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

In order to understand the health outcomes for distinct sub-groups of the population or across different geographies, it is advantageous to be able to build bespoke groupings from individual level data. Individuals possess distinct characteristics, exhibit distinct behaviours and accumulate their ow...

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Detalles Bibliográficos
Autores principales: Wu, Guoqiang, Heppenstall, Alison, Meier, Petra, Purshouse, Robin, Lomax, Nik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776798/
https://www.ncbi.nlm.nih.gov/pubmed/35058471
http://dx.doi.org/10.1038/s41597-022-01124-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776798/
https://www.ncbi.nlm.nih.gov/pubmed/35058471
http://dx.doi.org/10.1038/s41597-022-01124-9

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