Ministry of Health, Singapore, Singapore.
Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
BMC Med. 2023 Mar 16;21(1):97. doi: 10.1186/s12916-023-02802-0.
Understanding the overall effectiveness of non-pharmaceutical interventions to control the COVID-19 pandemic and reduce the burden of disease is crucial for future pandemic planning. However, quantifying the effectiveness of specific control measures and the extent of missed infections, in the absence of early large-scale serological surveys or random community testing, has remained challenging.
Combining data on notified local COVID-19 cases with known and unknown sources of infections in Singapore with a branching process model, we reconstructed the incidence of missed infections during the early phase of the wild-type SARS-CoV-2 and Delta variant transmission. We then estimated the relative effectiveness of border control measures, case finding and contact tracing when there was no or low vaccine coverage in the population. We compared the risk of ICU admission and death between the wild-type SARS-CoV-2 and the Delta variant in notified cases and all infections.
We estimated strict border control measures were associated with 0.2 (95% credible intervals, CrI 0.04-0.8) missed imported infections per notified case between July and December 2020, a decline from around 1 missed imported infection per notified case in the early phases of the pandemic. Contact tracing was estimated to identify 78% (95% CrI 62-93%) of the secondary infections generated by notified cases before the partial lockdown in Apr 2020, but this declined to 63% (95% CrI 56-71%) during the lockdown and rebounded to 78% (95% CrI 58-94%) during reopening in Jul 2020. The contribution of contact tracing towards overall outbreak control also hinges on ability to find cases with unknown sources of infection: 42% (95% CrI 12-84%) of such cases were found prior to the lockdown; 10% (95% CrI 7-15%) during the lockdown; 47% (95% CrI 17-85%) during reopening, due to increased testing capacity and health-seeking behaviour. We estimated around 63% (95% CrI 49-78%) of the wild-type SARS-CoV-2 infections were undetected during 2020 and around 70% (95% CrI 49-91%) for the Delta variant in 2021.
Combining models with case linkage data enables evaluation of the effectiveness of different components of outbreak control measures, and provides more reliable situational awareness when some cases are missed. Using such approaches for early identification of the weakest link in containment efforts could help policy makers to better redirect limited resources to strengthen outbreak control.
了解非药物干预措施控制 COVID-19 大流行和降低疾病负担的总体效果对于未来的大流行规划至关重要。然而,在没有早期大规模血清学调查或随机社区检测的情况下,量化特定控制措施的效果和漏诊感染的程度一直具有挑战性。
我们结合新加坡本地 COVID-19 病例报告数据和已知及未知感染源数据,使用分支过程模型重建了野生型 SARS-CoV-2 和 Delta 变异株传播早期漏诊感染的发生率。然后,我们估计了在人群疫苗接种率低或无疫苗接种的情况下,边境管控措施、病例发现和接触者追踪的相对有效性。我们比较了报告病例和所有感染病例中野生型 SARS-CoV-2 和 Delta 变异株的 ICU 入院风险和死亡风险。
我们估计严格的边境管控措施与 2020 年 7 月至 12 月期间每例报告病例漏诊 0.2 例(95%可信区间,CrI 0.04-0.8)的进口感染有关,这一数字低于大流行早期每例报告病例漏诊约 1 例进口感染的水平。接触者追踪估计在 2020 年 4 月部分封锁前,可识别报告病例产生的继发性感染的 78%(95% CrI 62-93%),但在封锁期间下降至 63%(95% CrI 56-71%),在 2020 年 7 月重新开放期间反弹至 78%(95% CrI 58-94%)。接触者追踪对整体疫情控制的贡献也取决于发现无已知感染源病例的能力:在封锁前发现了 42%(95% CrI 12-84%)的此类病例;在封锁期间发现了 10%(95% CrI 7-15%);在重新开放期间发现了 47%(95% CrI 17-85%),这归因于检测能力的提高和寻求医疗服务的行为。我们估计,2020 年约有 63%(95% CrI 49-78%)的野生型 SARS-CoV-2 感染未被发现,2021 年约有 70%(95% CrI 49-91%)的 Delta 变异株感染未被发现。
将模型与病例关联数据相结合,可以评估不同疫情控制措施组成部分的有效性,并在部分病例漏诊时提供更可靠的情况感知。早期使用此类方法识别控制措施中最薄弱的环节,有助于决策者更好地重新分配有限资源,以加强疫情控制。