• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

分层限制和第二次封锁与英格兰 COVID-19 死亡和住院人数的关联:一项建模研究。

Association of tiered restrictions and a second lockdown with COVID-19 deaths and hospital admissions in England: a modelling study.

机构信息

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

出版信息

Lancet Infect Dis. 2021 Apr;21(4):482-492. doi: 10.1016/S1473-3099(20)30984-1. Epub 2020 Dec 24.

DOI:10.1016/S1473-3099(20)30984-1
PMID:33357518
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7758181/
Abstract

BACKGROUND

A second wave of COVID-19 cases in autumn, 2020, in England led to localised, tiered restrictions (so-called alert levels) and, subsequently, a second national lockdown. We examined the impact of these tiered restrictions, and alternatives for lockdown stringency, timing, and duration, on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission and hospital admissions and deaths from COVID-19.

METHODS

We fit an age-structured mathematical model of SARS-CoV-2 transmission to data on hospital admissions and hospital bed occupancy (ISARIC4C/COVID-19 Clinical Information Network, National Health Service [NHS] England), seroprevalence (Office for National Statistics, UK Biobank, REACT-2 study), virology (REACT-1 study), and deaths (Public Health England) across the seven NHS England regions from March 1, to Oct 13, 2020. We analysed mobility (Google Community Mobility) and social contact (CoMix study) data to estimate the effect of tiered restrictions implemented in England, and of lockdowns implemented in Northern Ireland and Wales, in October, 2020, and projected epidemiological scenarios for England up to March 31, 2021.

FINDINGS

We estimated a reduction in the effective reproduction number (R) of 2% (95% credible interval [CrI] 0-4) for tier 2, 10% (6-14) for tier 3, 35% (30-41) for a Northern Ireland-stringency lockdown with schools closed, and 44% (37-49) for a Wales-stringency lockdown with schools closed. From Oct 1, 2020, to March 31, 2021, a projected COVID-19 epidemic without tiered restrictions or lockdown results in 280 000 (95% projection interval 274 000-287 000) hospital admissions and 58 500 (55 800-61 100) deaths. Tiered restrictions would reduce hospital admissions to 238 000 (231 000-245 000) and deaths to 48 600 (46 400-50 700). From Nov 5, 2020, a 4-week Wales-type lockdown with schools remaining open-similar to the lockdown measures announced in England in November, 2020-was projected to further reduce hospital admissions to 186 000 (179 000-193 000) and deaths to 36 800 (34 900-38 800). Closing schools was projected to further reduce hospital admissions to 157 000 (152 000-163 000) and deaths to 30 300 (29 000-31 900). A projected lockdown of greater than 4 weeks would reduce deaths but would bring diminishing returns in reducing peak pressure on hospital services. An earlier lockdown would have reduced deaths and hospitalisations in the short term, but would lead to a faster resurgence in cases after January, 2021. In a post-hoc analysis, we estimated that the second lockdown in England (Nov 5-Dec 2) reduced R by 22% (95% CrI 15-29), rather than the 32% (25-39) reduction estimated for a Wales-stringency lockdown with schools open.

INTERPRETATION

Lockdown measures outperform less stringent restrictions in reducing cumulative deaths. We projected that the lockdown policy announced to commence in England on Nov 5, with a similar stringency to the lockdown adopted in Wales, would reduce pressure on the health service and would be well timed to suppress deaths over the winter period, while allowing schools to remain open. Following completion of the analysis, we analysed new data from November, 2020, and found that despite similarities in policy, the second lockdown in England had a smaller impact on behaviour than did the second lockdown in Wales, resulting in more deaths and hospitalisations than we originally projected when focusing on a Wales-stringency scenario for the lockdown.

FUNDING

Horizon 2020, UK Medical Research Council, and the National Institute for Health Research.

