On the impact of surveillance test strategies: a cost-benefit modelling analysis based upon real-world data from SARS-CoV-2

Objectives: Active regular surveillance testing of asymptomatic and symptomatic individuals can reduce infection and onward transmission rates, as demonstrated for SARS-CoV-2. Study design: Cost-benefit analysis based on real-world data. Methods: Two different surveillance-testing strategies using nucleic acid amplification tests (NAATs) performed in 14,177 hospital employees were compared for their costs and their effectiveness in preventing secondary infections. Results: Compared to not testing, NAAT-based testing twice a week accompanied by contact tracing or testing five times a week without tracing of contacts were more effective in preventing infections through early identification of infected individuals. While expansion of the test frequency from two to five times per week increased the initial costs, importantly, a 49.6 % higher inhibitory effect on infection growth with a 11.1-fold reduction of potentially averted infections and resulting workforce loss was observed, demonstrating a substantial cost-benefit of the 5-tests-per-week strategy. Conclusions: Adaptation of the test frequency of SARS-CoV-2 and possibly of other pathogens with epidemic potential according to the prevailing incidences and reproduction rates in high-prevalence situations may not only be beneficial in averting potential infections in hospital employees and, subsequently, on a population level but may also represent the most cost-effective method. (c) 2023 The Author(s). Published by Elsevier Ltd on behalf of The Royal Society for Public Health. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4. 0/).