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Fig. 3 | BMC Public Health

Fig. 3

From: Quantitative comparison of SARS-CoV-2 nucleic acid amplification test and antigen testing algorithms: a decision analysis simulation model

Fig. 3

Trade-offs in algorithms for SARS-CoV-2 NAAT and antigen testing. Panel A depicts two primary outcomes (missed cases and NAAT volume) of 50,000 simulations for each of five algorithms compared to simulations of the (A) NAAT Only algorithm run under the same conditions at 10% prevalence in a population of 100,000 seeking testing. Panel B represents these results as a ratio of NAATs saved per missed case compared to the NAAT Only algorithm. The (D) NAAT Confirmation for Ag-neg algorithm results in zero missed cases, therefore this ratio equals positive infinity for all simulations and is not displayed. Panel C depicts missed cases and NAAT volume of 50,000 simulations compared to simulations of the (B) Ag Only algorithm run under the same conditions at 10% prevalence in a population of 100,000 seeking testing. Panel D represents these results as a ratio of NAATs needed per additional case detected compared to the Ag Only algorithm. In Panels A and C, each point represents the results of one simulation. In Panels B and D, points represent median values and error bars represent 95% Uncertainty Ranges. Algorithm (E) Repeat Ag Confirmation of Ag-neg, which utilizes no NAATs, is not displayed in Panels C-D

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