Can Big Data Be Used to Monitor the Mental Health Consequences of COVID-19?

Details

Ressource 1Download: 34744586_BIB_1BDD1B7F5CA1.pdf (574.23 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_1BDD1B7F5CA1
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
UNIL/CHUV
Title
Can Big Data Be Used to Monitor the Mental Health Consequences of COVID-19?
Journal
International journal of public health
Author(s)
Aebi N.J., De Ridder D., Ochoa C., Petrovic D., Fadda M., Elayan S., Sykora M., Puhan M., Naslund J.A., Mooney S.J., Gruebner O.
ISSN
1661-8564 (Electronic)
ISSN-L
1661-8556
Publication state
Published
Issued date
2021
Peer-reviewed
Oui
Volume
66
Pages
633451
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Keywords
Big Data, COVID-19/psychology, Humans, Mental Disorders/epidemiology, Public Health Surveillance/methods, digital epidemiology, digital health geography, social media, spatial epidemiology, surveillance
URN
urn:nbn:ch:serval-BIB_1BDD1B7F5CA10
OAI-PMH
oai:serval.unil.ch:BIB_1BDD1B7F5CA1
DOI
10.3389/ijph.2021.633451
Pubmed
34744586
Web of science
000642083800001
Open Access
Yes
Create date
15/07/2021 9:01
Last modification date
08/08/2024 6:30
Usage data