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.

Maps defining environmental risk of the leishmaniases provide insights into the ecology of these diseases and identify regions to target public health measures and inform future burden estimates.

In three different regions including the United States, China, and Africa, virus discoveries were strongly associated with GDP and land use, but were less likely to be associated with climate and biodiversity variables than at a global scale.

Analyses combining genomic and epidemiological data of Mycobacterium bovis, which causes bovine tuberculosis, revealed evidence of transmission within and between cattle and badger populations.

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.

Variation in SARS-CoV-2 viral kinetics are partly explained by an individual's immune state and the infecting variant, but substantial interpersonal variation limits the reliability of isolation policies tailored to an individual's vaccination status.

Data-driven methods predict over 35 mosquitoes are potential vectors of Zika virus, suggesting a larger geographic area and a greater human population is at risk of infection.

An optimized 3D fluorescence co-localization method is a useful toolkit to obtain cellular 3D separations between green and red labeled protein domains with nanometer-scale accuracy using light microscopy.

WaveMAP is a novel approach that combines nonlinear dimensionality reduction with graph clustering on extracellular waveforms to reveal previously obscured cell type diversity in monkey cortex.