A Smartphone Magnetometer-Based Diagnostic Test for Automatic Contact Tracing in Infectious Disease Epidemics

Seungyeon Jeong, Seungho Kuk, Hyogon Kim

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)

Abstract

Smartphone magnetometer readings exhibit high linear correlation when two phones coexist within a short distance. Thus, the detected coexistence can serve as a proxy for close human contact events, and one can conceive using it as a possible automatic tool to modernize the contact tracing in infectious disease epidemics. This paper investigates how good a diagnostic test it would be, by evaluating the discriminative and predictive power of the smartphone magnetometer-based contact detection in multiple measures. Based on the sensitivity, specificity, likelihood ratios, and diagnostic odds ratios, we find that the decision made by the smartphone magnetometer-based test can be accurate in telling contacts from no contacts. Furthermore, through the evaluation process, we determine the appropriate range of compared trace segment sizes and the correlation cutoff values that we should use in such diagnostic tests.

Original languageEnglish
Article number8626091
Pages (from-to)20734-20747
Number of pages14
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 2019

Bibliographical note

Funding Information:
This work was supported by the Mid-Career Researcher Program through NRF grant funded by MSIP under Grant 2015R1A2A1A10052590.

Publisher Copyright:
© 2013 IEEE.

Keywords

  • Mobile sensing
  • diagnostic test
  • human contact tracing
  • infectious disease epidemic
  • smartphone magnetometer

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering
  • Electrical and Electronic Engineering

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