Population vulnerability to COVID-19 in Europe: a burden of disease analysis
Abstract Background Evidence has emerged showing that elderly people and those with pre-existing chronic health conditions may be at higher risk of developing severe health consequences from COVID-19. In Europe, this is of particular relevance with ageing populations living with non-communicable dis...
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2020-05-01
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Online Access: | http://link.springer.com/article/10.1186/s13690-020-00433-y |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Grant M. A. Wyper Ricardo Assunção Sarah Cuschieri Brecht Devleeschauwer Eilidh Fletcher Juanita A. Haagsma Henk B. M. Hilderink Jane Idavain Tina Lesnik Elena Von der Lippe Marek Majdan Milena S. Milicevic Elena Pallari José L. Peñalvo Sara M. Pires Dietrich Plaß João V. Santos Diane L. Stockton Sofie Theresa Thomsen Ian Grant |
spellingShingle |
Grant M. A. Wyper Ricardo Assunção Sarah Cuschieri Brecht Devleeschauwer Eilidh Fletcher Juanita A. Haagsma Henk B. M. Hilderink Jane Idavain Tina Lesnik Elena Von der Lippe Marek Majdan Milena S. Milicevic Elena Pallari José L. Peñalvo Sara M. Pires Dietrich Plaß João V. Santos Diane L. Stockton Sofie Theresa Thomsen Ian Grant Population vulnerability to COVID-19 in Europe: a burden of disease analysis Archives of Public Health COVID-19 Coronavirus Burden of disease DALY YLD Summary measures of population health |
author_facet |
Grant M. A. Wyper Ricardo Assunção Sarah Cuschieri Brecht Devleeschauwer Eilidh Fletcher Juanita A. Haagsma Henk B. M. Hilderink Jane Idavain Tina Lesnik Elena Von der Lippe Marek Majdan Milena S. Milicevic Elena Pallari José L. Peñalvo Sara M. Pires Dietrich Plaß João V. Santos Diane L. Stockton Sofie Theresa Thomsen Ian Grant |
author_sort |
Grant M. A. Wyper |
title |
Population vulnerability to COVID-19 in Europe: a burden of disease analysis |
title_short |
Population vulnerability to COVID-19 in Europe: a burden of disease analysis |
title_full |
Population vulnerability to COVID-19 in Europe: a burden of disease analysis |
title_fullStr |
Population vulnerability to COVID-19 in Europe: a burden of disease analysis |
title_full_unstemmed |
Population vulnerability to COVID-19 in Europe: a burden of disease analysis |
title_sort |
population vulnerability to covid-19 in europe: a burden of disease analysis |
publisher |
BMC |
series |
Archives of Public Health |
issn |
2049-3258 |
publishDate |
2020-05-01 |
description |
Abstract Background Evidence has emerged showing that elderly people and those with pre-existing chronic health conditions may be at higher risk of developing severe health consequences from COVID-19. In Europe, this is of particular relevance with ageing populations living with non-communicable diseases, multi-morbidity and frailty. Published estimates of Years Lived with Disability (YLD) from the Global Burden of Disease (GBD) study help to characterise the extent of these effects. Our aim was to identify the countries across Europe that have populations at highest risk from COVID-19 by using estimates of population age structure and YLD for health conditions linked to severe illness from COVID-19. Methods Population and YLD estimates from GBD 2017 were extracted for 45 countries in Europe. YLD was restricted to a list of specific health conditions associated with being at risk of developing severe consequences from COVID-19 based on guidance from the United Kingdom Government. This guidance also identified individuals aged 70 years and above as being at higher risk of developing severe health consequences. Study outcomes were defined as: (i) proportion of population aged 70 years and above; and (ii) rate of YLD for COVID-19 vulnerable health conditions across all ages. Bivariate groupings were established for each outcome and combined to establish overall population-level vulnerability. Results Countries with the highest proportions of elderly residents were Italy, Greece, Germany, Portugal and Finland. When assessments of population-level YLD rates for COVID-19 vulnerable health conditions were made, the highest rates were observed for Bulgaria, Czechia, Croatia, Hungary and Bosnia and Herzegovina. A bivariate analysis indicated that the countries at high-risk across both measures of vulnerability were: Bulgaria; Portugal; Latvia; Lithuania; Greece; Germany; Estonia; and Sweden. Conclusion Routine estimates of population structures and non-fatal burden of disease measures can be usefully combined to create composite indicators of vulnerability for rapid assessments, in this case to severe health consequences from COVID-19. Countries with available results for sub-national regions within their country, or national burden of disease studies that also use sub-national levels for burden quantifications, should consider using non-fatal burden of disease estimates to estimate geographical vulnerability to COVID-19. |
