A network approach to understanding social distancing behaviour during the first UK lockdown of the COVID-19 pandemic

Gibson-Miller, J. orcid.org/0000-0002-1864-4889, Zavlis, O., Hartman, T.K. et al. (11 more authors) (2022) A network approach to understanding social distancing behaviour during the first UK lockdown of the COVID-19 pandemic. Psychology and Health, 39 (1). pp. 109-127. ISSN 0887-0446

Abstract

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Item Type: Article
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Copyright, Publisher and Additional Information:

© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ((http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords: COVID-19; social distancing; behavioural science; intervention design; network psychometrics; complexity; COM-B model
Dates:
  • Published: 28 March 2022
  • Published (online): 28 March 2022
  • Accepted: 17 March 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield)
Funding Information:
Funder
Grant number
ECONOMIC & SOCIAL RESEARCH COUNCIL
ES/V004379/1
Depositing User: Symplectic Sheffield
Date Deposited: 14 Apr 2022 09:54
Last Modified: 28 Jun 2024 10:45
Status: Published
Publisher: Taylor & Francis (Routledge)
Refereed: Yes
Identification Number: 10.1080/08870446.2022.2057497
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