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Additional file 7 of Quantifying the potential value of antigen-detection rapid diagnostic tests for COVID-19: a modelling analysis

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posted on 2021-03-09, 04:39 authored by Saskia Ricks, Emily A. Kendall, David W. Dowdy, Jilian A. Sacks, Samuel G. Schumacher, Nimalan Arinaminpathy
Additional file 7: Figure S4. Sensitivity analysis to varying prevalence of COVID-19 amongst those being tested. As a focal model output, all figures show the proportion of simulations in which an Ag-RDT was favourable, with different algorithms labelled by the different line colours. Panels A and B show the impact of varying prevalence on deaths and infectious days averted, respectively, in a hospital setting. Panel C shows the impact on infectious days averted in a community setting. Similar to the analysis presented in the main text, we assumed that all individuals were isolated whilst waiting for a NAT result in the hospital setting and that no one isolated whilst awaiting a test result in the community setting. Results illustrate that the proportion favourable remained stable to these alternative assumptions for prevalence.

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Foundation for Innovative New Diagnostics Wellcome Trust UK Medical Research Council Department for International Development, UK Government

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