280 citations · 544 across the 16 of their papers we have counts for
19 papers
Correcting socioeconomic bias in mobile phone mobility estimates using multilevel regression and poststratification
Leo Ferres, Laetitia Gauvin
Call detail records (CDR) from mobile phone networks are widely used to study human mobility however CDR data from a single mobile operator are inherently biased because the observ…
Socioeconomic determinants of protective behaviors and contact patterns in the post-COVID-19 pandemic era: a cross-sectional study in Italy
Michele Tizzani, Laetitia Gauvin
Socioeconomic inequalities significantly influence infectious disease outcomes, as seen with COVID-19, but the pathways through which socioeconomic conditions affect transmission d…
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…
Estimating household contact matrices structure from easily collectable metadata
Lorenzo Dall'Amico, Jackie Kleynhans, Laetitia Gauvin +9
Contact matrices are a commonly adopted data representation, used to develop compartmental models for epidemic spreading, accounting for the contact heterogeneities across age grou…
Data-driven micromobility network planning for demand and safety
Pietro Folco, Laetitia Gauvin, Michele Tizzoni +1
Developing safe infrastructure for micromobility like bicycles or e-scooters is an efficient pathway towards climate-friendly, sustainable, and livable cities. However, urban micro…
weg2vec: Event embedding for temporal networks
Maddalena Torricelli, Márton Karsai, Laetitia Gauvin
Network embedding techniques are powerful to capture structural regularities in networks and to identify similarities between their local fabrics. However, conventional network emb…