摘要

背景

2020 年秋季,英格兰出现第二波 COVID-19 病例,导致实施了局部、分层限制措施(即所谓的警戒级别),随后又实施了全国第二次封锁。我们研究了这些分层限制措施,以及封锁严格程度、时间和持续时间的替代方案对严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)传播以及 COVID-19 住院和死亡的影响。

方法

我们拟合了一个年龄结构的 SARS-CoV-2 传播数学模型,该模型基于医院入院和医院床位占用情况(ISARIC4C/COVID-19 临床信息网络,英国国民保健署 [NHS] 英格兰)、血清阳性率(英国国家统计局、英国生物银行、REACT-2 研究)、病毒学(REACT-1 研究)和死亡情况(英国公共卫生部)的数据,这些数据来自英格兰的七个 NHS 英格兰地区,时间从 2020 年 3 月 1 日至 10 月 13 日。我们分析了移动性(谷歌社区流动性)和社交接触(CoMix 研究)数据,以估计英格兰在 2020 年 10 月实施的分层限制措施以及北爱尔兰和威尔士实施的封锁措施的效果,并对英格兰截至 2021 年 3 月 31 日的流行病学情景进行了预测。

发现

我们估计,第 2 级限制措施将有效繁殖数(R)降低 2%(95%可信区间[CrI] 0-4),第 3 级限制措施降低 10%(6-14),北爱尔兰严格封锁且关闭学校将降低 35%(30-41),威尔士严格封锁且关闭学校将降低 44%(37-49)。从 2020 年 10 月 1 日至 2021 年 3 月 31 日,如果没有分层限制或封锁措施,预计 COVID-19 疫情将导致 28 万(95%预测区间为 27.4 万至 28.7 万)人住院和 5850 人死亡(5580 人至 6110 人)。分层限制措施将使住院人数减少到 23.8 万(23.1 万至 24.5 万),死亡人数减少到 4.86 万(4.64 万至 5.07 万)。从 2020 年 11 月 5 日起,实施类似于 2020 年 11 月在英格兰宣布的封锁措施的为期 4 周的威尔士式封锁,预计将进一步使住院人数减少到 18.6 万(17.9 万至 19.3 万),死亡人数减少到 3.68 万(3.49 万至 3.88 万)。关闭学校预计将进一步使住院人数减少到 15.7 万(15.2 万至 16.3 万),死亡人数减少到 3 万(2.9 万至 3.1 万)。封锁时间超过 4 周将减少死亡人数,但会使医院服务压力的减少效果逐渐减弱。更早的封锁将在短期内减少死亡和住院人数,但会导致 2021 年 1 月后病例迅速反弹。在事后分析中,我们估计英格兰的第二次封锁(11 月 5 日至 12 月 2 日)将 R 降低了 22%(15-29),而不是像威尔士严格封锁且关闭学校那样将 R 降低 32%(25-39)。

解释

封锁措施在减少累计死亡人数方面优于较不严格的限制措施。我们预测,英格兰将于 2020 年 11 月 5 日开始实施的封锁政策,其严格程度与威尔士的封锁政策类似,将减轻医疗服务的压力,并将有助于在冬季期间抑制死亡人数,同时允许学校继续开放。在完成分析后,我们分析了 2020 年 11 月的新数据,发现尽管政策相似,但与威尔士的第二次封锁相比,英格兰的第二次封锁对行为的影响较小,导致死亡人数和住院人数比我们最初专注于威尔士式封锁方案时预计的要多。

资金

Horizon 2020、英国医学研究理事会和英国国家健康研究所。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4b/7992033/39c51d4a13a8/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4b/7992033/b7e596463fe7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4b/7992033/fc262093be77/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4b/7992033/39c51d4a13a8/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4b/7992033/b7e596463fe7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4b/7992033/fc262093be77/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4b/7992033/39c51d4a13a8/gr3.jpg

