Real-World Effectiveness and Noninferiority Evaluation and Comparison of Messenger RNA–Based and Protein-Based COVID-19 Vaccines: Protocol for the BEEHIVE Randomized Study With a Hybrid Effectiveness Design
Sarang K Yoon, German L Ellsworth, Steph Battan-Wraith, Andrew L Phillips, Rebecca V Fink, Joshua Griffin, Elizabeth A K Rowley, Jacob McKell, Ashley S Smith, Riley Campbell, Jesse Williams, Sarah W Ball, Hongwei Zhao, Brandy Warren, Matthew D Rousculp, Matthew S Thiese

TL;DR
This study aims to compare the real-world effectiveness of two updated COVID-19 vaccines in preventing symptomatic infections.
Contribution
The study introduces a hybrid design to evaluate and compare the effectiveness of mRNA and protein-based vaccines in a real-world setting.
Findings
The study will assess the effectiveness of the 2023-2024 formulations of Pfizer–BioNTech and Novavax vaccines.
It will examine how prior vaccination history affects the effectiveness of updated vaccines.
The study will identify factors influencing asymptomatic infection and post-COVID conditions.
Abstract
Surveillance of COVID-19 vaccine effectiveness (VE) was extensive upon vaccine introduction; however, it declined after the withdrawal of pandemic status in May 2023. Continued monitoring of updated vaccine formulations is needed to ensure the maintenance of VE in the face of evolving viral strains. The Booster Epidemiological Evaluation of Health, Illness and Vaccine Efficacy (BEEHIVE) study (NCT06065176), a randomized trial with a hybrid design, was developed to assess the real-world VE of the 2023-2024 Pfizer–BioNTech and Novavax COVID-19 vaccine formulations targeting the XBB.1.5 SARS-CoV-2 variant. This study was designed to enroll approximately 1500 participants aged ≥18 years from the Salt Lake City, Utah, area who had previously received ≥2 doses of an authorized messenger RNA (mRNA)–based COVID-19 vaccine but had not received a dose of the 2023-2024 formulation. The study…
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Taxonomy
TopicsSARS-CoV-2 and COVID-19 Research · vaccines and immunoinformatics approaches · Vaccine Coverage and Hesitancy
