Application of a city wide digital population database for outcome analysis in diabetes: SARS-CoV-2, diabetes and hospital admission rate month by month in Greater Manchester, UK

Adrian H. Heald; David A. Jenkins; Nadia Chaudhury; Richard Williams; Matthew Sperrin; Niels Peek; William Ollier; Kelly Bowden-Davies; Gayathri Delanerolle; Simon G. Anderson; John Martin Gibson

doi:10.1097/XCE.0000000000000257

Application of a city wide digital population database for outcome analysis in diabetes: SARS-CoV-2, diabetes and hospital admission rate month by month in Greater Manchester, UK

Adrian H. Heald^*, David A. Jenkins, Nadia Chaudhury, Richard Williams, Matthew Sperrin, Niels Peek, William Ollier, Kelly Bowden-Davies, Gayathri Delanerolle, Simon G. Anderson, John Martin Gibson

^*Corresponding author for this work

Research output: Contribution to journal › Letter › peer-review

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Original language	English
Article number	e0257
Number of pages	2
Journal	Cardiovascular Endocrinology and Metabolism
Volume	11
Issue number	1
Early online date	28 Jan 2022
DOIs	https://doi.org/10.1097/XCE.0000000000000257
Publication status	Published - Mar 2022
Externally published	Yes

ASJC Scopus subject areas

Endocrinology, Diabetes and Metabolism
Cardiology and Cardiovascular Medicine

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1097/XCE.0000000000000257Licence: Creative Commons: Attribution-NonCommercial-NoDerivs (CC BY-NC-ND)

HealdA2022ApplicationFinal published version, 189 KBLicence: Creative Commons: Attribution-NonCommercial-NoDerivs (CC BY-NC-ND)

Cite this

Heald, A. H., Jenkins, D. A., Chaudhury, N., Williams, R., Sperrin, M., Peek, N., Ollier, W., Bowden-Davies, K., Delanerolle, G., Anderson, S. G., & Gibson, J. M. (2022). Application of a city wide digital population database for outcome analysis in diabetes: SARS-CoV-2, diabetes and hospital admission rate month by month in Greater Manchester, UK. Cardiovascular Endocrinology and Metabolism, 11(1), Article e0257. https://doi.org/10.1097/XCE.0000000000000257

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year = "2022",

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Heald, AH, Jenkins, DA, Chaudhury, N, Williams, R, Sperrin, M, Peek, N, Ollier, W, Bowden-Davies, K, Delanerolle, G, Anderson, SG & Gibson, JM 2022, 'Application of a city wide digital population database for outcome analysis in diabetes: SARS-CoV-2, diabetes and hospital admission rate month by month in Greater Manchester, UK', Cardiovascular Endocrinology and Metabolism, vol. 11, no. 1, e0257. https://doi.org/10.1097/XCE.0000000000000257

Application of a city wide digital population database for outcome analysis in diabetes: SARS-CoV-2, diabetes and hospital admission rate month by month in Greater Manchester, UK. / Heald, Adrian H.; Jenkins, David A.; Chaudhury, Nadia et al.
In: Cardiovascular Endocrinology and Metabolism, Vol. 11, No. 1, e0257, 03.2022.

Research output: Contribution to journal › Letter › peer-review

TY - JOUR

T1 - Application of a city wide digital population database for outcome analysis in diabetes

T2 - SARS-CoV-2, diabetes and hospital admission rate month by month in Greater Manchester, UK

AU - Heald, Adrian H.

AU - Jenkins, David A.

AU - Chaudhury, Nadia

AU - Williams, Richard

AU - Sperrin, Matthew

AU - Peek, Niels

AU - Ollier, William

AU - Bowden-Davies, Kelly

AU - Delanerolle, Gayathri

AU - Anderson, Simon G.

AU - Gibson, John Martin

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M3 - Letter

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Heald AH, Jenkins DA, Chaudhury N, Williams R, Sperrin M, Peek N et al. Application of a city wide digital population database for outcome analysis in diabetes: SARS-CoV-2, diabetes and hospital admission rate month by month in Greater Manchester, UK. Cardiovascular Endocrinology and Metabolism. 2022 Mar;11(1):e0257. Epub 2022 Jan 28. doi: 10.1097/XCE.0000000000000257