A synthetic population dataset for estimating small area health and socio-economic outcomes in Great Britain.

Wu, Guoqiang; Heppenstall, Alison; Meier, Petra; Purshouse, Robin; Lomax, Nik

Wu, Guoqiang; Heppenstall, Alison; Meier, Petra; Purshouse, Robin; Lomax, Nik.

Afiliação

Wu G; Leeds Institute for Data Analytics and School of Geography, University of Leeds, Woodhouse Lane, Leeds, West Yorkshire, LS2 9JT, UK. g.wu@leeds.ac.uk.
Heppenstall A; Leeds Institute for Data Analytics and School of Geography, University of Leeds, Woodhouse Lane, Leeds, West Yorkshire, LS2 9JT, UK.
Meier P; Alan Turing Institute for Data Science & AI, The British Library, London, NW1 2DB, UK.
Purshouse R; MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Berkeley Square, 99 Berkeley Street, Glasgow, G3 7HR, UK.
Lomax N; Department of Automatic Control and Systems Engineering, University of Sheffield, Portobello Street, Sheffield, S1 3JD, UK.

Sci Data ; 9(1): 19, 2022 01 20.

Article em En | MEDLINE | ID: mdl-35058471

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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