Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Zühlke Engineering Ltd, London, UK.
Nature. 2021 Jun;594(7863):408-412. doi: 10.1038/s41586-021-03606-z. Epub 2021 May 12.
The COVID-19 pandemic has seen the emergence of digital contact tracing to help to prevent the spread of the disease. A mobile phone app records proximity events between app users, and when a user tests positive for COVID-19, their recent contacts can be notified instantly. Theoretical evidence has supported this new public health intervention, but its epidemiological impact has remained uncertain. Here we investigate the impact of the National Health Service (NHS) COVID-19 app for England and Wales, from its launch on 24 September 2020 to the end of December 2020. It was used regularly by approximately 16.5 million users (28% of the total population), and sent approximately 1.7 million exposure notifications: 4.2 per index case consenting to contact tracing. We estimated that the fraction of individuals notified by the app who subsequently showed symptoms and tested positive (the secondary attack rate (SAR)) was 6%, similar to the SAR for manually traced close contacts. We estimated the number of cases averted by the app using two complementary approaches: modelling based on the notifications and SAR gave an estimate of 284,000 (central 95% range of sensitivity analyses 108,000-450,000), and statistical comparison of matched neighbouring local authorities gave an estimate of 594,000 (95% confidence interval 317,000-914,000). Approximately one case was averted for each case consenting to notification of their contacts. We estimated that for every percentage point increase in app uptake, the number of cases could be reduced by 0.8% (using modelling) or 2.3% (using statistical analysis). These findings support the continued development and deployment of such apps in populations that are awaiting full protection from vaccines.
新冠疫情期间出现了数字接触者追踪,以帮助防止疾病传播。一款手机应用程序记录应用程序用户之间的接近事件,当用户 COVID-19 检测呈阳性时,他们最近的接触者会立即收到通知。理论证据支持这种新的公共卫生干预措施,但它的流行病学影响仍然不确定。在这里,我们研究了英格兰和威尔士国民保健服务(NHS) COVID-19 应用程序从 2020 年 9 月 24 日推出到 2020 年 12 月底的影响。它被大约 1650 万用户(总人口的 28%)定期使用,并发送了大约 170 万条暴露通知:每例同意接触追踪的索引病例通知 4.2 例。我们估计,应用程序通知的人随后出现症状并检测呈阳性的比例(继发感染率(SAR))为 6%,与手动追踪密切接触者的 SAR 相似。我们使用两种互补方法估计应用程序避免的病例数:基于通知和 SAR 的建模给出了 284000 例(敏感性分析的中心 95%范围为 108000-450000)的估计值,以及对匹配的相邻地方当局的统计比较给出了 594000 例(95%置信区间 317000-914000)的估计值。大约每例同意通知其接触者的病例就可避免一例。我们估计,应用程序使用率每增加一个百分点,病例数就可以减少 0.8%(使用建模)或 2.3%(使用统计分析)。这些发现支持在等待疫苗全面保护的人群中继续开发和部署此类应用程序。