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.

Abstract

Adrian H. Heald, David A. Jenkins, Nadia Chaudhury, Richard Williams, Matthew Sperrin, Niels Peek, William Ollier, Kelly Bowden-Davies, Gayathri Delanerolle, Simon G. Anderson and John Martin Gibson, The School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, University Hospitals Coventry and Warwickshire, Coventry, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, Department of Sport and Exercise Sciences, Musculoskeletal Science and Sports Medicine Research Centre, Manchester Metropolitan University, Manchester, Nuffield Department of Primary Health Care Science, University of Oxford (Substantive), Oxford, Clinical Research Facility, Southern Health NHS Foundation Trust (Honorary), Southampton, UK, The George Alleyne Chronic Disease Research Centre, University of the West Indies, Cave Hill Campus, Bridgetown, Barbados and Division of Cardiovascular Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK