Fine-grain mobility data empirically quantify the propensity for human mixing to be indoors across the US and improve understanding of the relationship between the physical environment and infection risk in light of global change.

COVID-19 CG is an open source web resource that allows vaccine, therapeutics, and diagnostics developers to track SARS-CoV-2 mutations and lineages by location and time.

eLife has published a special issue containing articles that examine how cancer prevention, control, care and survivorship were impacted by the COVID-19 pandemic.

The function of the SARS-CoV-2 spike is controlled by allosterically modulating the dynamics of the receptor-binding domain.

An analysis of Australian case data demonstrates how the combined strategy of border measures, case targeted interventions, and social distancing effectively contained the first epidemic wave of COVID-19.

The COVID-19 pandemic has clearly demonstrated the need for a global system to monitor the dynamics of susceptibility and immunity, as well as infection, during epidemics and pandemics.

A claims-based retrospective cohort study shows that patients who used bisphosphonates between 01/01/2019 and 02/29/2020 had dramatically reduced odds of SARS-CoV-2 testing, COVID-19 diagnosis, and COVID-19-related hospitalizations during the initial surge of the COVID-19 pandemic in the US.

Predicting the pandemic potential of influenza viruses from genetic sequence data could transform pandemic risk assessment but progress towards this goal will require the integration of experimental work, computational tools, and virus surveillance.

The mathematical modeling approach disentangles the impacts of the COVID-19 pandemic on antibiotic resistance in Streptococcus pneumoniae in the community setting and identifies the three most plausible driving mechanisms responsible for the observed trends in invasive isolates and pneumococcal carriage.