Browse our latest Epidemiology and Global Health articles

Ecological and evolutionary perspectives are critical to understand, predict, prevent, and treat malaria parasites that may spread to humans from our close primate relatives.

We provide a tutorial to use GAMLSS, applied using cohort data to study how risk factors may influence both the mean and variability of body mass index and mental health.

Patient outcomes, and the time spent by patients during hospital admission, showed considerable variation over the first year of the COVID-19 pandemic.

A machine learning model could accurately estimate daily salt consumption in the general population and can be applied to countries lacking urine sample to compute the mean salt consumption at the population level.

Using genetics, it is possible to uncouple higher adiposity from its adverse metabolic effects and show that some obesity-associated conditions may benefit from treating the metabolic effects alone, whilst others may benefit more from weight loss.

Urinary metabolic signatures relate to adherence to the Mediterranean diet and ultra-processed food intake in childhood and reflect associations of these diet quality indicators with metabolic health.

While predators can clearly reduce mosquito populations by consumption, they can also have non-consumptive effects on mosquito body size and oviposition behavior, and these effects on vector traits can influence infectious disease dynamics.

Differences in patterns of social contact between settings have consequences for the spread and transmission of respiratory pathogens and the effectiveness of different measures aimed at their control.

X-ray phase-contrast tomography reveals pathology of capillaries in heart tissue from patients who succumbed to Covid-19, as well as alterations in the three-dimensional cardiac tissue structure.

A two-sample Mendelian randomization study suggested a potential causal relationship between HMGCR inhibition and the reduced risk of COVID-19 hospitalization.