activity
20162025
most citedMobile phone data and COVID-19: Missing an opportunity?

106 citations · 161 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SI2025

HoWDe: a validated algorithm for Home and Work location Detection

Sílvia De Sojo, Lorenzo Lucchini, Ollin D. Langle-Chimal +2

Smartphone location data have become a key resource for understanding urban mobility, yet extracting actionable insights requires robust and reproducible preprocessing pipelines. A…

physics.soc-ph2023★ 9 cited

Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries

Lorenzo Lucchini, Ollin Langle-Chimal, Lorenzo Candeago +6

Mobile phone data have played a key role in quantifying human mobility during the COVID-19 pandemic. Existing studies on mobility patterns have primarily focused on regional aggreg…

physics.soc-ph2021★ 5 cited

Location Data Reveals Disproportionate Disaster Impact Amongst the Poor: A Case Study of the 2017 Puebla Earthquake Using Mobilkit

Takahiro Yabe, Nicholas K W Jones, Nancy Lozano-Gracia +4

Location data obtained from smartphones is increasingly finding use cases in disaster risk management. Where traditionally, CDR has provided the predominant digital footprint for h…

physics.soc-ph2020★ 37 cited

Uncovering socioeconomic gaps in mobility reduction during the COVID-19 pandemic using location data

Samuel P. Fraiberger, Pablo Astudillo, Lorenzo Candeago +8

Using smartphone location data from Colombia, Mexico, and Indonesia, we investigate how non-pharmaceutical policy interventions intended to mitigate the spread of the COVID-19 pand…

cs.CY2020★ 106 cited

Mobile phone data and COVID-19: Missing an opportunity?

Nuria Oliver, Emmanuel Letouzé, Harald Sterly +21

This paper describes how mobile phone data can guide government and public health authorities in determining the best course of action to control the COVID-19 pandemic and in asses…

stat.ML2016★ 4 cited

Enhancing Transparency and Control when Drawing Data-Driven Inferences about Individuals

Daizhuo Chen, Samuel P. Fraiberger, Robert Moakler +1

Recent studies have shown that information disclosed on social network sites (such as Facebook) can be used to predict personal characteristics with surprisingly high accuracy. In…