相似文献

1
Association of tiered restrictions and a second lockdown with COVID-19 deaths and hospital admissions in England: a modelling study.分层限制和第二次封锁与英格兰 COVID-19 死亡和住院人数的关联:一项建模研究。
Lancet Infect Dis. 2021 Apr;21(4):482-492. doi: 10.1016/S1473-3099(20)30984-1. Epub 2020 Dec 24.
2
Non-pharmaceutical interventions, vaccination, and the SARS-CoV-2 delta variant in England: a mathematical modelling study.非药物干预措施、疫苗接种和 SARS-CoV-2 德尔塔变异株在英国:一项数学建模研究。
Lancet. 2021 Nov 13;398(10313):1825-1835. doi: 10.1016/S0140-6736(21)02276-5. Epub 2021 Oct 28.
3
Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study.非药物干预对英国 COVID-19 病例、死亡和医院服务需求的影响:一项建模研究。
Lancet Public Health. 2020 Jul;5(7):e375-e385. doi: 10.1016/S2468-2667(20)30133-X. Epub 2020 Jun 2.
4
COVID-19 among people experiencing homelessness in England: a modelling study.英格兰无家可归人群中的 COVID-19:一项建模研究。
Lancet Respir Med. 2020 Dec;8(12):1181-1191. doi: 10.1016/S2213-2600(20)30396-9. Epub 2020 Sep 23.
5
COVID-19 UK Lockdown Forecasts and R .COVID-19 英国封锁预测和 R 。
Front Public Health. 2020 May 29;8:256. doi: 10.3389/fpubh.2020.00256. eCollection 2020.
6
Quantifying the effect of delaying the second COVID-19 vaccine dose in England: a mathematical modelling study.量化延迟在英格兰接种第二剂 COVID-19 疫苗的效果:一项数学建模研究。
Lancet Public Health. 2023 Mar;8(3):e174-e183. doi: 10.1016/S2468-2667(22)00337-1. Epub 2023 Feb 9.
7
Modelling the impact of reopening schools in the UK in early 2021 in the presence of the alpha variant and with roll-out of vaccination against SARS-CoV-2.模拟在2021年初英国重新开学、出现阿尔法变异毒株以及开展针对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)疫苗接种的情况下所产生的影响。
J Math Anal Appl. 2022 Oct 15;514(2):126050. doi: 10.1016/j.jmaa.2022.126050. Epub 2022 Feb 5.
8
Impact of first UK COVID-19 lockdown on hospital admissions: Interrupted time series study of 32 million people.英国首次新冠疫情封锁对住院人数的影响:对3200万人的中断时间序列研究。
EClinicalMedicine. 2022 Jul;49:101462. doi: 10.1016/j.eclinm.2022.101462. Epub 2022 May 20.
9
Impact of tiered restrictions in December 2020 on COVID-19 hospitalisations in England: a synthetic control study.2020年12月分层限制措施对英格兰新冠肺炎住院情况的影响:一项合成对照研究
BMJ Open. 2025 Jan 4;15(1):e086802. doi: 10.1136/bmjopen-2024-086802.
10
Temporal trends and forecasting of COVID-19 hospitalisations and deaths in Scotland using a national real-time patient-level data platform: a statistical modelling study.使用国家实时患者层面数据平台对苏格兰新冠肺炎住院和死亡情况的时间趋势及预测:一项统计建模研究
Lancet Digit Health. 2021 Aug;3(8):e517-e525. doi: 10.1016/S2589-7500(21)00105-9. Epub 2021 Jul 5.

引用本文的文献

1
Trends in Avoidable Hospitalizations Before and During the COVID-19 Pandemic: Multiple Cross-Sectional Study Using Administrative Data From Beijing, China.COVID-19大流行之前及期间可避免住院情况的趋势:利用中国北京行政数据进行的多项横断面研究
JMIR Public Health Surveill. 2025 Jul 3;11:e69768. doi: 10.2196/69768.
2
Explaining international differences in excess mortality due to Covid-19.解释新冠疫情导致的超额死亡率的国际差异。
Sci Rep. 2025 Apr 22;15(1):13879. doi: 10.1038/s41598-025-92403-z.
3
Effectiveness of non-pharmaceutical interventions as implemented in the UK during the COVID-19 pandemic: a rapid review.

