Abstract
Effectiveness and cost-effectiveness of four different strategies for SARS-CoV-2 surveillance in the general population (CoV-Surv Study): a structured summary of a study protocol for a cluster-randomised, two-factorial controlled trial
Highlights
Andreas Deckert1*, Simon Anders2, Manuela de Allegri3, Hoa Thi Nguyen4, Aurélia Souares3, Shannon McMahon3, Kathleen Boerner5, Matthias Meurer2, Konrad Herbst2, Matthias Sand6, Lisa Koeppel7, Tobias Siems8, Lucia Brugnara9, Stephan Brenner3, Robin Burk2, Dan Lou2, Daniel Kirrmaier2, Yuanqiang Duan2, Svetlana Ovchinnikova2, Michael Marx10, Hans Georg Kräusslich11, Michael Knop2, Till Bärnighausen3 and Claudia Denkinger7. In this cluster-randomised controlled study (CoV-Surv Study), four different “active” SARS-CoV-2 testing strategies for general population surveillance are evaluated for their effectiveness in determining and predicting the prevalence of SARS-CoV-2 infections in a given population
The costs and cost-effectiveness of the four surveillance strategies will be assessed. This trial is supplemented by a qualitative component to determine the acceptability of each strategy
Once received by the laboratory, the sample is tested for SARS-CoV-2 using Reverse Transcription Loop-mediated Isothermal Amplification (RT-LAMP)
Summary
Effectiveness and cost-effectiveness of four different strategies for SARS-CoV-2 surveillance in the general population (CoV-Surv Study): a structured summary of a study protocol for a cluster-randomised, two-factorial controlled trial In Germany, and in many other countries, COVID-19 surveillance has so far largely relied on passive surveillance strategies that identify individuals with clinical symptoms, monitor those cases who tested positive for the (Continued on page)
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