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.
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.
Authors: Shirlee Wohl; Hayden C Metsky; Stephen F Schaffner; Anne Piantadosi; Meagan Burns; Joseph A Lewnard; Bridget Chak; Lydia A Krasilnikova; Katherine J Siddle; Christian B Matranga; Bettina Bankamp; Scott Hennigan; Brandon Sabina; Elizabeth H Byrne; Rebecca J McNall; Rickey R Shah; James Qu; Daniel J Park; Soheyla Gharib; Susan Fitzgerald; Paul Barreira; Stephen Fleming; Susan Lett; Paul A Rota; Lawrence C Madoff; Nathan L Yozwiak; Bronwyn L MacInnis; Sandra Smole; Yonatan H Grad; Pardis C Sabeti Journal: PLoS Biol Date: 2020-02-11 Impact factor: 8.029
Authors: Christine E Stauber; Joe Brown; Anu Bourgeois; Fabiana Palma; Claire A Spears; Cassandra White; Federico Costa Journal: Am J Trop Med Hyg Date: 2022-02-07 Impact factor: 2.345
Authors: Christopher Uschnig; Florian Recker; Michael Blaivas; Yi Dong; Christoph F Dietrich Journal: Ultrasound Med Biol Date: 2022-01-10 Impact factor: 3.694