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预测英国的 COVID-19 动态:短期预测和潜在退出策略分析。

Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies.

机构信息

The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom.

Midlands Integrative Biosciences Training Partnership, School of Life Sciences, University of Warwick, Coventry, United Kingdom.

出版信息

PLoS Comput Biol. 2021 Jan 22;17(1):e1008619. doi: 10.1371/journal.pcbi.1008619. eCollection 2021 Jan.

Abstract

Efforts to suppress transmission of SARS-CoV-2 in the UK have seen non-pharmaceutical interventions being invoked. The most severe measures to date include all restaurants, pubs and cafes being ordered to close on 20th March, followed by a "stay at home" order on the 23rd March and the closure of all non-essential retail outlets for an indefinite period. Government agencies are presently analysing how best to develop an exit strategy from these measures and to determine how the epidemic may progress once measures are lifted. Mathematical models are currently providing short and long term forecasts regarding the future course of the COVID-19 outbreak in the UK to support evidence-based policymaking. We present a deterministic, age-structured transmission model that uses real-time data on confirmed cases requiring hospital care and mortality to provide up-to-date predictions on epidemic spread in ten regions of the UK. The model captures a range of age-dependent heterogeneities, reduced transmission from asymptomatic infections and produces a good fit to the key epidemic features over time. We simulated a suite of scenarios to assess the impact of differing approaches to relaxing social distancing measures from 7th May 2020 on the estimated number of patients requiring inpatient and critical care treatment, and deaths. With regard to future epidemic outcomes, we investigated the impact of reducing compliance, ongoing shielding of elder age groups, reapplying stringent social distancing measures using region based triggers and the role of asymptomatic transmission. We find that significant relaxation of social distancing measures from 7th May onwards can lead to a rapid resurgence of COVID-19 disease and the health system being quickly overwhelmed by a sizeable, second epidemic wave. In all considered age-shielding based strategies, we projected serious demand on critical care resources during the course of the pandemic. The reintroduction and release of strict measures on a regional basis, based on ICU bed occupancy, results in a long epidemic tail, until the second half of 2021, but ensures that the health service is protected by reintroducing social distancing measures for all individuals in a region when required. Our work confirms the effectiveness of stringent non-pharmaceutical measures in March 2020 to suppress the epidemic. It also provides strong evidence to support the need for a cautious, measured approach to relaxation of lockdown measures, to protect the most vulnerable members of society and support the health service through subduing demand on hospital beds, in particular bed occupancy in intensive care units.

摘要

英国为抑制 SARS-CoV-2 的传播已采取了非药物干预措施。迄今为止最严厉的措施包括:所有餐馆、酒吧和咖啡馆于 3 月 20 日关闭,随后于 3 月 23 日下达“居家令”,所有非必要的零售商店无限期关闭。政府机构目前正在分析如何制定最佳退出策略,并确定一旦取消这些措施,疫情将如何发展。数学模型目前正在为英国 COVID-19 疫情的未来发展提供短期和长期预测,以支持循证决策。我们提出了一个确定性的、按年龄结构划分的传播模型,该模型使用实时的、需要住院治疗和死亡的确诊病例数据,对英国十个地区的疫情传播进行最新预测。该模型捕捉了一系列与年龄相关的异质性,减少了无症状感染的传播,并随着时间的推移很好地拟合了关键的疫情特征。我们模拟了一系列场景,以评估从 2020 年 5 月 7 日开始放宽社交距离措施对估计需要住院和重症监护治疗以及死亡的患者数量的影响。关于未来的疫情结果,我们研究了减少遵守情况、继续对老年群体进行隔离、使用基于地区的触发因素重新实施严格的社交距离措施以及无症状传播的作用的影响。我们发现,从 5 月 7 日起,大幅放宽社交距离措施可能会导致 COVID-19 疾病迅速复发,卫生系统很快被第二波大规模疫情所淹没。在所有考虑的基于年龄的隔离策略中,我们预测在大流行期间对重症监护资源的需求会很严重。基于 ICU 床位占用情况,在地区基础上重新引入和实施严格措施,会导致疫情长尾效应,直到 2021 年下半年,但通过在需要时为该地区的所有人重新实施社交距离措施,确保卫生服务得到保护。我们的工作证实了 2020 年 3 月严格的非药物措施抑制疫情的有效性。它还为谨慎、有节制地放松封锁措施提供了有力证据,以保护社会中最脆弱的成员,并通过减少对医院床位的需求来支持卫生服务,特别是 ICU 床位的占用率。

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