Open AccessMonitoring Beliefs and Physiological Measures Using Wearable Sensors and Smartphone Technology Among Students at Risk of COVID-19: Protocol for a mHealth Study
Author(s) -
Christine Cislo,
Caroline Clingan,
Kristen N. Gilley,
Michelle Rozwadowski,
Izzy Gainsburg,
Christina Bradley,
Jenny Barabas,
Erin Sandford,
Mary Olesnavich,
Jonathan Tyler,
Caleb Mayer,
Matthew DeMoss,
Christopher Flora,
Daniel B. Forger,
Julia Lee Cunningham,
Muneesh Tewari,
Sung Won Choi
Publication year - 2021
Publication title -
jmir research protocols
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.378
H-Index - 9
ISSN - 1929-0748
DOI - 10.2196/29561
Subject(s) - mhealth , mental health , population , wearable computer , psychology , social isolation , medical education , medicine , wearable technology , data collection , pandemic , covid-19 , gerontology , applied psychology , psychological intervention , nursing , computer science , environmental health , disease , psychiatry , infectious disease (medical specialty) , statistics , mathematics , pathology , embedded system
The COVID-19 pandemic has impacted lives significantly and greatly affected an already vulnerable population, college students, in relation to mental health and public safety. Social distancing and isolation have brought about challenges to student's mental health. Mobile health apps and wearable sensors may help to monitor students at risk for COVID-19 and support their mental well-being.