Estimating the impact of test–trace–isolate–quarantine systems on SARS-CoV-2 transmission in Australia

IF 3 3区 医学 Q2 INFECTIOUS DISEASES Epidemics Pub Date : 2024-03-22 DOI:10.1016/j.epidem.2024.100764
Freya M. Shearer , James M. McCaw , Gerard E. Ryan , Tianxiao Hao , Nicholas J. Tierney , Michael J. Lydeamore , Logan Wu , Kate Ward , Sally Ellis , James Wood , Jodie McVernon , Nick Golding
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Abstract

Background:

Australian states and territories used test–trace–isolate–quarantine (TTIQ) systems extensively in their response to the COVID-19 pandemic in 2020-2021. We report on an analysis of Australian case data to estimate the impact of test–trace–isolate–quarantine systems on SARS-CoV-2 transmission.

Methods:

Our analysis uses a novel mathematical modelling framework and detailed surveillance data on COVID-19 cases including dates of infection and dates of isolation. First, we directly translate an empirical distribution of times from infection to isolation into reductions in potential for onward transmission during periods of relatively low caseloads (tens to hundreds of reported cases per day). We then apply a simulation approach, validated against case data, to assess the impact of case-initiated contact tracing on transmission during a period of relatively higher caseloads and system stress (up to thousands of cases per day).

Results:

We estimate that under relatively low caseloads in the state of New South Wales (tens of cases per day), TTIQ contributed to a 54% reduction in transmission. Under higher caseloads in the state of Victoria (hundreds of cases per day), TTIQ contributed to a 42% reduction in transmission. Our results also suggest that case-initiated contact tracing can support timely quarantine in times of system stress (thousands of cases per day).

Conclusion:

Contact tracing systems for COVID-19 in Australia were highly effective and adaptable in supporting the national suppression strategy from 2020–21, prior to the emergence of the Omicron variant in November 2021. TTIQ systems were critical to the maintenance of the strong suppression strategy and were more effective when caseloads were (relatively) low.

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估计检测-跟踪-隔离-检疫系统对澳大利亚 SARS-CoV-2 传播的影响
背景:澳大利亚各州和地区在应对2020-2021年COVID-19大流行时广泛使用了检测-追踪-隔离(TTIQ)系统。方法:我们的分析采用了新颖的数学建模框架和 COVID-19 病例的详细监测数据,包括感染日期和隔离日期。首先,我们将从感染到隔离的时间经验分布直接转化为在病例数相对较少的时期(每天报告的病例数从几十个到几百个不等)继续传播的可能性的减少。结果:我们估计,在新南威尔士州病例数相对较少的情况下(每天数十个病例),TTIQ 有助于将传播率降低 54%。在维多利亚州,在病例量较高(每天数百例)的情况下,TTIQ 有助于将传播率降低 42%。结论:在 2021 年 11 月出现 Omicron 变种之前,澳大利亚 COVID-19 接触者追踪系统在支持 2020-21 年国家抑制战略方面非常有效且适应性强。TTIQ系统对维持强有力的遏制战略至关重要,在病例数(相对)较低时更为有效。
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来源期刊
Epidemics
Epidemics INFECTIOUS DISEASES-
CiteScore
6.00
自引率
7.90%
发文量
92
审稿时长
140 days
期刊介绍: Epidemics publishes papers on infectious disease dynamics in the broadest sense. Its scope covers both within-host dynamics of infectious agents and dynamics at the population level, particularly the interaction between the two. Areas of emphasis include: spread, transmission, persistence, implications and population dynamics of infectious diseases; population and public health as well as policy aspects of control and prevention; dynamics at the individual level; interaction with the environment, ecology and evolution of infectious diseases, as well as population genetics of infectious agents.
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