posted on 2021-03-09, 04:39authored bySaskia 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.
Funding
Foundation for Innovative New Diagnostics Wellcome Trust UK Medical Research Council Department for International Development, UK Government