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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
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Wolters Kluwer Health
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805797/ https://www.ncbi.nlm.nih.gov/pubmed/35128337 http://dx.doi.org/10.1097/XCE.0000000000000257 |
| _version_ | 1784643296285425664 |
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| author | Heald, Adrian H. Jenkins, David A. Chaudhury, Nadia Williams, Richard Sperrin, Matthew Peek, Niels Ollier, William Bowden-Davies, Kelly Delanerolle, Gayathri Anderson, Simon G. Gibson, John Martin |
| author_facet | Heald, Adrian H. Jenkins, David A. Chaudhury, Nadia Williams, Richard Sperrin, Matthew Peek, Niels Ollier, William Bowden-Davies, Kelly Delanerolle, Gayathri Anderson, Simon G. Gibson, John Martin |
| author_sort | Heald, Adrian H. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8805797 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Wolters Kluwer Health |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-88057972022-02-01 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 Williams, Richard Sperrin, Matthew Peek, Niels Ollier, William Bowden-Davies, Kelly Delanerolle, Gayathri Anderson, Simon G. Gibson, John Martin Cardiovasc Endocrinol Metab Correspondence Wolters Kluwer Health 2022-01-28 /pmc/articles/PMC8805797/ /pubmed/35128337 http://dx.doi.org/10.1097/XCE.0000000000000257 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND)This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (CreativeCommonsAttribution-NonCommercial-NoDerivativesLicense4.0(CCBY-NC-ND)) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
| spellingShingle | Correspondence Heald, Adrian H. Jenkins, David A. Chaudhury, Nadia Williams, Richard Sperrin, Matthew Peek, Niels Ollier, William Bowden-Davies, Kelly Delanerolle, Gayathri Anderson, Simon G. Gibson, John Martin 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 |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | Correspondence |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805797/ https://www.ncbi.nlm.nih.gov/pubmed/35128337 http://dx.doi.org/10.1097/XCE.0000000000000257 |
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