A systematic review of observational methods used to quantify personal protective behaviours among members of the public during the COVID-19 pandemic, and the concordance between observational and self-report measures in infectious disease health protection.

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Title: A systematic review of observational methods used to quantify personal protective behaviours among members of the public during the COVID-19 pandemic, and the concordance between observational and self-report measures in infectious disease health protection.
Authors: Davies R; National Institute of Health Research Health Protection Research Unit in Emergency Preparedness and Response at King's College London, in partnership with the UK Health Security Agency, London, UK. Rachel.2.davies@kcl.ac.uk., Mowbray F; National Institute of Health Research Health Protection Research Unit in Emergency Preparedness and Response at King's College London, in partnership with the UK Health Security Agency, London, UK., Martin AF; National Institute of Health Research Health Protection Research Unit in Emergency Preparedness and Response at King's College London, in partnership with the UK Health Security Agency, London, UK., Smith LE; National Institute of Health Research Health Protection Research Unit in Emergency Preparedness and Response at King's College London, in partnership with the UK Health Security Agency, London, UK., Rubin GJ; National Institute of Health Research Health Protection Research Unit in Emergency Preparedness and Response at King's College London, in partnership with the UK Health Security Agency, London, UK.
Source: BMC public health [BMC Public Health] 2022 Jul 28; Vol. 22 (1), pp. 1436. Date of Electronic Publication: 2022 Jul 28.
Publication Type: Journal Article; Systematic Review; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1471-2458
DOI:10.1186/s12889-022-13819-0