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Risk factors for SARS-CoV-2 infection in healthcare workers included caring for Covid-19 patients, Black or Asian ethnicity, and Covid-19-positive household contacts, whereas a bundle of PPE-related measures protected ICU staff.

A novel strategy to combat antimicrobial resistance has been identified by using vaccines and nanobodies to target specific extracellular proteins located on multiresistant bacterial plasmids.

The number and effects of mutations leading to full drug resistance crucially determine treatment failure probability and should be used to inform antimicrobial treatment strategies with regard to avoidance of resistance emergence.

Like two peas in a pod but not exactly alike, similar molecules targeting the same bacterial protein behave differently, requiring systems biology and target deconvolution to gain better comprehension.

Patterns of antibiotic use and the connectivity between wards are independently associated with the incidence of antimicrobial-resistant infections in hospital networks.

The attempt to manipulate a microbiome in planta to study the ecological consequences under field conditions leaves plants and their microbes surprisingly unimpressed.

Moving patients between wards and prescribing high levels of antibiotics increases the spread of bacterial infections that are resistant to treatment in hospitals.

Drug-resistance declines in the laboratory in an antibiotic stress-free environment, indicating that restricting antimicrobial usage in the clinics could be a useful policy.

A computational method for predicting evolutionary pathways to antimicrobial resistance, accounting for how epistatic interactions determine trajectories, is described.

Population-level antibiotic resistance correlates with the breadth of antibiotic use, that is, the proportion of people taking an antibiotic, better than with intensity of use the amount of use among users.