topic |
COVID-19 Coronavirus Burden of disease DALY YLD Summary measures of population health |
url |
http://link.springer.com/article/10.1186/s13690-020-00433-y |
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doaj-9b8099169b444dcbada1f6de3a744dcc2020-11-25T03:10:56ZengBMCArchives of Public Health2049-32582020-05-017811810.1186/s13690-020-00433-yPopulation vulnerability to COVID-19 in Europe: a burden of disease analysisGrant M. A. Wyper0Ricardo Assunção1Sarah Cuschieri2Brecht Devleeschauwer3Eilidh Fletcher4Juanita A. Haagsma5Henk B. M. Hilderink6Jane Idavain7Tina Lesnik8Elena Von der Lippe9Marek Majdan10Milena S. Milicevic11Elena Pallari12José L. Peñalvo13Sara M. Pires14Dietrich Plaß15João V. Santos16Diane L. Stockton17Sofie Theresa Thomsen18Ian Grant19Place and Wellbeing Directorate, Public Health ScotlandFood and Nutrition Department, National Institute of Health Dr. Ricardo JorgeDepartment of Anatomy, Faculty of Medicine and Surgery, University of MaltaDepartment of Epidemiology and Public Health, SciensanoData Driven Innovation Directorate, Public Health ScotlandDepartment of Public Health, Erasmus MC University Medical CenterNational Institute for Public Health and the Environment (RIVM)National Institute for Health DevelopmentNational Institute of Public HealthDepartment of Epidemiology and Health Monitoring, Robert Koch InstituteDepartment of Public Health, Institute for Global Health and Epidemiology, Faculty of Health Sciences and Social Work, Trnava UniversityFaculty of Medicine University of BelgradeMRC Clinical Trials and Methodology Unit, University College LondonUnit of Noncommunicable Diseases, Department of Public Health, Institute of Tropical MedicineNational Food Institute, Technical University of DenmarkExposure Assessment and Environmental Health Indicators, German Environment AgencyMEDCIDS, Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of PortoPlace and Wellbeing Directorate, Public Health ScotlandNational Food Institute, Technical University of DenmarkData Driven Innovation Directorate, Public Health ScotlandAbstract Background Evidence has emerged showing that elderly people and those with pre-existing chronic health conditions may be at higher risk of developing severe health consequences from COVID-19. In Europe, this is of particular relevance with ageing populations living with non-communicable diseases, multi-morbidity and frailty. Published estimates of Years Lived with Disability (YLD) from the Global Burden of Disease (GBD) study help to characterise the extent of these effects. Our aim was to identify the countries across Europe that have populations at highest risk from COVID-19 by using estimates of population age structure and YLD for health conditions linked to severe illness from COVID-19. Methods Population and YLD estimates from GBD 2017 were extracted for 45 countries in Europe. YLD was restricted to a list of specific health conditions associated with being at risk of developing severe consequences from COVID-19 based on guidance from the United Kingdom Government. This guidance also identified individuals aged 70 years and above as being at higher risk of developing severe health consequences. Study outcomes were defined as: (i) proportion of population aged 70 years and above; and (ii) rate of YLD for COVID-19 vulnerable health conditions across all ages. Bivariate groupings were established for each outcome and combined to establish overall population-level vulnerability. Results Countries with the highest proportions of elderly residents were Italy, Greece, Germany, Portugal and Finland. When assessments of population-level YLD rates for COVID-19 vulnerable health conditions were made, the highest rates were observed for Bulgaria, Czechia, Croatia, Hungary and Bosnia and Herzegovina. A bivariate analysis indicated that the countries at high-risk across both measures of vulnerability were: Bulgaria; Portugal; Latvia; Lithuania; Greece; Germany; Estonia; and Sweden. Conclusion Routine estimates of population structures and non-fatal burden of disease measures can be usefully combined to create composite indicators of vulnerability for rapid assessments, in this case to severe health consequences from COVID-19. Countries with available results for sub-national regions within their country, or national burden of disease studies that also use sub-national levels for burden quantifications, should consider using non-fatal burden of disease estimates to estimate geographical vulnerability to COVID-19.http://link.springer.com/article/10.1186/s13690-020-00433-yCOVID-19CoronavirusBurden of diseaseDALYYLDSummary measures of population health |