The digital world is generating data at a staggering and still increasing rate. While these “big
data” have unlocked novel opportunities to understand public health, they hold still greater …

The deployment of smartphone-operated, non-station-based bicycle fleets (“dockless” or
“free-floating” bikeshare) represents a new generation of bikesharing. Users locate bikes in …

Big Data has increasingly been promoted as a revolutionary development in the future of
science, including epidemiology. However, the definition and implications of Big Data for …

Background Bike sharing systems have potential to substantially boost active transportation
levels (and consequent physical and mental health) in urban populations. We explored …

This report presents a new implementation of the Besag-York-Mollié (BYM) model in Stan, a
probabilistic programming platform which does full Bayesian inference using Hamiltonian …

Importance Research has been limited on the incidence, mechanisms, etiology, and
treatment of symptoms that require palliation in patients with terminal cancer. Bowel …

Public health research has shown that neighborhood conditions are associated with health
behaviors and outcomes. Systematic neighborhood audits have helped researchers …

Background: Phthalate exposures are hypothesized to increase obesity; however, prior
research has been largely cross-sectional. Objective: We evaluated associations between …

Neighborhood physical disorder is thought to affect mental and physical health, but it has
been difficult to measure objectively and reliably across large geographical areas or multiple …

The present commentary discusses how social media big data could be used in mental
health research to assess the impact of major global crises such as the COVID-19 …