3 papers
cs.SI2026
Empirical Trajectory Sparsity Biases Mobility-Informed Epidemic Modeling
Federico Delussu, Francisco Barreras, Yuan Liao +2
GPS mobility data are increasingly used in epidemic modeling, allowing the construction of co-location networks or population flows. These trajectories typically exhibit high tempo…
physics.soc-ph2026
Urban mobility enables deprivation bubble breaking in Indian and Mexican cities
Yuan Liao, Federico Delussu, Sílvia de Sojo +2
Urban deprivation is traditionally measured using static, residence-based indicators, capturing the socioeconomic, demographic, and spatial conditions of neighborhoods. However, th…
physics.soc-ph2023
The limits of human mobility traces to predict the spread of COVID-19
Federico Delussu, Michele Tizzoni, Laetitia Gauvin
Mobile phone data have been widely used to model the spread of COVID-19, however, quantifying and comparing their predictive value across different settings is challenging. Their q…