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

Wu, G orcid.org/0000-0002-1302-4891, Heppenstall, A, Meier, P et al. (2 more authors) (2022) A synthetic population dataset for estimating small area health and socio-economic outcomes in Great Britain. Scientific Data, 9 (1). 19. ISSN 2052-4463

Abstract

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Copyright, Publisher and Additional Information: © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Dates:
  • Accepted: 13 December 2021
  • Published: 20 January 2022
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: 03 Feb 2022 15:46
Last Modified: 03 Feb 2022 15:46
Status: Published
Publisher: Nature Research
Identification Number: https://doi.org/10.1038/s41597-022-01124-9
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