This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (981) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (113)

Published on in Vol 6, No 7 (2018): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9974, first published .
Challenges and Potential Opportunities of Mobile Phone Call Detail Records in Health Research: Review

Challenges and Potential Opportunities of Mobile Phone Call Detail Records in Health Research: Review

Challenges and Potential Opportunities of Mobile Phone Call Detail Records in Health Research: Review

Authors of this article:

Kerina Helen Jones1 Author Orcid Image ;   Helen Daniels1 Author Orcid Image ;   Sharon Heys1 Author Orcid Image ;   David Vincent Ford1 Author Orcid Image
Article Authors Cited by (25) Tweetations (6) Metrics

Journals

  1. Klimek R. Towards Recognising Individual Behaviours from Pervasive Mobile Datasets in Urban Spaces. Sustainability 2019;11(6):1563 View
  2. Aubourg T, Demongeot J, Renard F, Provost H, Vuillerme N. Association between social asymmetry and depression in older adults: A phone Call Detail Records analysis. Scientific Reports 2019;9(1) View
  3. Cortes-Polo D, Gil L, Calle-Cancho J, Gonzalez-Sanchez J. A Novel Methodology Based on Orthogonal Projections for a Mobile Network Data Set Analysis. IEEE Access 2019;7:158007 View
  4. Gao J, Zhang Y, Zhou T. Computational socioeconomics. Physics Reports 2019;817:1 View
  5. Aubourg T, Demongeot J, Provost H, Vuillerme N. Circadian Rhythms in the Telephone Calls of Older Adults: Observational Descriptive Study. JMIR mHealth and uHealth 2020;8(2):e12452 View
  6. Jones K, Daniels H, Heys S, Ford D. Public Views on Using Mobile Phone Call Detail Records in Health Research: Qualitative Study. JMIR mHealth and uHealth 2019;7(1):e11730 View
  7. Jones K, Daniels H, Heys S, Ford D. Toward an Ethically Founded Framework for the Use of Mobile Phone Call Detail Records in Health Research. JMIR mHealth and uHealth 2019;7(3):e11969 View
  8. Aubourg T, Demongeot J, Provost H, Vuillerme N. Exploitation of Outgoing and Incoming Telephone Calls in the Context of Circadian Rhythms of Social Activity Among Elderly People: Observational Descriptive Study. JMIR mHealth and uHealth 2020;8(11):e13535 View
  9. Carrillo M, Kroeger A, Cardenas Sanchez R, Diaz Monsalve S, Runge-Ranzinger S. The use of mobile phones for the prevention and control of arboviral diseases: a scoping review. BMC Public Health 2021;21(1) View
  10. Donaghy J, Danyluk M, Ross T, Krishna B, Farber J. Big Data Impacting Dynamic Food Safety Risk Management in the Food Chain. Frontiers in Microbiology 2021;12 View
  11. Green D, Moszczynski M, Asbah S, Morgan C, Klyn B, Foutry G, Ndira S, Selman N, Monawe M, Likaka A, Sibande R, Smith T. Using mobile phone data for epidemic response in low resource settings—A case study of COVID-19 in Malawi. Data & Policy 2021;3 View
  12. Jiao H, Xiao M. Delineating Urban Community Life Circles for Large Chinese Cities Based on Mobile Phone Data and POI Data—The Case of Wuhan. ISPRS International Journal of Geo-Information 2022;11(11):548 View
  13. Keddy K, Saha S, Kariuki S, Kalule J, Qamar F, Haq Z, Okeke I. Using big data and mobile health to manage diarrhoeal disease in children in low-income and middle-income countries: societal barriers and ethical implications. The Lancet Infectious Diseases 2022;22(5):e130 View
  14. Ghaffari M, Srinivasan A, Liu X, Chakraborty S. High-resolution home location prediction from Twitter activities using consensus deep learning. Social Network Analysis and Mining 2021;11(1) View
  15. Sekandi J, Murray K, Berryman C, Davis-Olwell P, Hurst C, Kakaire R, Kiwanuka N, Whalen C, Mwaka E. 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 2022;11(1):e35062 View
  16. Cortes-Polo D, Jimenez L, Paoletti M, Calle-Cancho J, Rico-Gallego J. Orthogonal projection for anomaly detection in networking datasets. Journal of Ambient Intelligence and Humanized Computing 2023;14(6):7957 View
  17. Dias V, Fernando L, Lin Y, Frias-Martinez V, Raschid L. Framework to Study Migration Decisions Using Call Detail Record (CDR) Data. IEEE Transactions on Computational Social Systems 2023;10(5):2725 View
  18. Washington V, Guikema S, Mondisa J, Misra A. A data‐driven method for identifying the locations of hurricane evacuations from mobile phone location data. Risk Analysis 2024;44(2):390 View
  19. Rennie S, Atuire C, Mtande T, Jaoko W, Litewka S, Juengst E, Moodley K. Public health research using cell phone derived mobility data in sub-Saharan Africa: Ethical issues. South African Journal of Science 2023;119(5/6) View
  20. Reeping P, Gobaud A, Morrison C, Branas C. The Effect of Gun-Free School Zones on Crimes Committed with a Firearm in Saint Louis, Missouri. Journal of Urban Health 2023;100(6):1118 View
  21. Chidean M, Jiménez Gil L, Carmona-Murillo J, Cortés-Polo D. Information theory based clustering of cellular network usage data for the identification of representative urban areas. Digital Communications and Networks 2023 View

Books/Policy Documents

  1. Karakostas B. Data Science Advancements in Pandemic and Outbreak Management. View
  2. Semassel I, Ben Yahia S. 12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”. View
  3. Makinde O. Health and Medical Geography in Africa. View