Inferring mobile phone users’ home location, i.e., assigning a location in space to a user based on data generated by the mobile phone network, is a central task in leveraging mobile phone data to study social and urban ...

In this paper, we present a proposal for Patients’ Mobile Monitoring. This framework enables the definition and generation of profiles, modules and communication structures between each of the measuring devices and the ...

In this paper, patient mobile monitoring enabling framework architecture is presented. To this end, biometric devices (e.g. glucometers, blood pressure meters) are used to send data to the mobile phone via technology such ...

Up-to-date information on different modes of travel to monitor transport traffic and evaluate rapid urban transport planning interventions is often lacking. Transport systems typically rely on traditional data sources ...

Today we have the opportunity without precedents to analyze human land use or mobility behavior in a city, country or even the globe. Some studies have analyzed existing data generated daily by mobile networks, mostly using ...

OBJECTIVES: Mobile phone interventions have been advocated for tuberculosis care, but little is known about access of target populations to mobile phones. We studied mobile phone access among patients with tuberculosis, ...

This paper makes use of an experiment to test the relationship between the actual average time students spend using their smartphones per day and academic performance. Differently from previous studies that rely on ...

The massive amounts of geolocation data collected from mobile phone records have sparked an ongoing effort to understand and predict the mobility patterns of human beings. In this work, we study the extent to which social ...

Estimates of health capacities in the context of the coronavirus disease 2019 (COVID-19) pandemic indicate that most low- and middle-income countries (LMICs) are not operationally ready to manage this health emergency. ...