The University of Texas at Austin, Austin, TX, USA; School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA.
Lancet Public Health. 2021 Mar;6(3):e184-e191. doi: 10.1016/S2468-2667(21)00002-5. Epub 2021 Feb 5.
To mitigate the COVID-19 pandemic, countries worldwide have enacted unprecedented movement restrictions, physical distancing measures, and face mask requirements. Until safe and efficacious vaccines or antiviral drugs become widely available, viral testing remains the primary mitigation measure for rapid identification and isolation of infected individuals. We aimed to assess the economic trade-offs of expanding and accelerating testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) across the USA in different transmission scenarios.
We used a multiscale model that incorporates SARS-CoV-2 transmission at the population level and daily viral load dynamics at the individual level to assess eight surveillance testing strategies that varied by testing frequency (from daily to monthly testing) and isolation period (1 or 2 weeks), compared with the status-quo strategy of symptom-based testing and isolation. For each testing strategy, we first estimated the costs (incorporating costs of diagnostic testing and admissions to hospital, and salary lost while in isolation) and years of life lost (YLLs) prevented under rapid and low transmission scenarios. We then assessed the testing strategies across a range of scenarios, each defined by effective reproduction number (R), willingness to pay per YLL averted, and cost of a test, to estimate the probability that a particular strategy had the greatest net benefit. Additionally, for a range of transmission scenarios (R from 1·1 to 3), we estimated a threshold test price at which the status-quo strategy outperforms all testing strategies considered.
Our modelling showed that daily testing combined with a 2-week isolation period was the most costly strategy considered, reflecting increased costs with greater test frequency and length of isolation period. Assuming a societal willingness to pay of US$100 000 per YLL averted and a price of $5 per test, the strategy most likely to be cost-effective under a rapid transmission scenario (R of 2·2) is weekly testing followed by a 2-week isolation period subsequent to a positive test result. Under low transmission scenarios (R of 1·2), monthly testing of the population followed by 1-week isolation rather than 2-week isolation is likely to be most cost-effective. Expanded surveillance testing is more likely to be cost-effective than the status-quo testing strategy if the price per test is less than $75 across all transmission rates considered.
Extensive expansion of SARS-CoV-2 testing programmes with more frequent and rapid tests across communities coupled with isolation of individuals with confirmed infection is essential for mitigating the COVID-19 pandemic. Furthermore, resources recouped from shortened isolation duration could be cost-effectively allocated to more frequent testing.
US National Institutes of Health, US Centers for Disease Control and Prevention, and Love, Tito's.
为缓解 COVID-19 大流行,全球各国均采取了前所未有的人员流动限制、社交疏离措施和佩戴口罩的要求。在安全且有效的疫苗或抗病毒药物广泛应用之前,病毒检测仍然是快速识别和隔离感染者的主要缓解措施。我们旨在评估美国在不同传播情景下扩大和加速检测严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 的经济权衡。
我们使用了一个多尺度模型,该模型将 SARS-CoV-2 在人群中的传播与个体每日病毒载量动态相结合,以评估八种监测检测策略,这些策略在检测频率(从每日到每月检测)和隔离期(1 或 2 周)方面有所不同,与基于症状的检测和隔离的现状策略相比。对于每种检测策略,我们首先根据快速和低传播情景下的检测和住院费用、隔离期间的工资损失以及避免的年生命损失 (YLL) 来估计成本。然后,我们在一系列情景下评估了检测策略,每个情景均由有效繁殖数 (R)、每避免一个 YLL 的意愿支付金额以及检测成本定义,以估计特定策略具有最大净收益的概率。此外,对于一系列传播情景(R 从 1.1 到 3),我们估计了一个检测价格阈值,在此阈值下,现状策略优于所有考虑的检测策略。
我们的模型表明,每日检测结合两周隔离期是最昂贵的策略,这反映了检测频率和隔离期的增加导致成本增加。假设社会愿意为避免每 YLL 支付 100000 美元,并假设检测价格为 5 美元,在快速传播情景(R 为 2.2)下,最有可能具有成本效益的策略是每周检测,然后在阳性检测结果后进行两周的隔离。在低传播情景(R 为 1.2)下,对人群进行每月检测,随后进行为期 1 周的隔离而不是 2 周的隔离,可能是最具成本效益的。如果在考虑的所有传播率下,检测价格均低于 75 美元,则广泛扩大 SARS-CoV-2 检测计划,增加检测频率和速度,并结合对确诊感染个体的隔离,更有可能具有成本效益。
在整个社区中扩大 SARS-CoV-2 检测计划,增加检测频率和速度,并对确诊感染个体进行隔离,是缓解 COVID-19 大流行的必要措施。此外,从缩短隔离期回收的资源可以更有效地分配给更频繁的检测。
美国国立卫生研究院、美国疾病控制与预防中心和 Love、Tito's。