Cancer Statistics: Availability and Location
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National Cancer Intelligence Networkcancer Statistics
National Cancer Intelligence Network Cancer statistics: availability and location February 2016 update Cancer statistics: availability and location. February 2016 update About Public Health England Public Health England exists to protect and improve the nation's health and wellbeing, and reduce health inequalities. It does this through world-class science, knowledge and intelligence, advocacy, partnerships and the delivery of specialist public health services. PHE is an operationally autonomous executive agency of the Department of Health. Public Health England Wellington House 133-155 Waterloo Road London SE1 8UG Tel: 020 7654 8000 www.gov.uk/phe Twitter: @PHE_uk Facebook: www.facebook.com/PublicHealthEngland Prepared by: members of the central analytical team at the National Cancer Intelligence Network (NCIN). © Crown copyright 2016 This publication is licensed under the terms of the Open Government Licence v3.0 except where otherwise stated. To view this licence, visit nationalarchives.gov.uk/doc/open-government- licence/version/3 or write to the Information Policy Team, The National Archives, Kew, London TW9 4DU, or email: [email protected] Where we have identified any third party copyright information you will need to obtain permission from the copyright holders concerned. Any enquiries regarding this publication should be sent to us at [email protected] Published February 2016 PHE publications gateway number: 2015635 This document is available in other formats on request. Please call 020 7654 8158 or email [email protected] 2 Cancer statistics: availability and location. February 2016 update The intelligence networks Public Health England operates a number of intelligence networks, which work with partners to develop world-class population health intelligence to help improve local, national and international public health systems. -
Epidemiology of COVID-19 in Prisons, England, 2020 Wendy M
Epidemiology of COVID-19 in Prisons, England, 2020 Wendy M. Rice, Dimple Y. Chudasama, James Lewis, Francis Senyah, Isaac Florence, Simon Thelwall, Lisa Glaser, Maciej Czachorowski, Emma Plugge, Hilary Kirkbride, Gavin Dabrera, Theresa Lamagni Using laboratory data and a novel address matching meth- Reference Number (UPRN) (2). We identifi ed prisons odology, we identifi ed 734 cases of coronavirus disease in using the property classes designated by UPRN. We 88 prisons in England during March 16–October 12, 2020. used ESRI LocatorHub software (https://www.es- An additional 412 cases were identifi ed in prison staff and riuk.com) for exact matching of case addresses to Ad- household members. We identifi ed 84 prison outbreaks dressBase. We used fuzzy matching on failed records involving 86% of all prison-associated cases. and manually matched remaining records. Laboratory records from national key worker ncarcerated persons are at an increased risk for se- testing were the sources for identifying prison staff Ivere acute respiratory syndrome coronavirus 2 and of symptomatic household members of key (SARS-CoV-2) transmission and illness because of both workers also eligible for testing. We were not able to the prison environment and the vulnerability of the link prison staff–associated cases to specifi c facilities residents (1,2). To limit spread in prisons in England, because workers’ residential addresses and not work- visitation restrictions were introduced, the population place addresses were provided; we could not extrap- was compartmentalized to limit movement, and an olate workplace on the basis of residence given the early release scheme was put in place (3,4). -
Smoking, Distress and COVID-19 in England: Cross-Sectional Population Surveys From
medRxiv preprint doi: https://doi.org/10.1101/2020.12.07.20245514; this version posted December 9, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . 1 Smoking, distress and COVID-19 in England: cross-sectional population surveys from 2 2016 to 2020 3 4 Loren Kock (PhD)1,2, Jamie Brown (PhD)1,2, Lion Shahab (PhD)1,2, Graham Moore (PhD)2,3, 5 Marie Horton,2,4 Leonie Brose (PhD)2,5 6 7 1Department of Behavioural Science and Health, University College London, WC1E 7HB, 8 UK 9 2SPECTRUM Research Consortium, Edinburgh, UK 10 3DECIPHer, School of Social Sciences, Cardiff University, Cardiff, UK 11 4Population Health Analysis Team, Public Health England 12 5Addictions, Institute of Psychiatry, Psychology and Neuroscience, King’s College London 13 14 Correspondence to: [email protected] 15 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.07.20245514; this version posted December 9, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . 1 Abstract 2 3 Background: Changes in the prevalence of mental health problems among smokers due to 4 the COVID-19 pandemic in England have important implications for existing health 5 inequalities. -
Excess Years of Life Lost to COVID-19 and Other Causes of Death by Sex, Neighbourhood Deprivation and Region in England & Wales During 2020
