Medical Research Council Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Respiratory Sciences, University of Leicester, Leicester, UK.
Int J Infect Dis. 2021 Mar;104:132-138. doi: 10.1016/j.ijid.2020.12.055. Epub 2020 Dec 23.
The ongoing coronavirus disease 2019 (COVID-19) pandemic has caused a tremendous health burden and impact on the world economy. The UK Government implemented the biggest lockdown of society during peacetime in British history at the end of March 2020, aiming to contain the rapid spread of the virus. The UK lockdown was maintained for 7 weeks, but the effectiveness of the control measures in suppressing disease transmission remains incompletely understood.
A Bayesian SEIR (susceptible-exposed-infected-removed) epidemiological model was used to rebuild the local transmission dynamics of the spread of COVID-19 in nine regions of England.
The basic reproduction number (R) in England was found to be relatively high compared with China. The estimate of the temporally varying effective reproduction number (R) suggests that the control measures, especially the forced lockdown, were effective to reduce transmissibility and curb the COVID-19 epidemic. Although the overall incidence rate in the UK has declined, forecasting highlights the possibility of a second epidemic wave in several regions.
This study enhances understanding of the current outbreak and the effectiveness of control measures in the UK.
正在持续的 2019 年冠状病毒病(COVID-19)大流行给世界经济带来了巨大的健康负担和影响。2020 年 3 月底,英国政府实施了英国历史上和平时期最大规模的社会封锁,旨在遏制病毒的快速传播。英国封锁持续了 7 周,但控制措施在抑制疾病传播方面的效果仍不完全清楚。
使用贝叶斯 SEIR(易感-暴露-感染-清除)传染病模型重建英格兰九个地区 COVID-19 传播的本地传播动态。
与中国相比,英国的基本繁殖数(R)相对较高。时变有效繁殖数(R)的估计表明,控制措施,特别是强制性封锁,对于降低传染性和遏制 COVID-19 疫情是有效的。尽管英国的总体发病率有所下降,但预测强调了几个地区可能出现第二波疫情。
本研究增进了对英国当前疫情和控制措施效果的理解。