Toward an Ethically Founded Framework for the Use of Mobile Phone Call Detail Records in Health Research
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[1] Paul Ohm. Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization , 2009 .
[2] David L. Smith,et al. Travel risk, malaria importation and malaria transmission in Zanzibar , 2011, Scientific reports.
[3] Alejo Salles,et al. Analyzing the spread of chagas disease with mobile phone data , 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
[4] Lenka Pitonakova,et al. Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake , 2016, PLoS currents.
[5] D. Dittrich,et al. The Menlo Report: Ethical Principles Guiding Information and Communication Technology Research , 2012 .
[6] J. Gaudart,et al. Using Mobile Phone Data to Predict the Spatial Spread of Cholera , 2015, Scientific Reports.
[7] Adam Greenfield,et al. Radical Technologies: The Design of Everyday Life , 2017 .
[8] Etienne Huens,et al. Data for Development: the D4D Challenge on Mobile Phone Data , 2012, ArXiv.
[9] Hui Zang,et al. Anonymization of location data does not work: a large-scale measurement study , 2011, MobiCom.
[10] Kenth Engø-Monsen,et al. Impact of human mobility on the emergence of dengue epidemics in Pakistan , 2015, Proceedings of the National Academy of Sciences.
[11] K. O’Hara,et al. The Anonymisation Decision-Making Framework , 2016 .
[12] Mhairi Aitken,et al. Public responses to the sharing and linkage of health data for research purposes: a systematic review and thematic synthesis of qualitative studies , 2016, BMC medical ethics.
[13] Sharon Heys,et al. Challenges and Potential Opportunities of Mobile Phone Call Detail Records in Health Research: Review , 2018, JMIR mHealth and uHealth.
[14] Public Views on Using Mobile Phone Call Detail Records in Health Research: Qualitative Study , 2019, JMIR mHealth and uHealth.
[15] A. Bolignano,et al. A dynamic urban air pollution population exposure assessment study using model and population density data derived by mobile phone traffic , 2016 .
[16] Arvind Narayanan,et al. No silver bullet: De-identification still doesn't work , 2014 .
[17] Stéphane Bressan,et al. Not So Unique in the Crowd: a Simple and Effective Algorithm for Anonymizing Location Data , 2014, PIR@SIGIR.