A Smartphone-based System for Population-scale Anonymized Public Health Data Collection and Intervention

被引：8

作者：

Clarke, Andrew ^{[1
]}

Steele, Robert ^{[1
]}

机构：

[1] Univ Sydney, Discipline Hlth Informat, Sydney, NSW 2006, Australia

来源：

2014 47TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS) | 2014年

关键词：

D O I：

10.1109/HICSS.2014.363

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 multiparty flexible approach to participatory data submission and evaluate its privacy properties at large scale.

引用

页码：2908 / 2917

页数：10

共 21 条

[1]

ABS, 2011, CENS COMM PROF SYDN

[2]

Agir B., 2012, ADAPTIVE PERSONALIZE

[3]

[Anonymous], 2010, P 8 INT C MOB SYST A

[4]

Austroads, AUSTR CYCL PART

[5]

Christin Delphine, 2010, 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), P847, DOI 10.1109/PERCOMW.2010.5470559

[6]

Clarke Andrew, 2011, Proceedings of the 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), P395, DOI 10.1109/ISSNIP.2011.6146582

[7]

Clarke A, 2012, IEEE ENG MED BIO, P2158, DOI 10.1109/EMBC.2012.6346388

[8]

Cornelius C, 2008, MOBISYS'08: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS, APPLICATIONS, AND SERVICES, P211

[9]

Ganti R., 2012, MOBILE UBIQUITOUS SY, P197

[10]

Haksoo Choi, 2011, Secure Data Management. Proceedings 8th VLDB Workshop (SDM2011), P85, DOI 10.1007/978-3-642-23556-6_6

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