Excess deaths from COVID-19 and other causes by region, neighbourhood deprivation level and place of death during the first 30 weeks of the pandemic in England and Wales: A retrospective registry study.
Excess deaths from COVID-19 and other causes by region, neighbourhood deprivation level and place of death during the first 30 weeks of the pandemic in England and Wales: A retrospective registry study.
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DOI：
10.1016/j.lanepe.2021.100144
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发表时间：
2021-08
期刊：
影响因子：
--
通讯作者：
Doran T
中科院分区：
文献类型：
--
作者：
Kontopantelis E;Mamas MA;Webb RT;Castro A;Rutter MK;Gale CP;Ashcroft DM;Pierce M;Abel KM;Price G;Faivre-Finn C;Van Spall HGC;Graham MM;Morciano M;Martin GP;Doran T
与历史趋势预期的死亡人数相比，新冠肺炎大流行期间的多出死亡人数在地理和社会经济上都是不平等的。并非所有的超额死亡都与新冠肺炎感染直接相关。我们调查了大流行期间主要潜在原因群体的超额死亡的地理和社会经济模式。英格兰和威尔士2014年12月27日至2020年2月10日的每周死亡率数据来自国家统计局。采用负二项回归方法对新冠肺炎大流行前30周内(7/3/2020-2/10/2020)内由新冠肺炎(和其他呼吸系统原因)直接造成的死亡和由其间接造成的死亡(心血管疾病或糖尿病、癌症和所有其他间接原因)的死亡趋势进行建模。在大流行的前30周，英格兰和威尔士有62,321人(95%可信区间：58,849到65,793)多死。其中，46,221人(95%CI：45,439至47,003)可归因于包括新冠肺炎在内的呼吸系统原因，16,100人(95%CI：13,410至18,790)可归因于其他原因。全因超额死亡率从英格兰西南部和威尔士的每10万人中有78人，到西米德兰兹郡的每10万人中有130人；最富裕的五分之一地区的每10万人中有93人，到最贫穷的人中的每10万人中有124人。最贫困地区的新冠肺炎和其他间接死亡的死亡率最高，但心血管疾病/糖尿病和癌症的过度死亡没有社会经济梯度。在新冠肺炎大流行的前30周，呼吸系统原因的额外死亡人数存在显著的地理和社会经济差异，但心血管疾病、糖尿病和癌症的死亡人数没有变化。大流行恢复计划，包括疫苗接种方案，应考虑到包括健康、社会经济地位和居住地在内的个人特征。没有。
Excess deaths during the COVID-19 pandemic compared with those expected from historical trends have been unequally distributed, both geographically and socioeconomically. Not all excess deaths have been directly related to COVID-19 infection. We investigated geographical and socioeconomic patterns in excess deaths for major groups of underlying causes during the pandemic. Weekly mortality data from 27/12/2014 to 2/10/2020 for England and Wales were obtained from the Office of National Statistics. Negative binomial regressions were used to model death counts based on pre-pandemic trends for deaths caused directly by COVID-19 (and other respiratory causes) and those caused indirectly by it (cardiovascular disease or diabetes, cancers, and all other indirect causes) over the first 30 weeks of the pandemic (7/3/2020–2/10/2020). There were 62,321 (95% CI: 58,849 to 65,793) excess deaths in England and Wales in the first 30 weeks of the pandemic. Of these, 46,221 (95% CI: 45,439 to 47,003) were attributable to respiratory causes, including COVID-19, and 16,100 (95% CI: 13,410 to 18,790) to other causes. Rates of all-cause excess mortality ranged from 78 per 100,000 in the South West of England and in Wales to 130 per 100,000 in the West Midlands; and from 93 per 100,000 in the most affluent fifth of areas to 124 per 100,000 in the most deprived. The most deprived areas had the highest rates of death attributable to COVID-19 and other indirect deaths, but there was no socioeconomic gradient for excess deaths from cardiovascular disease/diabetes and cancer. During the first 30 weeks of the COVID-19 pandemic there was significant geographic and socioeconomic variation in excess deaths for respiratory causes, but not for cardiovascular disease, diabetes and cancer. Pandemic recovery plans, including vaccination programmes, should take account of individual characteristics including health, socioeconomic status and place of residence. None.
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影响因子：
64.3
作者：
Pirkis, Jane;John, Ann;Shin, Sangsoo;DelPozo-Banos, Marcos;Arya, Vikas;Analuisa-Aguilar, Pablo;Appleby, Louis;Arensman, Ella;Bantjes, Jason;Baran, Anna;Bertolote, Jose;Borges, Guilherme;Brecic, Petrana;Caine, Eric;Castelpietra, Giulio;Chang, Shu-Sen;Colchester, David;Crompton, David;Curkovic, Marko;Deisenhammer, Eberhard;Du, Chengan;Dwyer, Jeremy;Erlangsen, Annette;Faust, Jeremy;Fortune, Sarah;Garrett, Andrew;George, Devin;Gerstner, Rebekka;Gilissen, Renske;Gould, Madelyn;Hawton, Keith;Kanter, Joseph;Kapur, Navneet;Khan, Murad;Kirtley, Olivia;Knipe, Duleeka;Kolves, Kairi;Leske, Stuart;Marahatta, Kedar;Mittendorfer-Rutz, Ellenor;Neznanov, Nikolay;Niederkrotenthaler, Thomas;Nielsen, Emma;Nordentoft, Merete;Oberlerchner, Herwig;O'Connor, Rory;Pearson, Melissa;Phillips, Michael;Platt, Steve;Plener, Paul;Psota, Georg;Qin, Ping;Radeloff, Daniel;Rados, Christa;Reif, Andreas;Reif-Leonhard, Christine;Rozanov, Vsevolod;Schlang, Christiane;Schneider, Barbara;Semenova, Natalia;Sinyor, Mark;Townsend, Ellen;Ueda, Michiko;Vijayakumar, Lakshmi;Webb, Roger;Weerasinghe, Manjula;Zalsman, Gil;Gunnell, David;Spittal, Matthew
通讯作者：
Spittal, Matthew
影响因子：
5.7
作者：
Brant, Luisa Campos Caldeira;Nascimento, Bruno Ramos;Ribeiro, Antonio Luiz Pinho
通讯作者：
Ribeiro, Antonio Luiz Pinho
影响因子：
11.1
作者：
Rashid M;Wu J;Timmis A;Curzen N;Clarke S;Zaman A;Nolan J;Shoaib A;Mohamed MO;de Belder MA;Deanfield J;Gale CP;Mamas MA
通讯作者：
Mamas MA
影响因子：
9.3
作者：
Morciano M;Stokes J;Kontopantelis E;Hall I;Turner AJ
通讯作者：
Turner AJ
影响因子：
3.7
作者：
Arevalo-Rodriguez I;Buitrago-Garcia D;Simancas-Racines D;Zambrano-Achig P;Del Campo R;Ciapponi A;Sued O;Martinez-García L;Rutjes AW;Low N;Bossuyt PM;Perez-Molina JA;Zamora J
通讯作者：
Zamora J