ArticleFrontiers in public health2015
Mobile Network Data for Public Health: Opportunities and Challenges.
Article in Frontiers in public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
16 citing papers in PubMed.
- Evaluating tuberculosis service accessibility in Pakistan by analyzing population movement patterns from telecom mobility and survey data.BMC global and public health · 2026Article
- Pharos: a mobile GIS application for network assessment and ground-truth mapping to support mHealth study design in low-resource settings.International journal of geographical information science : IJGIS · 2026Article
- Mobile Phone Data: A Survey of Techniques, Features, and Applications.Sensors (Basel, Switzerland) · 2023Review
- Sustaining self-restraint until the middle of the COVID-19 pandemic in Tokyo.Scientific reports · 2022Article
- Day-to-day intrapersonal variability in mobility patterns and association with perceived stress: A cross-sectional study using GPS from 122 individuals in three European cities.SSM - population health · 2022Article
- Ethical, Legal, and Sociocultural Issues in the Use of Mobile Technologies and Call Detail Records Data for Public Health in the East African Region: Scoping Review.Interactive journal of medical research · 2022Article
- Exploring time evolution characteristics of the collaborative mode in emergency information release of public health emergencies: A network analysis of response to COVID-19 from the central government of China.Frontiers in public health · 2022Article
- Is there enough trust for the smart city? exploring acceptance for use of mobile phone data in oslo and tallinn.Technological forecasting and social change · 2020Article
- Time-aggregated mobile phone mobility data are sufficient for modelling influenza spread: the case of Bangladesh.Journal of the Royal Society, Interface · 2020Article
- Perceptions and experiences of outdoor occupational workers using digital devices for geospatial biometeorological monitoring.International journal of biometeorology · 2020Article
- Forty-two years of responding to Ebola virus outbreaks in Sub-Saharan Africa: a review.BMJ global health · 2020Review
- On the privacy-conscientious use of mobile phone data.Scientific data · 2018Article
- Article
- Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors.EPJ data science · 2017Article
- Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake.PLoS currents · 2016Article
- Mobile Phones as a Medium of Mental Health Care Service Delivery: Perspectives and Barriers among Patients with Severe Mental Illness.Indian journal of psychological medicineArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ubiquity of mobile phones worldwide is generating an unprecedented amount of human behavioral data both at an individual and aggregated levels. The study of this data as a rich source of information about human behavior emerged almost a decade ago. Since then, it has grown into a fertile area of research named computational social sciences with a wide variety of applications in different fields such as social networks, urban and transport planning, economic development, emergency relief, and, recently, public health. In this paper, we briefly describe the state of the art on using mobile phone data for public health, and present the opportunities and challenges that this kind of data presents for public health.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.