The use of non-traditional data for monitoring foodborne illness: methodological recommendations and considerations

Oldroyd, R orcid.org/0000-0003-3422-7396, Birkin, M and Morris, MA (2017) The use of non-traditional data for monitoring foodborne illness: methodological recommendations and considerations. In: Birkin, M, Morris, M and Malleson, N, (eds.) ECTQG 2017 Conference Programme. The European Colloquium on Theoretical and Quantitative Geography, 07-11 Sep 2017, York, UK. University of Leeds .

Abstract

Metadata

Authors/Creators:
Keywords: Foodborne illness; Consumer Generated Data; Big Data; Public Health
Dates:
  • Published: 20 September 2017
  • Accepted: 20 July 2017
  • Published (online): 20 September 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 07 Feb 2019 13:05
Last Modified: 07 Feb 2019 13:05
Published Version: http://www.geog.leeds.ac.uk/ectqg17/programme/Hand...
Status: Published
Publisher: University of Leeds

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