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Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UK.
He, Bobby; Zaidi, Sheheryar; Elesedy, Bryn; Hutchinson, Michael; Paleyes, Andrei; Harling, Guy; Johnson, Anne M; Whye Teh, Yee.
  • He B; Department of Statistics, University of Oxford, Oxford, UK.
  • Zaidi S; Department of Statistics, University of Oxford, Oxford, UK.
  • Elesedy B; Department of Computer Science, University of Oxford, Oxford, UK.
  • Hutchinson M; Department of Statistics, University of Oxford, Oxford, UK.
  • Paleyes A; Department of Computer Science and Technology, University of Cambridge, Cambridge, UK.
  • Harling G; Institute for Global Health, UCL, London, UK.
  • Johnson AM; Institute for Global Health, UCL, London, UK.
  • Whye Teh Y; Department of Statistics, University of Oxford, Oxford, UK.
R Soc Open Sci ; 8(3): 201491, 2021 Mar 24.
Article in English | MEDLINE | ID: covidwho-1177360
ABSTRACT
We use an individual-level transmission and contact simulation model to explore the effectiveness and resource requirements of various test-trace-isolate (TTI) strategies for reducing the spread of SARS-CoV-2 in the UK, in the context of different scenarios with varying levels of stringency of non-pharmaceutical interventions. Based on modelling results, we show that self-isolation of symptomatic individuals and quarantine of their household contacts has a substantial impact on the number of new infections generated by each primary case. We further show that adding contact tracing of non-household contacts of confirmed cases to this broader package of interventions reduces the number of new infections otherwise generated by 5-15%. We also explore impact of key factors, such as tracing application adoption and testing delay, on overall effectiveness of TTI.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: R Soc Open Sci Year: 2021 Document Type: Article Affiliation country: Rsos.201491

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: R Soc Open Sci Year: 2021 Document Type: Article Affiliation country: Rsos.201491