It is therefore interesting and challenging to use infectious disease methodologies …

We study the propagation of a disease in a population where agents are characterized by
their awareness level, representing the measures they take to avoid the infection. We …