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Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19

Authors :
Mathias Buron
Shaoxiong Sun
Amos Folarin
Femke Lamers
Aki Rintala
Callum Stewart
Brenda W.J.H. Penninx
Ana Zabalza
Gloria Dalla Costa
Sara Simblett
Inez Myin-Germeys
Matthew Hotopf
Sara Siddi
Nicholas Cummins
Yatharth Ranjan
Zulqarnain Rashid
Pauline Conde
Josep Maria Haro
Per Soelberg Sørensen
Ana Pérez
Letizia Leocani
Giancarlo Comi
Vaibhav A. Narayan
Til Wykes
Faith Matcham
Richard Dobson
Psychiatry
Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep
APH - Mental Health
APH - Digital Health
Sun, S.
Folarin, A. A.
Ranjan, Y.
Rashid, Z.
Conde, P.
Stewart, C.
Cummins, N.
Matcham, F.
Costa, G. D.
Simblett, S.
Leocani, L.
Lamers, F.
Sorensen, P. S.
Buron, M.
Zabalza, A.
Perez, A. I. G.
Penninx, B. W. J. H.
Siddi, S.
Haro, J. M.
Myin-Germeys, I.
Rintala, A.
Wykes, T.
Narayan, V. A.
Comi, G.
Hotopf, M.
Dobson, R. J. B.
Source :
Journal of Medical Internet Research, 22(9):e19992. Journal of medical Internet Research, Journal of Medical Internet Research, Vol 22, Iss 9, p e19992 (2020), Journal of Medical Internet Research, Sun, S, Folarin, A A, Ranjan, Y, Rashid, Z, Conde, P, Stewart, C, Cummins, N, Matcham, F, Dalla Costa, G, Simblett, S, Leocani, L, Lamers, F, Sørensen, P S, Buron, M, Zabalza, A, Guerrero Pérez, A I, Penninx, B W, Siddi, S, Haro, J M, Myin-Germeys, I, Rintala, A, Wykes, T, Narayan, V A, Comi, G, Hotopf, M, Dobson, R J & RADAR-CNS Consortium 2020, ' Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19 ', Journal of Medical Internet Research, vol. 22, no. 9, e19992 . https://doi.org/10.2196/19992, JOURNAL OF MEDICAL INTERNET RESEARCH, r-FSJD: Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu, instname, RADAR-CNS Consortium 2020, ' Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19 ', Journal of Medical Internet Research, vol. 22, no. 9, e19992, pp. e19992 . https://doi.org/10.2196/19992, r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
Publication Year :
2020

Abstract

Background In the absence of a vaccine or effective treatment for COVID-19, countries have adopted nonpharmaceutical interventions (NPIs) such as social distancing and full lockdown. An objective and quantitative means of passively monitoring the impact and response of these interventions at a local level is needed. Objective We aim to explore the utility of the recently developed open-source mobile health platform Remote Assessment of Disease and Relapse (RADAR)–base as a toolbox to rapidly test the effect and response to NPIs intended to limit the spread of COVID-19. Methods We analyzed data extracted from smartphone and wearable devices, and managed by the RADAR-base from 1062 participants recruited in Italy, Spain, Denmark, the United Kingdom, and the Netherlands. We derived nine features on a daily basis including time spent at home, maximum distance travelled from home, the maximum number of Bluetooth-enabled nearby devices (as a proxy for physical distancing), step count, average heart rate, sleep duration, bedtime, phone unlock duration, and social app use duration. We performed Kruskal-Wallis tests followed by post hoc Dunn tests to assess differences in these features among baseline, prelockdown, and during lockdown periods. We also studied behavioral differences by age, gender, BMI, and educational background. Results We were able to quantify expected changes in time spent at home, distance travelled, and the number of nearby Bluetooth-enabled devices between prelockdown and during lockdown periods (P Conclusions RADAR-base, a freely deployable data collection platform leveraging data from wearables and mobile technologies, can be used to rapidly quantify and provide a holistic view of behavioral changes in response to public health interventions as a result of infectious outbreaks such as COVID-19. RADAR-base may be a viable approach to implementing an early warning system for passively assessing the local compliance to interventions in epidemics and pandemics, and could help countries ease out of lockdown.

Subjects

Subjects :
FOS: Computer and information sciences
Male
020205 medical informatics
Behavioral monitoring
Denmark
behavioral monitoring
Psychological intervention
Computer Science - Human-Computer Interaction
02 engineering and technology
Quantitative Biology - Quantitative Methods
Aparells mòbils
Body Mass Index
wearable devices
0302 clinical medicine
Phone
0202 electrical engineering, electronic engineering, information engineering
030212 general & internal medicine
Mobile health
Pandemics/prevention & control
Social isolation
Telèfons intel·ligents
Quantitative Methods (q-bio.QM)
Wearable technology
Netherlands
Mobility
Aged, 80 and over
United Kingdom/epidemiology
Social distance
Data Collection
lcsh:Public aspects of medicine
Middle Aged
16. Peace & justice
Mobile Applications
smartphones
mobility
Wearable devices
Telemedicine
phone use
3. Good health
Biological monitoring
Italy
Social Isolation
Phone use
Spain/epidemiology
Seguiment biològic
lcsh:R858-859.7
Female
Smartphone
medicine.symptom
COVID-19
Psychology
Coronavirus Infections
Italy/epidemiology
Adult
Adolescent
Pneumonia, Viral
Netherlands/epidemiology
Health Informatics
lcsh:Computer applications to medicine. Medical informatics
Bedtime
Human-Computer Interaction (cs.HC)
03 medical and health sciences
Young Adult
Wearable Electronic Devices
medicine
Humans
mobile health
ddc:610
Pneumonia, Viral/epidemiology
Pandemics
Aged
Monitoring, Physiologic
Original Paper
business.industry
lcsh:RA1-1270
Denmark/epidemiology
United Kingdom
Smartphones
Spain
FOS: Biological sciences
Mobile devices
Early warning system
Coronavirus Infections/epidemiology
business
Social Media
Demography

Details

Language :
English
ISSN :
14388871 and 14394456
Database :
OpenAIRE
Journal :
Journal of Medical Internet Research, 22(9):e19992. Journal of medical Internet Research, Journal of Medical Internet Research, Vol 22, Iss 9, p e19992 (2020), Journal of Medical Internet Research, Sun, S, Folarin, A A, Ranjan, Y, Rashid, Z, Conde, P, Stewart, C, Cummins, N, Matcham, F, Dalla Costa, G, Simblett, S, Leocani, L, Lamers, F, Sørensen, P S, Buron, M, Zabalza, A, Guerrero Pérez, A I, Penninx, B W, Siddi, S, Haro, J M, Myin-Germeys, I, Rintala, A, Wykes, T, Narayan, V A, Comi, G, Hotopf, M, Dobson, R J & RADAR-CNS Consortium 2020, ' Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19 ', Journal of Medical Internet Research, vol. 22, no. 9, e19992 . https://doi.org/10.2196/19992, JOURNAL OF MEDICAL INTERNET RESEARCH, r-FSJD: Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu, instname, RADAR-CNS Consortium 2020, ' Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19 ', Journal of Medical Internet Research, vol. 22, no. 9, e19992, pp. e19992 . https://doi.org/10.2196/19992, r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
Accession number :
edsair.doi.dedup.....d90d280a71a3bda353785fe9ec052945
Full Text :
https://doi.org/10.2196/19992