Epidemic · Social Urban Networks Lab

Epidemic

Epidemic

Behavioral changes during the COVID-19 pandemic decreased income diversity of urban encounters

Call detail record aggregation methodology impacts infectious disease models informed by human mobility

City mobility patterns during the COVID-19 pandemic: analysis of a global natural experiment

Effect of COVID-19 response policies on walking behavior in US cities

Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy

Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility data

Harnessing mobility data to capture changing work from home behaviours between censuses

Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19

Population mobility data provides meaningful indicators of fast food intake and diet-related diseases in diverse populations

Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas

Social media sensors as early signals of influenza outbreaks at scale

Temporal clustering of social interactions trades-off disease spreading and knowledge diffusion

The unequal effects of the health–economy trade-off during the COVID-19 pandemic