Influenza surveillance and forecast with smartphone sensors

Sang Hoon Lee, Yunmook Nah, Lynn Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we introduce an influenza surveillance and forecast system that can track the proliferation of influenza and predict potential infections by analyzing smartphone sensor readings. While previous studies focus on the social connectivity to deduce proliferation paths, we investigate physical contacts and their surrounding features including the staying time of these contacts, the human density and the openness of the space, and the infection status of each individual. By using a smartphone equipped with various sensors we can estimate the infection status of its owner as well as the surrounding features based on the analysis of the envelope of incoming sound and the mobility history of the owner. A surveillance server, which aggregates the information from multiple smartphones, monitors the infection status of influenza and ranks both the high risk persons and the influential persons that have to be vaccinated promptly. To evaluate the performance of our system we model the proliferation of influenza by applying both an influenza infection model and a community mobility model to mobile agents in NS-2 simulator. The simulation results show that the forecast accuracy of our system is 90.2% while the accuracy of forecast based on the social connectivity alone is 75.3%. By using the proliferation forecast our system can reveal influential persons, reducing 33.5% of infections by vaccinating only 6% of the entire group.

Original languageEnglish
Title of host publication16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479921119
DOIs
Publication statusPublished - 2013 Jan 1
Event16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2013 - Paderborn, Germany
Duration: 2013 Jun 192013 Jun 21

Other

Other16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2013
CountryGermany
CityPaderborn
Period13/6/1913/6/21

Fingerprint

Influenza
Smartphones
Surveillance
Infection
Forecast
Proliferation
Sensor
Sensors
Person
Mobile agents
Connectivity
Servers
Simulators
Acoustic waves
Contact
Mobility Model
Mobile Agent
Envelope
Deduce
Monitor

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

Cite this

Lee, S. H., Nah, Y., & Choi, L. (2013). Influenza surveillance and forecast with smartphone sensors. In 16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2013 [6913227] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISORC.2013.6913227

Influenza surveillance and forecast with smartphone sensors. / Lee, Sang Hoon; Nah, Yunmook; Choi, Lynn.

16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. 6913227.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lee, SH, Nah, Y & Choi, L 2013, Influenza surveillance and forecast with smartphone sensors. in 16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2013., 6913227, Institute of Electrical and Electronics Engineers Inc., 16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2013, Paderborn, Germany, 13/6/19. https://doi.org/10.1109/ISORC.2013.6913227
Lee SH, Nah Y, Choi L. Influenza surveillance and forecast with smartphone sensors. In 16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2013. Institute of Electrical and Electronics Engineers Inc. 2013. 6913227 https://doi.org/10.1109/ISORC.2013.6913227
Lee, Sang Hoon ; Nah, Yunmook ; Choi, Lynn. / Influenza surveillance and forecast with smartphone sensors. 16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2013. Institute of Electrical and Electronics Engineers Inc., 2013.
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