Avoiding physical contact is regarded as one of the safest and most advisable strategies to
follow to reduce pathogen spread. The flip side of this approach is that a lack of social …

Transmission rates in epidemic outbreaks may vary over time depending on the societal
response. Non-pharmacological mitigation strategies such as social distancing and the …

Background Existing epidemiological models have largely tended to neglect the impact of
individual behaviour on the dynamics of diseases. However, awareness of the presence of …

The course of the COVID-19 pandemic has given rise to many disease trends at various
population scales, ranging from local to global. Understanding these trends and the …

Mathematical models of the interplay between disease dynamics and human behavioural
dynamics can improve our understanding of how diseases spread when individuals adapt …

Modeling human behavior within mathematical models of infectious diseases is a key
component to understand and control disease spread. We present a mathematical …

Social interactions and social preferences play a central role in public health domains. In the
face of a pandemic, individuals adjust their behavior, whereas in SIR models infection rates …

Uncoordinated human behavioral responses triggered by risk perception can alter the
evolution of an epidemic outbreak further and beyond control measures imposed by public …

Background. After several waves of spread of the COVID‐19 pandemic, countries around
the world are struggling to regain their economies by slowly lifting mobility restrictions and …

Why do most simulations using the SIR model of epidemics conclude that the COVID-19
breakout will end up with a significant fraction of the population infected (> 60%)? Are there …