The introduction of infectious pathogens to a simulated animal population leads to rapid evolutionary transitions in how individuals move in a social context, with distinct movement morphs evolved that make trade-offs between sociality and infection risk.

While flooding events may drive spillover transmission of Leptospira spp. through dispersal of the bacteria at low elevations, at higher elevations environmental risk is more localised and directly driven by the distribution of local rat reservoir populations.

An integrated empirical paradigm tracing immune strategies, underlying mechanisms and infection outcomes across reservoir host-pathogen systems, their specific ecological contexts, life-history features, and coevolutionary dynamics can reveal the actual patterns and processes underlying spillover in the wild.

Analysis of yellow fever burden in Africa illustrates the need to consider the effect of a changing climactic conditions when planning future intervention strategies.

Building on previous work (Pigott et al. 2014), estimates of areas of potential transmission of Ebola virus are revised and updated to provide a contemporary map for use by researchers and policymakers.

Regional meta-analysis enriches our understanding of zoonotic malaria in primate reservoirs in areas of Southeast Asia experiencing deforestation, with wider ecological implications for human disease risk in fragmented landscapes.

The role host and vector species play in pathogen transmission cycles is best quantified by integrating species' physiological and ecological competence.

We identify key strengths and limitations in use of viral genotyping and phenotyping to estimate pandemic risk from influenza A viruses, focusing on 3 traits, hemagglutinin binding specificity, hemagglutinin pH of activation, and polymerase complex efficiency.

Routine and campaign vaccination disruption in 2020 may lead to measles outbreaks and yellow fever burden increases in some countries, but is unlikely to greatly increase meningococcal A burden.

Understanding where future Ebola virus outbreaks may start and the changing nature of the populations living in these places is of critical importance in helping to prepare for future outbreaks.