iEpi: an end to end solution for collecting, conditioning and utilizing epidemiologically relevant data

Authors:
Mohammad Hashemian;Dylan Knowles;Jonathan Calver;Weicheng Qian;Michael. C. Bullock;Scott Bell;Regan L. Mandryk;Nathaniel Osgood;Kevin G. Stanley
Affiliations:
University of Saskatchewan, Saskatoon, SK, Canada;University of Saskatchewan, Saskatoon, SK, Canada;University of Saskatchewan, Saskatoon, SK, Canada;University of Saskatchewan, Saskatoon, SK, Canada;University of Saskatchewan, Saskatoon, SK, Canada;University of Saskatchewan, Saskatoon, SK, Canada;University of Saskatchewan, Saskatoon, SK, Canada;University of Saskatchewan, Saskatoon, SK, Canada;University of Saskatchewan, Saskatoon, SK, Canada
Venue:
Proceedings of the 2nd ACM international workshop on Pervasive Wireless Healthcare
Year:
2012

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Abstract

Smartphones have the potential to revolutionize health monitoring and delivery. Significant attention has been given to personal health devices and systems to help individuals and medical practitioners monitor health and treatment compliance. The data collected from these systems also has significant value to public health workers and epidemiologists. However, requirements for backend analysis and supplemental data differ between personal and public health applications. In this paper we describe iEpi, an end-to-end system for collecting, analyzing, and utilizing contextual microdata through smartphones for epidemiological and public health applications.