本文引用的文献

1
Precautionary breaks: Planned, limited duration circuit breaks to control the prevalence of SARS-CoV2 and the burden of COVID-19 disease.防范性暂停:有计划的、有限持续时间的电路中断,以控制 SARS-CoV2 的流行和 COVID-19 疾病的负担。
Epidemics. 2021 Dec;37:100526. doi: 10.1016/j.epidem.2021.100526. Epub 2021 Dec 2.
2
Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implications.评估 COVID-19 感染病死率的年龄特异性:系统评价、荟萃分析及公共政策意义。
Eur J Epidemiol. 2020 Dec;35(12):1123-1138. doi: 10.1007/s10654-020-00698-1. Epub 2020 Dec 8.
3
新冠疫情期间英国实施的非药物干预措施的有效性:一项快速综述。
J Public Health (Oxf). 2025 May 29;47(2):268-302. doi: 10.1093/pubmed/fdaf017.
4
Impact of non-pharmacological interventions on the first wave of COVID-19 in Portugal 2020.非药物干预措施对2020年葡萄牙第一波新冠疫情的影响
Heliyon. 2025 Jan 31;11(4):e41569. doi: 10.1016/j.heliyon.2024.e41569. eCollection 2025 Feb 28.
5
Impact of tiered restrictions in December 2020 on COVID-19 hospitalisations in England: a synthetic control study.2020年12月分层限制措施对英格兰新冠肺炎住院情况的影响:一项合成对照研究
BMJ Open. 2025 Jan 4;15(1):e086802. doi: 10.1136/bmjopen-2024-086802.
6
Central Precocious Puberty During the COVID-19 Pandemic Period: A Systematic Review of Literature.新冠疫情期间的中枢性性早熟:文献系统综述
Cureus. 2024 Oct 7;16(10):e71002. doi: 10.7759/cureus.71002. eCollection 2024 Oct.
7
Effects of non-pharmaceutical interventions on COVID-19 transmission: rapid review of evidence from Italy, the United States, the United Kingdom, and China.非药物干预措施对 COVID-19 传播的影响:来自意大利、美国、英国和中国的证据快速审查。
Front Public Health. 2024 Oct 17;12:1426992. doi: 10.3389/fpubh.2024.1426992. eCollection 2024.
8
Incorporating Social Determinants of Health in Infectious Disease Models: A Systematic Review of Guidelines.将健康的社会决定因素纳入传染病模型:指南的系统评价。
Med Decis Making. 2024 Oct;44(7):742-755. doi: 10.1177/0272989X241280611. Epub 2024 Sep 21.
9
Patients' use of Danish emergency medical services before and during the COVID-19 pandemic: a register-based study.在 COVID-19 大流行之前和期间,丹麦患者对紧急医疗服务的使用:一项基于登记的研究。
Scand J Trauma Resusc Emerg Med. 2024 Sep 19;32(1):92. doi: 10.1186/s13049-024-01267-1.
10
Effects of mobility, immunity and vaccination on SARS-CoV-2 transmission in the Dominican Republic: a modelling study.行动能力、免疫力和疫苗接种对多米尼加共和国新冠病毒传播的影响:一项建模研究。
Lancet Reg Health Am. 2024 Aug 30;37:100860. doi: 10.1016/j.lana.2024.100860. eCollection 2024 Sep.
Genomic evidence for reinfection with SARS-CoV-2: a case study.
基因组证据表明 SARS-CoV-2 再次感染:一项案例研究。
Lancet Infect Dis. 2021 Jan;21(1):52-58. doi: 10.1016/S1473-3099(20)30764-7. Epub 2020 Oct 12.
4
Four-tier response system and spatial propagation of COVID-19 in China by a network model.四层次应对体系与中国 COVID-19 的空间传播:网络模型视角
Math Biosci. 2020 Dec;330:108484. doi: 10.1016/j.mbs.2020.108484. Epub 2020 Oct 9.
5
Age-dependent effects in the transmission and control of COVID-19 epidemics.年龄相关因素对 COVID-19 疫情传播和防控的影响。
Nat Med. 2020 Aug;26(8):1205-1211. doi: 10.1038/s41591-020-0962-9. Epub 2020 Jun 16.
6
Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study.非药物干预对英国 COVID-19 病例、死亡和医院服务需求的影响:一项建模研究。
Lancet Public Health. 2020 Jul;5(7):e375-e385. doi: 10.1016/S2468-2667(20)30133-X. Epub 2020 Jun 2.
7
Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study.使用 ISARIC WHO 临床特征协议住院的 20133 例英国新冠患者的特征:前瞻性观察队列研究。
BMJ. 2020 May 22;369:m1985. doi: 10.1136/bmj.m1985.
8
Estimating the burden of SARS-CoV-2 in France.估算法国 SARS-CoV-2 的负担。
Science. 2020 Jul 10;369(6500):208-211. doi: 10.1126/science.abc3517. Epub 2020 May 13.
9
Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK.量化身体距离措施对英国 COVID-19 传播的影响。
BMC Med. 2020 May 7;18(1):124. doi: 10.1186/s12916-020-01597-8.
10
Social contacts and mixing patterns relevant to the spread of infectious diseases.与传染病传播相关的社交接触和混合模式。
PLoS Med. 2008 Mar 25;5(3):e74. doi: 10.1371/journal.pmed.0050074.