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Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?
IEEE Open Journal of Engineering in Medicine and Biology ( IF 2.7 ) Pub Date : 2020-08-07 , DOI: 10.1109/ojemb.2020.3015141
Catherine P Adans-Dester 1, 2 , Stacy Bamberg 1, 2 , Francesco P Bertacchi 1, 2 , Brian Caulfield 1, 2 , Kara Chappie 1, 2 , Danilo Demarchi 1, 2 , M Kelley Erb 1, 2 , Juan Estrada 1, 2 , Eric E Fabara 1, 2 , Michael Freni 1, 2 , Karl E Friedl 1, 2 , Roozbeh Ghaffari 1, 2 , Geoffrey Gill 1, 2 , Mark S Greenberg 1, 2 , Reed W Hoyt 1, 2 , Emil Jovanov 1, 2 , Christoph M Kanzler 1, 2 , Dina Katabi 1, 2 , Meredith Kernan 1, 2 , Colleen Kigin 1, 2 , Sunghoon I Lee 1, 2 , Steffen Leonhardt 1, 2 , Nigel H Lovell 1, 2 , Jose Mantilla 1, 2 , Thomas H McCoy 1, 2 , Nell Meosky Luo 1, 2 , Glenn A Miller 1, 2 , John Moore 1, 2 , Derek O'Keeffe 1, 2 , Jeffrey Palmer 1, 2 , Federico Parisi 1, 2 , Shyamal Patel 1, 2 , Jack Po 1, 2 , Benito L Pugliese 1, 2 , Thomas Quatieri 1, 2 , Tauhidur Rahman 1, 2 , Nathan Ramasarma 1, 2 , John A Rogers 1, 2 , Guillermo U Ruiz-Esparza 1, 2 , Stefano Sapienza 1, 2 , Gregory Schiurring 1, 2 , Lee Schwamm 1, 2 , Hadi Shafiee 1, 2 , Sara Kelly Silacci 1, 2 , Nathaniel M Sims 1, 2 , Tanya Talkar 1, 2 , William J Tharion 1, 2 , James A Toombs 1, 2 , Christopher Uschnig 1, 2 , Gloria P Vergara-Diaz 1, 2 , Paul Wacnik 1, 2 , May D Wang 1, 2 , James Welch 1, 2 , Lina Williamson 1, 2 , Ross Zafonte 1, 2 , Adrian Zai 1, 2 , Yuan-Ting Zhang 1, 2 , Guillermo J Tearney 1, 2 , Rushdy Ahmad 1, 2 , David R Walt 1, 2 , Paolo Bonato 1, 2
Affiliation  

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.

中文翻译:

mHealth 技术能否帮助减轻 COVID-19 大流行的影响?

目标:本文报告的研究旨在审查移动医疗 (mHealth) 技术并探索其用于监测和减轻 COVID-19 大流行的影响。方法:通过招募在电子患者报告结果 (ePRO)、可穿戴传感器和数字接触者追踪技术方面具有专业知识的个人,组建了一个工作组。其成员收集并讨论了可用信息,并在一系列报告中对其进行了总结。结果:工作组确定了可用于应对 COVID-19 大流行并可能适用于未来大流行的技术。他们的评估标准已达成一致并适用于这些系统。结论:mHealth 技术是监测 COVID-19 患者的可行选择,可用于预测症状升级以进行早期干预。这些技术还可用于监测假定未感染的个体,并能够预测接触 SARS-CoV-2,从而促进诊断测试的优先级。
更新日期:2020-09-18
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