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Population vulnerability to COVID-19 in Europe: a burden of disease analysis

机译:欧洲Covid-19的人口脆弱性:疾病分析的负担

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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.? The Author(s) 2020.
机译:背景:出现了证据表明,老年人和具有预先存在的慢性健康状况的人可能处于从Covid-19发育严重健康后果的风险较高。在欧洲,这与患有非传染性疾病的老龄化种群特别相关,多发性发病率和脆弱。从全球疾病负担(GBD)研究有助于表征这些效果的程度,已与残疾人(YLD)出版估计。我们的宗旨是通过使用人口年龄结构和YLD与Covid -19与严重疾病相关的健康状况的估计,确定欧洲各国的欧洲国家的群体。方法:2017年GBD的人口和YLD估计数欧洲45个国家提取。 YLD仅限于与英国政府的指导为基于Covid-19产生严重后果的特定健康状况列表。本指南还确定了70岁以上的个体,以上较高的危险风险较高。研究结果被定义为:(i)70岁及以上人口的比例; (ii)在所有年龄段的Covid-19弱势健康状况的YLD率。为每个结果建立了一分匹配分组,并结合建立整体人口级漏洞。结果:具有最高的老年居民比例最高的国家是意大利,希腊,德国,葡萄牙和芬兰。当对CoVID-19弱势健康状况的人口级别的评估进行评估时,对保加利亚,捷克,克罗地亚,匈牙利和波斯尼亚和黑塞哥维那有最高的利率。一分达分析表明,跨越漏洞措施的高风险国家是:保加利亚;葡萄牙;拉脱维亚;立陶宛;希腊;德国;爱沙尼亚;和瑞典。结论:常规估计人口结构和疾病措施的非致命负担可以有利于创建脆弱性的复合指标,以便在这种情况下对Covid-19的严重健康后果。拥有其国家内部地区的现有成果的国家,或者疾病研究的国家负担也使用亚国家水平的负担量化,应考虑使用非致命的疾病负担估计来估算Covid-19的地理脆弱性。作者2020年。

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