Background Mathematical transmission models are increasingly used to guide public health
interventions for infectious diseases, particularly in the context of emerging pathogens; …

Mathematical modelling and statistical inference provide a framework to evaluate different
non-pharmaceutical and pharmaceutical interventions for the control of epidemics that has …

Emerging and re‐emerging tick‐borne diseases threaten public health and the wellbeing of
domestic animals and wildlife globally. The adoption of an evolutionary ecology framework …

The field of phylodynamics, which attempts to enhance our understanding of infectious
disease dynamics using pathogen phylogenies, has made great strides in the past decade …

Agent-based modelling (ABM) simulates Social-Ecological-Systems (SESs) based on the
decision-making and actions of individual actors or actor groups, their interactions with each …

Background Combination therapy is one of the most effective tools for limiting the
emergence of drug resistance in pathogens. Despite the widespread adoption of …

As a countermeasure to the SARS-CoV-2 pandemic, there has been swift development and
clinical trial assessment of candidate vaccines, with subsequent deployment as part of mass …

The threat of an influenza A virus pandemic stems from continual virus spillovers from
reservoir species, a tiny fraction of which spark sustained transmission in humans. To date …

Emerging infectious diseases increasingly threaten wildlife populations. Most studies focus
on managing short‐term epidemic properties, such as controlling early outbreaks. Predicting …

Modelling of infectious disease systems has entered a new era in which disease modellers
are increasingly turning to multiscale modelling to extend traditional modelling frameworks …