We use an individual-level transmission and contact simulation model to explore the effectiveness and resource requirements of various test-trace-isolate (TTI) strategies for reducing the spread of SARS-CoV-2 in the UK, in the context of different scenarios with varying levels of stringency of non-pharmaceutical interventions. Based on modelling results, we show that self-isolation of symptomatic individuals and quarantine of their household contacts has a substantial impact on the number of new infections generated by each primary case. We further show that adding contact tracing of non-household contacts of confirmed cases to this broader package of interventions reduces the number of new infections otherwise generated by 5–15%. We also explore impact of key factors, such as tracing application adoption and testing delay, on overall effectiveness of TTI.

我们使用个人层面的传播和接触模拟模型来探索各种测试-追踪-隔离 (TTI) 策略的有效性和资源需求，以减少英国 SARS-CoV-2 在不同场景的背景下的传播非药物干预措施的严格程度不同。根据建模结果，我们表明有症状的个人的自我隔离及其家庭接触者的隔离对每个原发病例产生的新感染数量有重大影响。我们进一步表明，将确诊病例的非家庭接触者的接触者追踪添加到这一更广泛的干预措施中，可以将新感染的数量减少 5-15%。我们还探讨了关键因素（例如跟踪应用程序采用情况和测试延迟）对 TTI 整体有效性的影响。