Warning and detection system for epidemic disease

Minsung Kim; Joon Yeop Lee; Hwangnam Kim

doi:10.1109/ICTC.2016.7763517

Warning and detection system for epidemic disease

Minsung Kim
, Joon Yeop Lee
, Hwangnam Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Epidemic diseases have repeatedly troubled mankind. With the Zika virus threatening societies around the whole world in recent years, the importance of epidemic disease control is greater than ever. We propose a warning and detection system for epidemic diseases. In our work, we designed the system and algorithm using GPS to prevent disease infection at the source and international propagation. The system was divided into 3 parts: The control center of the epidemic disease, the traveler's smartphone app, and the GPS log analyzer at airports. The control center distributes epidemic disease information, the app keeps track of the current location (GPS) and presents warning messages if necessary, and the analyzer detects people who are likely to be infected. The validity and performance of the system were examined through experiments. To confirm the accuracy of the system, the experiment was conducted with different scenarios considering practical application.

Original language	English
Title of host publication	2016 International Conference on Information and Communication Technology Convergence, ICTC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	478-483
Number of pages	6
ISBN (Electronic)	9781509013258
DOIs	https://doi.org/10.1109/ICTC.2016.7763517
Publication status	Published - 2016 Nov 30
Event	2016 International Conference on Information and Communication Technology Convergence, ICTC 2016 - Jeju Island, Korea, Republic of Duration: 2016 Oct 19 → 2016 Oct 21

Publication series

Name	2016 International Conference on Information and Communication Technology Convergence, ICTC 2016

Other

Other	2016 International Conference on Information and Communication Technology Convergence, ICTC 2016
Country/Territory	Korea, Republic of
City	Jeju Island
Period	16/10/19 → 16/10/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Cumulative test score
Epidemic disease
GPS
GPS log analyzer
Gradual range setting and score
Smart phone
Warning and detection

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Signal Processing

Access to Document

10.1109/ICTC.2016.7763517

Cite this

Kim, M., Lee, J. Y., & Kim, H. (2016). Warning and detection system for epidemic disease. In 2016 International Conference on Information and Communication Technology Convergence, ICTC 2016 (pp. 478-483). Article 7763517 (2016 International Conference on Information and Communication Technology Convergence, ICTC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTC.2016.7763517

Warning and detection system for epidemic disease. / Kim, Minsung; Lee, Joon Yeop; Kim, Hwangnam.
2016 International Conference on Information and Communication Technology Convergence, ICTC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 478-483 7763517 (2016 International Conference on Information and Communication Technology Convergence, ICTC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, M, Lee, JY & Kim, H 2016, Warning and detection system for epidemic disease. in 2016 International Conference on Information and Communication Technology Convergence, ICTC 2016., 7763517, 2016 International Conference on Information and Communication Technology Convergence, ICTC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 478-483, 2016 International Conference on Information and Communication Technology Convergence, ICTC 2016, Jeju Island, Korea, Republic of, 16/10/19. https://doi.org/10.1109/ICTC.2016.7763517

Kim M, Lee JY, Kim H. Warning and detection system for epidemic disease. In 2016 International Conference on Information and Communication Technology Convergence, ICTC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 478-483. 7763517. (2016 International Conference on Information and Communication Technology Convergence, ICTC 2016). doi: 10.1109/ICTC.2016.7763517

Kim, Minsung ; Lee, Joon Yeop ; Kim, Hwangnam. / Warning and detection system for epidemic disease. 2016 International Conference on Information and Communication Technology Convergence, ICTC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 478-483 (2016 International Conference on Information and Communication Technology Convergence, ICTC 2016).

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title = "Warning and detection system for epidemic disease",

abstract = "Epidemic diseases have repeatedly troubled mankind. With the Zika virus threatening societies around the whole world in recent years, the importance of epidemic disease control is greater than ever. We propose a warning and detection system for epidemic diseases. In our work, we designed the system and algorithm using GPS to prevent disease infection at the source and international propagation. The system was divided into 3 parts: The control center of the epidemic disease, the traveler's smartphone app, and the GPS log analyzer at airports. The control center distributes epidemic disease information, the app keeps track of the current location (GPS) and presents warning messages if necessary, and the analyzer detects people who are likely to be infected. The validity and performance of the system were examined through experiments. To confirm the accuracy of the system, the experiment was conducted with different scenarios considering practical application.",

keywords = "Cumulative test score, Epidemic disease, GPS, GPS log analyzer, Gradual range setting and score, Smart phone, Warning and detection",

author = "Minsung Kim and Lee, \{Joon Yeop\} and Hwangnam Kim",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 2016 International Conference on Information and Communication Technology Convergence, ICTC 2016 ; Conference date: 19-10-2016 Through 21-10-2016",

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doi = "10.1109/ICTC.2016.7763517",

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series = "2016 International Conference on Information and Communication Technology Convergence, ICTC 2016",

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N2 - Epidemic diseases have repeatedly troubled mankind. With the Zika virus threatening societies around the whole world in recent years, the importance of epidemic disease control is greater than ever. We propose a warning and detection system for epidemic diseases. In our work, we designed the system and algorithm using GPS to prevent disease infection at the source and international propagation. The system was divided into 3 parts: The control center of the epidemic disease, the traveler's smartphone app, and the GPS log analyzer at airports. The control center distributes epidemic disease information, the app keeps track of the current location (GPS) and presents warning messages if necessary, and the analyzer detects people who are likely to be infected. The validity and performance of the system were examined through experiments. To confirm the accuracy of the system, the experiment was conducted with different scenarios considering practical application.

AB - Epidemic diseases have repeatedly troubled mankind. With the Zika virus threatening societies around the whole world in recent years, the importance of epidemic disease control is greater than ever. We propose a warning and detection system for epidemic diseases. In our work, we designed the system and algorithm using GPS to prevent disease infection at the source and international propagation. The system was divided into 3 parts: The control center of the epidemic disease, the traveler's smartphone app, and the GPS log analyzer at airports. The control center distributes epidemic disease information, the app keeps track of the current location (GPS) and presents warning messages if necessary, and the analyzer detects people who are likely to be infected. The validity and performance of the system were examined through experiments. To confirm the accuracy of the system, the experiment was conducted with different scenarios considering practical application.

KW - Cumulative test score

KW - Epidemic disease

KW - GPS

KW - GPS log analyzer

KW - Gradual range setting and score

KW - Smart phone

KW - Warning and detection

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ER -

Warning and detection system for epidemic disease

Abstract

Publication series

Other

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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