A systematic review of supermarket automated electronic sales data for population dietary surveillance.

Jenneson, VL orcid.org/0000-0003-2468-8009, Pontin, F, Greenwood, DC orcid.org/0000-0001-7035-3096 et al. (2 more authors) (2021) A systematic review of supermarket automated electronic sales data for population dietary surveillance. Nutrition Reviews. ISSN 0029-6643

Abstract

Metadata

Authors/Creators:
Keywords: dietary assessment, dietary surveillance, methods, supermarket, transactions.
Dates:
  • Accepted: 2 September 2021
  • Published (online): 10 November 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Clinical & Population Science Dept (Leeds)
Funding Information:
FunderGrant number
ESRC (Economic and Social Research Council)ES/S007164/1
Alan Turing InstituteNo ref given
ESRC (Economic and Social Research Council)ES/L011891/1
Depositing User: Symplectic Publications
Date Deposited: 02 Dec 2021 14:35
Last Modified: 02 Dec 2021 14:35
Status: Published online
Publisher: Oxford University Press
Identification Number: https://doi.org/10.1093/nutrit/nuab089

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