Comparative cost-effectiveness of SARS-CoV-2 testing strategies in the USA: a modelling study

被引:102
作者
Du, Zhanwei [1 ]
Pandey, Abhishek [2 ]
Bai, Yuan [3 ]
Fitzpatrick, Meagan C. [2 ,4 ]
Chinazzi, Matteo [5 ]
Pastore y Piontti, Ana [5 ]
Lachmann, Michael [6 ]
Vespignani, Alessandro [5 ]
Cowling, Benjamin J. [3 ]
Galvani, Alison P. [2 ]
Meyers, Lauren Ancel [1 ,6 ]
机构
[1] Univ Texas Austin, Austin, TX 78712 USA
[2] Yale Sch Publ Hlth, Ctr Infect Dis Modeling & Anal, New Haven, CT USA
[3] Univ Hong Kong, Sch Publ Hlth, Hong Kong, Peoples R China
[4] Univ Maryland, Sch Med, Ctr Vaccine Dev & Global Hlth, Baltimore, MD 21201 USA
[5] Northeastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
[6] Santa Fe Inst, Santa Fe, NM 87501 USA
基金
美国国家卫生研究院;
关键词
D O I
10.1016/S2468-2667(21)00002-5
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background 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. Methods 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 (Re), 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 (Re from 1.1 to 3), we estimated a threshold test price at which the status-quo strategy outperforms all testing strategies considered. Findings 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$100000 per YLL averted and a price of $5 per test, the strategy most likely to be cost-effective under a rapid transmission scenario (Re of 2.2) is weekly testing followed by a 2-week isolation period subsequent to a positive test result. Under low transmission scenarios (Re 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. Interpretation 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.Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.
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收藏
页码:E184 / E191
页数:8
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