The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review

Kucharski, 2020, Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study, Lancet Infect Dis, 20, 1151, 10.1016/S1473-3099(20)30457-6 Kretzschmar, 2020, Impact of delays on effectiveness of contact tracing strategies for COVID-19: a modelling study, Lancet Public Health, 5, e452, 10.1016/S2468-2667(20)30157-2 Corman, 2020, Detection of 2019 -nCoV by RT-PCR, Euro Surveill, 25, 1, 10.2807/1560-7917.ES.2020.25.3.2000045 Dinnes, 2020, Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection, Cochrane Database Syst Rev, 8 Elias, 2021, The incubation period of COVID-19: a meta-analysis, Int J Infect Dis, 104, 708, 10.1016/j.ijid.2021.01.069 Walsh, 2020, SARS-CoV-2 detection, viral load and infectivity over the course of an infection, J Infect, 81, 357, 10.1016/j.jinf.2020.06.067 Zou, 2020, SARS-CoV-2 viral load in upper respiratory specimens of infected patients, N Engl J Med, 382, 1177, 10.1056/NEJMc2001737 He, 2020, Temporal dynamics in viral shedding and transmissibility of COVID-19, Nat Med, 26, 672, 10.1038/s41591-020-0869-5 Allen, 2020, Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing, Nat Hum Behav, 4, 972, 10.1038/s41562-020-00944-2 Shapiro, 2020, Characterising COVID-19 and influenza illnesses in the real world via person-generated health data, Patterns (N Y), 2 Ing, 2020, COVID-19: in the footsteps of Ernest Shackleton, Thorax, 75, 693, 10.1136/thoraxjnl-2020-215091 Byambasuren, 2020, Estimating the extent of asymptomatic COVID-19 and its potential for community transmission: systematic review and meta-analysis, J Assoc Med Microbiol Infect Dis Canada, 5, 223 Buitrago-Garcia, 2020, Occurrence and transmission potential of asymptomatic and presymptomatic SARS-CoV-2 infections: a living systematic review and meta-analysis, PLoS Med, 17, 10.1371/journal.pmed.1003346 Johansson, 2021, SARS-CoV-2 transmission from people without COVID-19 symptoms, JAMA Netw Open, 4, 10.1001/jamanetworkopen.2020.35057 Zhu, 2021, The accuracy of wrist skin temperature in detecting ovulation compared to basal body temperature: prospective comparative diagnostic accuracy study, J Med Internet Res, 23, 10.2196/20710 Chen, 2020, Validity of the use of wrist and forehead temperatures in screening the general population for covid-19: a prospective real-world study, Iran J Public Health, 49, 57 Seshadri, 2020, Wearable sensors for COVID-19: a call to action to harness our digital infrastructure for remote patient monitoring and virtual assessments, Front Digit Health, 2, 8, 10.3389/fdgth.2020.00008 Mitratza Miller, 2020, Analyzing changes in respiratory rate to predict the risk of COVID-19 infection, PLoS One, 15, 10.1371/journal.pone.0243693 Cleary, 2021, A caveat to using wearable sensor data for COVID-19 detection: the role of behavioral change after receipt of test results, medRxiv Nestor, 2021, Dear watch, should I get a COVID-19 test? Designing deployable machine learning for wearables, medRxiv Mishra, 2020, Pre-symptomatic detection of COVID-19 from smartwatch data, Nat Biomed Eng, 4, 1208, 10.1038/s41551-020-00640-6 Quer, 2021, Wearable sensor data and self-reported symptoms for COVID-19 detection, Nat Med, 27, 73, 10.1038/s41591-020-1123-x Natarajan, 2020, Assessment of physiological signs associated with COVID-19 measured using wearable devices, NPJ Digit Med, 3, 156, 10.1038/s41746-020-00363-7 Hassantabar, 2020, CovidDeep: SARS-CoV-2/COVID-19 test based on wearable medical sensors and efficient neural networks, arXiv Hirten, 2021, Use of physiological data from a wearable device to identify SARS-CoV-2 infection and symptoms and predict COVID-19 diagnosis: observational study, J Med Internet Res, 23, 10.2196/26107 Smarr, 2020, Feasibility of continuous fever monitoring using wearable devices, Sci Rep, 10, 10.1038/s41598-020-78355-6 Lonini, 2021, Rapid screening of physiological changes associated with COVID-19 using soft-wearables and structured activities: a pilot study, IEEE J Transl Eng Health Med, 9, 10.1109/JTEHM.2021.3058841 Bogu, 2021, Deep learning-based detection of COVID-19 using wearables data, medRxiv Choi Woods Brakenhoff, 2021, Trials, 22, 1, 10.1186/s13063-021-05241-5 Cislo, 2021, Monitoring beliefs and physiological measures using wearable sensors and smartphone technology among students at risk of COVID-19: protocol for a mHealth study, JMIR Res Protoc, 10, 10.2196/29561 Frasch Jayaraman Mault Ramirez Risch Wong, 2020, Artificial intelligence mobile health platform for early detection of COVID-19 in quarantine subjects using a wearable biosensor: protocol for a randomised controlled trial, BMJ Open, 10, 10.1136/bmjopen-2020-038555 Xu Zargaran, 2020, The COVID-19 early detection in doctors and healthcare workers (CEDiD) study: study protocol for a prospective observational trial, medRxiv Popkin, 2020, Individuals with obesity and COVID-19: a global perspective on the epidemiology and biological relationships, Obes Rev, 21, 10.1111/obr.13128 Zhou, 2020, Comorbidities and the risk of severe or fatal outcomes associated with coronavirus disease 2019: a systematic review and meta-analysis, Int J Infect Dis, 99, 47, 10.1016/j.ijid.2020.07.029 Liu, 2020, Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension, Nat Med, 26, 1364, 10.1038/s41591-020-1034-x Cruz Rivera, 2020, Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension, Nat Med, 26, 1351, 10.1038/s41591-020-1037-7 Renelus, 2021, Racial disparities in COVID-19 hospitalization and in-hospital mortality at the height of the New York city pandemic, J Racial Ethn Health Disparities, 8, 1161, 10.1007/s40615-020-00872-x Colvonen, 2020, Limiting racial disparities and bias for wearable devices in health science research, Sleep, 43, 1, 10.1093/sleep/zsaa159 Goodale, 2019, Wearable sensors reveal menses-driven changes in physiology and enable prediction of the fertile window: observational study, J Med Internet Res, 21, 10.2196/13404 Shilaih, 2018, Modern fertility awareness methods: wrist wearables capture the changes of temperature associated with the menstrual cycle, Biosci Rep, 38, 10.1042/BSR20171279 Shilaih, 2017, Pulse rate measurement during sleep using wearable sensors, and its correlation with the menstrual cycle phases, a prospective observational study, Sci Rep, 7, 10.1038/s41598-017-01433-9 Radin, 2020, Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study, Lancet Digit Health, 2, e85, 10.1016/S2589-7500(19)30222-5 Ni, 2021, Automated, multiparametric monitoring of respiratory biomarkers and vital signs in clinical and home settings for COVID-19 patients, Proc Natl Acad Sci USA, 118, 1, 10.1073/pnas.2026610118