#walking #covid19 #Mobile Phone Data

Study: More people walked during the pandemic, but how much depended on their income level

Article in Boston.com about how COVID19 has affected our walking and exercise behaviors. Study: More people walked during the pandemic, but how much depended on their income level “I think mental and physical health have been hugely affected, and once again the most vulnerable populations are the ones suffering from this." Many people took up walking during the height of the pandemic last year, according to a recently released study from MIT. ...

#Segregation #Mobile phone data #Mobility

Mobility patterns are associated with experienced income segregation in large US cities

Authors: Esteban Moro, Dan Calacci, Xiaowen Dong & Alex Pentland. Publication: Nature Communications 12, 4633 (2021). Link Abstract: Traditional understanding of urban income segregation is largely based on static coarse grained residential patterns. However, these do not capture the income segregation experience implied by the rich social interactions that happen in places that may relate to individual choices, opportunities, and mobility behavior. Using a large-scale high-resolution mobility data set of 4. ...

#covid19 #walking #Mobile phone data

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

Authors: Ruth F. Hunter, Leandro Garcia, Thiago Herick de Sa, Belen Zapata-Diomedi, Christopher Millett, James Woodcock, Alex ’Sandy’ Pentland, and Esteban Moro Publication: Nature Communications (2021). Link Abstract: The COVID-19 pandemic is causing mass disruption to our daily lives. We integrate mobility data from mobile devices and area-level data to study the walking patterns of 1.62 million anonymous users in 10 metropolitan areas in the United States. The data covers the period from mid-February 2020 (pre-lockdown) to late June 2020 (easing of lockdown restrictions). ...

#covid19 #super-spreading #Mobile phone data

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

Authors: Alberto Aleta, David Martin-Corral, Michiel Bakker, Ana Pastore y Piontti, Marco Ajelli, Maria Litvinova, Matteo Chinazzi, Natalie E Dean,M. Elizabeth Halloran, Ira M Longini, Alex Pentland, Alessandro Vespignani, Yamir Moreno, Esteban Moro Publication: medRxiv (2020). Link Abstract: Detailed characterizations of SARS-CoV-2 transmission risk across different social settings can inform the design of targeted and less disruptive non-pharmaceutical interventions (NPI), yet these data have been lacking. Here we integrate real-time, anonymous and privacy-enhanced geolocalized mobility data with census and demographic data in the New York City and Seattle metropolitan areas to build a detailed agent-based model of SARS-CoV-2 transmission. ...

#Netmob #Mobile Phone data #Conferences

Netmob 2019

Another edition of Netmob is happening this year 2019. NetMob is the primary conference in the analysis of mobile phone datasets in social, urban, societal and industrial problems. Previous editions in Boston and Milano brought together more than 250 researchers, practitioners and decision-makers from more 140 institutions and 30 countries. I had the pleasure to organize the 2015 edition and it was a blast to put together so much interesting talks, people, projects. ...

#Temporal Networks #Social Networks #Mobile Phone Data

Temporal patterns behind the strength of persistent ties

Authors: Henry Navarro, Giovanna Miritello, Arturo Canales, Esteban Moro Journal: EPJ Data Science (2017) 6:31 LINK Abstract: Social networks are made out of strong and weak ties having very different structural and dynamical properties. But what features of human interaction build a strong tie? Here we approach this question from a practical way by finding what are the properties of social interactions that make ties more persistent and thus stronger to maintain social interactions in the future. ...