Non-pharmaceutical interventions, vaccination, and the SARS-CoV-2 delta variant in England: a mathematical modelling study

被引:111
|
作者
Sonabend, Raphael [1 ]
Whittles, Lilith K. [1 ,2 ,3 ]
Imai, Natsuko [1 ]
Perez-Guzman, Pablo N. [1 ]
Knock, Edward S. [1 ,2 ]
Rawson, Thomas [1 ]
Gaythorpe, Katy A. M. [1 ]
Djaafara, Bimandra A. [1 ]
Hinsley, Wes [1 ]
FitzJohn, Richard G. [1 ]
Lees, John A. [1 ]
Kanapram, Divya Thekke [1 ]
Volz, Erik M. [1 ]
Ghani, Azra C. [1 ]
Ferguson, Neil M. [1 ,2 ]
Baguelin, Marc [1 ,2 ,4 ]
Cori, Anne [1 ,2 ]
机构
[1] Imperial Coll London, Jameel Inst, Sch Publ Hlth, MRC Ctr Global Infect Dis Anal, London W2 1PG, England
[2] London Sch Hyg & Trop Med, Publ Hlth England, Imperial Coll London, Natl Inst Hlth Res Hlth Protect Res Unit Modellin, London, England
[3] Publ Hlth England, Modelling & Econ Unit, Natl Infect Serv, London, England
[4] London Sch Hyg & Trop Med, Fac Epidemiol & Populat Hlth, Dept Infect Dis Epidemiol, London, England
来源
LANCET | 2021年 / 398卷 / 10313期
基金
英国惠康基金; 英国医学研究理事会;
关键词
SCOTLAND;
D O I
10.1016/S0140-6736(21)02276-5
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background England's COVID-19 roadmap out of lockdown policy set out the timeline and conditions for the stepwise lifting of non-pharmaceutical interventions (NPIs) as vaccination roll-out continued, with step one starting on March 8, 2021. In this study, we assess the roadmap, the impact of the delta (B.1.617.2) variant of SARS-CoV-2, and potential future epidemic trajectories. Methods This mathematical modelling study was done to assess the UK Government's four-step process to easing lockdown restrictions in England, UK. We extended a previously described model of SARS-CoV-2 transmission to incorporate vaccination and multi-strain dynamics to explicitly capture the emergence of the delta variant. We calibrated the model to English surveillance data, including hospital admissions, hospital occupancy, seroprevalence data, and population-level PCR testing data using a Bayesian evidence synthesis framework, then modelled the potential trajectory of the epidemic for a range of different schedules for relaxing NPIs. We estimated the resulting number of daily infections and hospital admissions, and daily and cumulative deaths. Three scenarios spanning a range of optimistic to pessimistic vaccine effectiveness, waning natural immunity, and cross-protection from previous infections were investigated. We also considered three levels of mixing after the lifting of restrictions. Findings The roadmap policy was successful in offsetting the increased transmission resulting from lifting NPIs starting on March 8, 2021, with increasing population immunity through vaccination. However, because of the emergence of the delta variant, with an estimated transmission advantage of 76% (95% credible interval [95% CrI] 69-83) over alpha, fully lifting NPIs on June 21, 2021, as originally planned might have led to 3900 (95% CrI 1500-5700) peak daily hospital admissions under our central parameter scenario. Delaying until July 19, 2021, reduced peak hospital admissions by three fold to 1400 (95% CrI 700-1700) per day. There was substantial uncertainty in the epidemic trajectory, with particular sensitivity to the transmissibility of delta, level of mixing, and estimates of vaccine effectiveness. Interpretation Our findings show that the risk of a large wave of COVID-19 hospital admissions resulting from lifting NPIs can be substantially mitigated if the timing of NPI relaxation is carefully balanced against vaccination coverage. However, with the delta variant, it might not be possible to fully lift NPIs without a third wave of hospital admissions and deaths, even if vaccination coverage is high. Variants of concern, their transmissibility, vaccine uptake, and vaccine effectiveness must be carefully monitored as countries relax pandemic control measures.
引用
收藏
页码:1825 / 1835
页数:11
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