IEEE Open Journal of Engineering in Medicine and Biology (Jan 2020)

Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?

  • Catherine P. Adans-Dester,
  • Stacy Bamberg,
  • Francesco P. Bertacchi,
  • Brian Caulfield,
  • Kara Chappie,
  • Danilo Demarchi,
  • M. Kelley Erb,
  • Juan Estrada,
  • Eric E. Fabara,
  • Michael Freni,
  • Karl E. Friedl,
  • Roozbeh Ghaffari,
  • Geoffrey Gill,
  • Mark S. Greenberg,
  • Reed W. Hoyt,
  • Emil Jovanov,
  • Christoph M. Kanzler,
  • Dina Katabi,
  • Meredith Kernan,
  • Colleen Kigin,
  • Sunghoon I. Lee,
  • Steffen Leonhardt,
  • Nigel H. Lovell,
  • Jose Mantilla,
  • Thomas H. McCoy,
  • Nell Meosky Luo,
  • Glenn A. Miller,
  • John Moore,
  • Derek O'Keeffe,
  • Jeffrey Palmer,
  • Federico Parisi,
  • Shyamal Patel,
  • Jack Po,
  • Benito L. Pugliese,
  • Thomas Quatieri,
  • Tauhidur Rahman,
  • Nathan Ramasarma,
  • John A. Rogers,
  • Guillermo U. Ruiz-Esparza,
  • Stefano Sapienza,
  • Gregory Schiurring,
  • Lee Schwamm,
  • Hadi Shafiee,
  • Sara Kelly Silacci,
  • Nathaniel M Sims,
  • Tanya Talkar,
  • William J. Tharion,
  • James A. Toombs,
  • Christopher Uschnig,
  • Gloria P. Vergara-Diaz,
  • Paul Wacnik,
  • May D. Wang,
  • James Welch,
  • Lina Williamson,
  • Ross Zafonte,
  • Adrian Zai,
  • Yuan-Ting Zhang,
  • Guillermo J. Tearney,
  • Rushdy Ahmad,
  • David R. Walt,
  • Paolo Bonato

DOI
https://doi.org/10.1109/OJEMB.2020.3015141
Journal volume & issue
Vol. 1
pp. 243 – 248

Abstract

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Goal: The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use to monitor and mitigate the effects of the COVID-19 pandemic. Methods: A Task Force was assembled by recruiting individuals with expertise in electronic Patient-Reported Outcomes (ePRO), wearable sensors, and digital contact tracing technologies. Its members collected and discussed available information and summarized it in a series of reports. Results: The Task Force identified technologies that could be deployed in response to the COVID-19 pandemic and would likely be suitable for future pandemics. Criteria for their evaluation were agreed upon and applied to these systems. Conclusions: mHealth technologies are viable options to monitor COVID-19 patients and be used to predict symptom escalation for earlier intervention. These technologies could also be utilized to monitor individuals who are presumed non-infected and enable prediction of exposure to SARS-CoV-2, thus facilitating the prioritization of diagnostic testing.

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