In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

The recent coronavirus disease (COVID-19) outbreak has dramatically increased the public
awareness and appreciation of the utility of dynamic models. At the same time, the …

Accurate estimation of the parameters characterising infectious disease transmission is vital
for optimising control interventions during epidemics. A valuable metric for assessing the …

A recent manuscript (Ferguson et al. in Impact of non-pharmaceutical interventions (NPIs) to
reduce COVID-19 mortality and healthcare demand, Imperial College COVID-19 Response …

Networks form the backbone of many complex systems, ranging from the Internet to human
societies. Accordingly, not only is the range of our interactions limited and thus best …

Infectious disease outbreaks recapitulate biology: they emerge from the multi-level
interaction of hosts, pathogens, and environment. Therefore, outbreak forecasting requires …

Reaction–diffusion processes have been widely used to study dynamical processes in
epidemics,–and ecology in networked metapopulations. In the context of epidemics, reaction …

Epidemic containment is a major concern when confronting large-scale infections in
complex networks. Many studies have been devoted to analytically understand how to …

We study allocation of COVID-19 vaccines to individuals based on the structural properties
of their underlying social contact network. Even optimistic estimates suggest that most …

The dominant approach to decision-making in public health policy for infectious diseases
relies heavily on expert opinion, which often applies empirical evidence to policy questions …