Oldroyd, RA orcid.org/0000-0003-3422-7396, Hobbs, M, Campbell, M et al. (10 more authors)
(2021)
Correction to: Progress Towards Using Linked Population-Based Data For Geohealth Research: Comparisons Of Aotearoa New Zealand And The United Kingdom.
Applied Spatial Analysis and Policy, 14.
pp. 1041-1042.
ISSN 1874-463X
Abstract
Lukas Marek was erroneously omitted from the author list during the copy-editing process. The original author list is incorrect. The correct author list is presented above. The original article has been corrected.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: | This paper has 13 authors. You can scroll the list below to see them all or them all.
|
Copyright, Publisher and Additional Information: | © The Author(s) 2021. 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
Dates: |
|
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: | 24 Aug 2022 10:23 |
Last Modified: | 24 Aug 2022 10:23 |
Status: | Published |
Publisher: | Springer Nature |
Identification Number: | 10.1007/s12061-021-09426-y |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:190282 |