Investigating the impact of Covid-19 lockdown on adults with a recent history fo recurrent major depressive disorder: a multi-centre study using remote measurement technology

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Author:Daniel Leightley, Grace Lavelle, Katie M. White, Shaoxiong Sun, Faith Matcham, Alina Ivan, Carolin Oetzmann, Brenda W. J. H. Penninx, Femke Lamers, Sara Siddi, Josep Mario Haro, Inez Myin-Germeys, Stuart Bruce, Raluca Nica, Alice Wickersham, Peter Annas, David C. Mohr, Sara Simblett, Til Wykes, Nicholas CumminsORCiDGND, Amos Akinola Folarin, Pauline Conde, Yatharth Ranjan, Richard J. B. Dobson, Viabhav A. Narayan, Mathew Hotopf
URN:urn:nbn:de:bvb:384-opus4-895584
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/89558
Parent Title (English):BMC Psychiatry
Publisher:BioMed Central
Place of publication:London
Type:Article
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2021/09/28
Tag:Remote Measurement Technology; Major Depressive Disorder; Mobile Health
Volume:21
Issue:1
First Page:435
Note:
On behalf of the RADAR-CNS Consortium
DOI:https://doi.org/10.1186/s12888-021-03434-5
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)