Assessing the effectiveness of test-trace-isolate interventions using a multi-layered temporal network
Yunyi Cai, Weiyi Wang, Lanlan Yu, Ruixiang Wang, Gui-Quan Sun,, Allisandra G. Kummer, Paulo C. Ventura, Jiancheng Lv, Marco Ajelli, Quan-Hui, Liu

TL;DR
This study models the effectiveness of test-trace-isolate strategies for infectious disease control using a multi-layered temporal network, highlighting their limitations and benefits depending on the reproduction number.
Contribution
It introduces a novel multi-layer temporal contact network model to evaluate TTI strategies' impact on outbreak containment and mitigation, specifically for SARS-CoV-2.
Findings
TTI can contain outbreaks up to R0 of 1.3 with 88.2% prevention potential.
Higher R0 values reduce TTI effectiveness, requiring longer quarantines.
Combining TTI with social distancing improves containment chances but remains limited at high R0.
Abstract
In the early stage of an infectious disease outbreak, public health strategies tend to gravitate towards non-pharmaceutical interventions (NPIs) given the time required to develop targeted treatments and vaccines. One of the most common NPIs is Test-Trace-Isolate (TTI). One of the factors determining the effectiveness of TTI is the ability to identify contacts of infected individuals. In this study, we propose a multi-layer temporal contact network to model transmission dynamics and assess the impact of different TTI implementations, using SARS-CoV-2 as a case study. The model was used to evaluate TTI effectiveness both in containing an outbreak and mitigating the impact of an epidemic. We estimated that a TTI strategy based on home isolation and testing of both primary and secondary contacts can contain outbreaks only when the reproduction number is up to 1.3, at which the epidemic…
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Taxonomy
TopicsHealth, Environment, Cognitive Aging
