TY - JOUR
T1 - Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?
AU - 61 authors, including
AU - Adans-Dester, Catherine P.
AU - Bamberg, Stacy
AU - Bertacchi, Francesco P.
AU - Caulfield, Brian
AU - Chappie, Kara
AU - Demarchi, Danilo
AU - Erb, M. Kelley
AU - Estrada, Juan
AU - Fabara, Eric E.
AU - Freni, Michael
AU - Friedl, Karl E.
AU - Ghaffari, Roozbeh
AU - Gill, Geoffrey
AU - Greenberg, Mark S.
AU - Hoyt, Reed W.
AU - Jovanov, Emil
AU - Kanzler, Christoph M.
AU - Katabi, Dina
AU - Kernan, Meredith
AU - Kigin, Colleen
AU - Lee, Sunghoon I.
AU - Leonhardt, Steffen
AU - Lovell, Nigel H.
AU - Mantilla, Jose
AU - McCoy, Thomas H.
AU - Luo, Nell Meosky
AU - Miller, Glenn A.
AU - Moore, John
AU - O'Keeffe, Derek
AU - Palmer, Jeffrey
AU - Parisi, Federico
AU - Patel, Shyamal
AU - Po, Jack
AU - Pugliese, Benito L.
AU - Quatieri, Thomas
AU - Rahman, Tauhidur
AU - Ramasarma, Nathan
AU - Rogers, John A.
AU - Ruiz-Esparza, Guillermo U.
AU - Sapienza, Stefano
AU - Schiurring, Gregory
AU - Schwamm, Lee
AU - Shafiee, Hadi
AU - Kelly Silacci, Sara
AU - Sims, Nathaniel M
AU - Talkar, Tanya
AU - Tharion, William J.
AU - Toombs, James A.
AU - Uschnig, Christopher
AU - Zhang, Yuan-Ting
AU - Bonato, Paolo
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - COVID-19
KW - digital contact tracing
KW - electronic patient reported outcomes (ePRO)
KW - mHealth technology
KW - wearable sensors
UR - https://www.scopus.com/pages/publications/85092497068
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85092497068&origin=recordpage
UR - https://app-overton-io.ezproxy.cityu.edu.hk/articles.php?query=10.1109/OJEMB.2020.3015141
U2 - 10.1109/OJEMB.2020.3015141
DO - 10.1109/OJEMB.2020.3015141
M3 - RGC 21 - Publication in refereed journal
C2 - 34192282
SN - 2644-1276
VL - 1
SP - 243
EP - 248
JO - IEEE Open Journal of Engineering in Medicine and Biology
JF - IEEE Open Journal of Engineering in Medicine and Biology
ER -
SDG 3 Good Health and Well-being