medRxiv preprint doi: https://doi.org/10.1101/2021.07.05.21259786; this version posted July 7, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Excess years of life lost to COVID-19 and other causes of death by sex, neighbourhood deprivation and region in England & Wales during 2020 Evangelos Kontopantelis, PhD. Professor in Data Science and Health Services Research1,2,3 Mamas A. Mamas, BMBCh DPhil MA FRCP. Professor of Cardiology1,4,5 Roger T. Webb, PhD. Professor of Mental Health Epidemiology6,7 Ana Castro-Avila, PhD. Research Fellow in Health Sciences8 Martin K. Rutter, MD FRCP. Professor of Cardiometabolic Medicine9,10 Chris P. Gale, BSc, MBBS, PhD, MEd, MSc, FRCP, FESC. Professor of Cardiovascular Medicine11,12,13 Darren M. Ashcroft, PhD. Professor of Pharmacoepidemiology2,7,14 Matthias Pierce, PhD. Research Fellow in Psychology and Mental Health15 Kathryn M. Abel MA MBBS FRCP FRCPsych PhD. Professor of Psychological Medicine15 Gareth Price, PhD. Clinical Scientist in Oncology16 Corinne Faivre-Finn MD. Professor of Thoracic Radiation Oncology16 Harriette G.C. Van Spall MD MPH. Associate Professor in Cardiology17 Michelle M. Graham, MD, FRCPC. Professor in Cardiology18 Marcello Morciano, PhD. Senior lecturer in Health Policy and Economics2,3 Glen P. Martin, PhD. Lecturer in Health Data Sciences1 Matt Sutton, PhD. Professor in Health Economics2 -
Second Quarterly Report on Progress to Address COVID-19 Health Inequalities
Second quarterly report on progress to address COVID-19 health inequalities February 2021 © Crown copyright 2021 Produced by Race Disparity Unit, Cabinet Office You may re-use this information (excluding logos) free of charge in any format or medium, under the terms of the Open Government Licence. To view this licence, visit http://www.nationalarchives.gov.uk/doc/open-government-licence/ or email: [email protected] Where we have identified any third-party copyright material you will need to obtain permission from the copyright holders concerned. Contents Introduction 2 Summary 3 Next steps 5 1. Measures to address COVID-19 disparities 7 Summary 7 Approach and results 7 Next steps 14 2: Data and evidence 15 Summary 15 Approach 16 Results 16 3. Stakeholder engagement 35 Summary 35 Approach 35 4. Communications 38 Summary 38 Approach 38 Annex A: Summary of progress against recommendations from the first quarterly report 43 Annex B: Summary of government actions to address disparities 51 Annex C - Further data and evidence 60 Annex D - Multicultural media partners and example content 80 1 Introduction In June 2020, the Prime Minister and the Secretary of State for Health and Social Care asked the Minister for Equalities, Kemi Badenoch MP, to lead cross-government work following publication of the Public Health England (PHE) report COVID-19: review of disparities in risks and outcomes1. The Minister for Equalities published her first progress report on 22 October. This is the second report in this year-long project, which has been submitted to the Prime Minister and the Secretary of State for Health and Social Care in line with the terms of reference2. -
Estimating the Burden of COVID-19 Pandemic on Mortality, Life Expectancy and Lifespan Inequality in England and Wales: a Population-Level Analysis
medRxiv preprint doi: https://doi.org/10.1101/2020.07.16.20155077; this version posted December 9, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license . Title: Estimating the burden of COVID-19 pandemic on mortality, life expectancy and lifespan inequality in England and Wales: A population-level analysis Authors: José Manuel Aburto, Newton fellow1,2, Ridhi Kashyap, associate professor1, Jonas Schöley, postdoctoral research fellow2, Colin Angus, senior research fellow3, John Ermisch, professor1, Melinda C. Mills, professor1, Jennifer Beam Dowd, associate professor1 Affiliations: 1 Leverhulme Centre for Demographic Science, Department of Sociology and Nuffield College, University of Oxford, 42-43 Park End Street, OX1 1JD Oxford, UK. 2 Interdisciplinary Centre on Population Dynamics, University of Southern Denmark, Odense 5000, Denmark. 3 School of Health and Related Research, University of Sheffield, Regent Court, Regent Street, S1 4DA Sheffield, UK Correspondence to: José Manuel Aburto 42-43 Park End Street, OX1 1JD Oxford, UK. Email: [email protected] Tel: +45 31712122 ORCID: 0000-0002-2926-6879 OR Ridhi Kashyap Nuffield College, New Road, Oxford OX1 1NF Email: [email protected] ORCID: 0000-0003-0615-2868 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. 1 medRxiv preprint doi: https://doi.org/10.1101/2020.07.16.20155077; this version posted December 9, 2020. -
Direct and Indirect Impacts of COVID-19 on Excess Deaths and Morbidity: Executive Summary
Direct and Indirect Impacts of COVID-19 on Excess Deaths and Morbidity: Executive Summary Department of Health and Social Care, Office for National Statistics, Government Actuary’s Department and Home Office 15 July 2020 Background The COVID-19 pandemic will impact the health of many people in England and unfortunately many people will lose their lives. This paper provides a summary of research and analysis, discussing and estimating the health impacts (both excess deaths1 and morbidity) from the pandemic. Impacts of the pandemic may be direct from COVID-19 or may be indirect from changes to the healthcare system or lockdown measures. We conceptualise harm to health using the following four categories: A. Health impacts from contracting COVID-19 (A) B. Health outcomes for COVID-19 worsened because of lack of NHS critical care capacity (B) C. Health impacts from changes to health and social care made in order to respond to COVID- 19, such as changes to emergency care (C1), changes to adult social care (C2), changes to elective care (C3) and changes to primary and community care (C4). D. Health impacts from factors affecting the wider population, both from social distancing measures (D1) and the economic impacts increasing deprivation (D2). The results are briefly discussed in the section below; summary tables of the mortality and morbidity impacts can also be found below. Methodology and scope It is important to note that the estimates presented are based on scenarios; they do not represent forecasts. This paper was written in the middle of the pandemic; the estimates represent a point in time, using evidence from the initial months of the pandemic to model scenarios going forwards.