demonstration

Node view: a mHealth real-time infectious disease interface disease interface - 2014 ebola outbreak case study

Authors:

Solomon O. Abiola,

Eric Portman,

Henry Kautz,

E. Ray DorseyAuthors Info & Claims

UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers

Pages 297 - 300

https://doi.org/10.1145/2800835.2800851

Published: 07 September 2015 Publication History

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Abstract

We present a real-time interface which allows for contact tracing using ubiquitous sensors present in the Node smartphone application on Android phones. The initial application seeks to aid in the prevention of infectious diseases in Lagos, Nigeria through installing the application on up to 100 smartphones. In our demo we demonstrate how anonymous user IDs can be interrogated from a real-time dataset. Using this information a public policy maker or health worker can identify infected or at risk individuals immediately. Furthermore, they can notify such individuals if they are at risk. Lastly, future work will allow us to use this information to model the spread of an infectious disease in real-time with geospatial resolution not readily available in typical infectious disease models.

References

[1]

Abiola, S. Node: A Real Time Smartphone Big Data Application for Health Care Epidemiology. 2013.

Google Scholar

[2]

Johnson, S. The ghost map. Riverhead Books, New York, 2006.

Google Scholar

[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.

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Google Scholar

[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).

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Cited By

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Seberger JPatil SKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Us and Them (and It): Social Orientation, Privacy Concerns, and Expected Use of Pandemic-Tracking Apps in the United StatesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445485(1-19)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445485
Iyawa GOndiek COsakwe J(2020)mHealthSmart Medical Data Sensing and IoT Systems Design in Healthcare10.4018/978-1-7998-0261-7.ch001(1-21)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-0261-7.ch001
Wang JZhu RLiu SCai Z(2018)Node Location Privacy Protection Based on Differentially Private Grids in Industrial Wireless Sensor NetworksSensors10.3390/s1802041018:2(410)Online publication date: 31-Jan-2018
https://doi.org/10.3390/s18020410
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Index Terms

Node view: a mHealth real-time infectious disease interface disease interface - 2014 ebola outbreak case study
1. Applied computing
  1. Life and medical sciences
2. Human-centered computing

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Information

Published In

September 2015

1626 pages

ISBN:9781450335751

DOI:10.1145/2800835

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Hans Gellersen
Lancaster University, UK
,
Tanzeem Choudhury
Cornell University
,
Koji Yatani
Univerisity of Tokyo, JP

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

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Demonstration

Funding Sources

National Science Foundation

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UbiComp '15

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Yahoo! Japan
SIGMOBILE
FX Palo Alto Laboratory, Inc.
ACM
Rakuten Institute of Technology
Microsoft
Bell Labs
SIGCHI
Panasonic
Telefónica
ISTC-PC

UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

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Seberger JPatil SKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Us and Them (and It): Social Orientation, Privacy Concerns, and Expected Use of Pandemic-Tracking Apps in the United StatesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445485(1-19)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445485
Iyawa GOndiek COsakwe J(2020)mHealthSmart Medical Data Sensing and IoT Systems Design in Healthcare10.4018/978-1-7998-0261-7.ch001(1-21)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-0261-7.ch001
Wang JZhu RLiu SCai Z(2018)Node Location Privacy Protection Based on Differentially Private Grids in Industrial Wireless Sensor NetworksSensors10.3390/s1802041018:2(410)Online publication date: 31-Jan-2018
https://doi.org/10.3390/s18020410
Rivera-Julio Y(2017)Design of a Telemedicine Ubiquitous Architecture Based on the Smart Device mHealth Arduino 4GApplied Computer Sciences in Engineering10.1007/978-3-319-50880-1_30(345-356)Online publication date: 3-Jan-2017
https://doi.org/10.1007/978-3-319-50880-1_30
Rivera Julio Y(2016)Design ubiquitous architecture for telemedicine based on mhealth Arduino 4G LTE2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)10.1109/HealthCom.2016.7749440(1-6)Online publication date: Sep-2016
https://doi.org/10.1109/HealthCom.2016.7749440

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Recommendations

Experiences in mHealth for chronic disease management in 4 countries

On Clinical, Philosophical, Ethical and Behavioural Concepts for Personalised Insilico Medicine Supporting "Co-production of Health"

Mobile Clinical Decision Support Systems and Applications: A Literature and Commercial Review

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