SOCRATES-CoMix: a platform for timely and open-source contact mixing data during and in between COVID-19 surges and interventions in over 20 European countries.
COVID-19
Contact data
Europe
Mathematical modelling
Mixing patterns
SARS-CoV-2
Social contact behaviour
Journal
BMC medicine
ISSN: 1741-7015
Titre abrégé: BMC Med
Pays: England
ID NLM: 101190723
Informations de publication
Date de publication:
29 09 2021
29 09 2021
Historique:
received:
16
05
2021
accepted:
16
09
2021
entrez:
29
9
2021
pubmed:
30
9
2021
medline:
16
10
2021
Statut:
epublish
Résumé
SARS-CoV-2 dynamics are driven by human behaviour. Social contact data are of utmost importance in the context of transmission models of close-contact infections. Using online representative panels of adults reporting on their own behaviour as well as parents reporting on the behaviour of one of their children, we collect contact mixing (CoMix) behaviour in various phases of the COVID-19 pandemic in over 20 European countries. We provide these timely, repeated observations using an online platform: SOCRATES-CoMix. In addition to providing cleaned datasets to researchers, the platform allows users to extract contact matrices that can be stratified by age, type of day, intensity of the contact and gender. These observations provide insights on the relative impact of recommended or imposed social distance measures on contacts and can inform mathematical models on epidemic spread. These data provide essential information for policymakers to balance non-pharmaceutical interventions, economic activity, mental health and wellbeing, during vaccine rollout.
Sections du résumé
BACKGROUND
SARS-CoV-2 dynamics are driven by human behaviour. Social contact data are of utmost importance in the context of transmission models of close-contact infections.
METHODS
Using online representative panels of adults reporting on their own behaviour as well as parents reporting on the behaviour of one of their children, we collect contact mixing (CoMix) behaviour in various phases of the COVID-19 pandemic in over 20 European countries. We provide these timely, repeated observations using an online platform: SOCRATES-CoMix. In addition to providing cleaned datasets to researchers, the platform allows users to extract contact matrices that can be stratified by age, type of day, intensity of the contact and gender. These observations provide insights on the relative impact of recommended or imposed social distance measures on contacts and can inform mathematical models on epidemic spread.
CONCLUSION
These data provide essential information for policymakers to balance non-pharmaceutical interventions, economic activity, mental health and wellbeing, during vaccine rollout.
Identifiants
pubmed: 34583683
doi: 10.1186/s12916-021-02133-y
pii: 10.1186/s12916-021-02133-y
pmc: PMC8478607
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
254Subventions
Organisme : Horizon 2020 Framework Programme
ID : 101003688
Informations de copyright
© 2021. The Author(s).
Références
Epidemiology. 2019 Sep;30(5):723-736
pubmed: 31274572
Euro Surveill. 2021 Feb;26(8):
pubmed: 33632374
Euro Surveill. 2020 Apr;25(13):
pubmed: 32265003
BMC Med. 2020 May 7;18(1):124
pubmed: 32375776
Sci Rep. 2017 Aug 11;7(1):7974
pubmed: 28801623
Science. 2020 Jun 26;368(6498):1481-1486
pubmed: 32350060
Science. 2021 Apr 9;372(6538):
pubmed: 33658326
Lancet Infect Dis. 2021 Apr;21(4):482-492
pubmed: 33357518
Am J Epidemiol. 2006 Nov 15;164(10):936-44
pubmed: 16968863
PLoS Med. 2008 Mar 25;5(3):e74
pubmed: 18366252
BMC Med. 2021 Feb 19;19(1):52
pubmed: 33602244
BMC Res Notes. 2020 Jun 16;13(1):293
pubmed: 32546245
Euro Surveill. 2020 Sep;25(37):
pubmed: 32945254
BMC Med. 2021 Sep 10;19(1):233
pubmed: 34503493
Sci Rep. 2020 Dec 14;10(1):21885
pubmed: 33318521