Node view: A mhealth real-time infectious disease interface disease interface - 2014 ebola outbreak case study

UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers

Volumn , Issue , 2015, Pages 297-300

  Abiola, Solomon O ^a   Portman, Eric ^a   Kautz, Henry ^a   Dorsey, E Ray ^a  

^a UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

Author keywords

Big data; Health; Mhealth; Mobile applications; Mobile sensing; Mobility models; Persuasive applications; Telemedicine; Visualization

Indexed keywords

BIG DATA; DATA VISUALIZATION; FLOW VISUALIZATION; HEALTH; HEALTH RISKS; INFORMATION USE; SMARTPHONES; TELEMEDICINE; UBIQUITOUS COMPUTING; WEARABLE COMPUTERS; WEARABLE TECHNOLOGY;

MHEALTH; MOBILE APPLICATIONS; MOBILE SENSING; MOBILITY MODEL; PERSUASIVE APPLICATIONS;

DISEASES;

EID: 84962519044     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2800835.2800851     Document Type: Conference Paper

References (4)

1. Abiola, S. Node: A Real Time Smartphone Big Data Application for Health Care Epidemiology. 2013.
2. Johnson, S. The ghost map. Riverhead Books, New York, 2006.
3. Salathe, M., Kazandjieva, M., Lee, J., Levis, P., Feldman, M. And Jones, J. A high-resolution human contact network for infectious disease transmission. Proceedings of the National Academy of Sciences 107, 51 (2010), 22020-22025.
4. Wesolowski, A., Buckee, C., Bengtsson, L., Wetter, E., Lu, X. And Tatem, A. Commentary: Containing the Ebola Outbreak-The Potential and Challenge of Mobile Network Data. PLoS Curr, (2014).