ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is frequently diagnosed through detection of viral RNA using nucleic acid amplification testing (NAAT) assays that are usually used in centralized settings. Following the publication of the SARS-CoV-2 genetic sequence, multiple diagnostic assays were launched in 2020. These assays require evaluation beyond manufacturer self-reported performance to determine whether they are suitable for use, meet country acceptance criteria, and are compatible with existing in-country platforms. In order to meet the demand for testing services, rapid yet robust assay performance evaluations are required. In our setting, these evaluation protocols required the use of residual patient specimens and reference materials, as typical clinical trials are time-consuming and limited by cost and the cyclical nature of SARS-CoV-2 infection. This protocol is designed to assist in the rapid and robust evaluation of nucleic acid-based assays for the detection of SARS-CoV-2 using limited specimens, reference materials, and test kits. While it is specific for RNA-based assays, it can be adapted for fully automated analyses. The preparation and processing of evaluation panels is described, followed by methods for analytical precision analysis and data visualization. Assay robustness and scalability are briefly discussed as these can be critical for implementation. This protocol is designed to be flexible and alternative options are provided throughout the text where possible.