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A smartphone-based system for population-scale anonymized public health data collection and intervention

conference contribution
posted on 06.12.2017, 00:00 by A Clarke, Robert Steele
The wide availability and sophisticated functionalities of current mobile devices or smartphones can provide a new form of data collection capability relevant to public health. However, current data that is collected is typically siloed on individual devices and/or specific proprietary systems, only intended for individual use, limiting possible utilization for public health purposes. Additionally, the current aggregate data collection approaches do not incorporate key public health components such as support for interventions and demographic data. To address these limitations, in this paper we introduce and evaluate a system to provide aggregate population health data via utilizing smartphone capabilities, whilst fully maintaining the anonymity and privacy of each individual. In this paper we provide a detailed architecture, a method for local processing of aggregate population health data utilizing adaptive privacy thresholds to create a multi-party flexible approach to participatory data submission and evaluate its privacy properties at large scale.

History

Start Page

2908

End Page

2917

Number of Pages

10

Start Date

01/01/2014

ISBN-13

9781479925049

Location

Waikoloa, HI, USA

Publisher

IEEE Computer Society

Place of Publication

Piscataway, NJ, USA

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

School of Engineering and Technology (2013- ); TBA Research Institute; University of Sydney;

Era Eligible

Yes

Name of Conference

Hawaii International Conference on System Sciences