Back

mRNA and Protein Subunit COVID-19 Vaccine Reactogenicity and the Relationship to Productivity for Healthcare Workers and First Responders

Yoon, S. K.; Phillips, A. L.; Calhoun, S.; Odom, D.; Ziemiecki, R.; Jackson, L.; Mckell, J.; Griffin, J.; Choi, J. M.; Prillaman, B. A.; Campbell, R.; Hahn, B.; Warren, B.; Fix, J.; Rousculp, M. D.; Ellsworth, G. L.

2025-08-28 infectious diseases
10.1101/2025.08.25.25334392 medRxiv
Show abstract

ObjectivesTo compare the percentage of participants that experienced any solicited systemic reactogenicity symptom after one dose of the updated 2024-2025 adjuvanted protein-based Novavax (NVX; JN.1) or Pfizer-BioNTech mRNA (PFZ; KP.2) COVID-19 vaccine within 2- and 7-days post-vaccination and examine its disrupting impact on daily life. MethodsIn this prospective, interventional, real-world study (SHIELD/NCT06633835), previously vaccinated healthcare workers (HCWs) and first responders (FRs) from Salt Lake City, Utah, USA, and surrounding areas self-selected to receive NVX or PFZ. At 2- and 7-days post-vaccination, participants self-reported on 11 vaccine-related reactogenicity symptoms and functional impairment using a 5-item modified Sheehan Disability Scale. Results588 participants completed the Day 2 questionnaire (NVX, n=219; PFZ, n=369); 583 completed the Day 7 questionnaire (NVX, n=217; PFZ, n=366). Two-days post-vaccination, NVX recipients were less likely to report a systemic (OR=0.40; 95% CI, 0.21-0.75) or local (OR=0.10; 95% CI, 0.30-0.33) reactogenicity symptom and lost 50% fewer work hours (0.7 vs 1.4 h) and 66% fewer productive hours (0.8 vs 2.4 h) than PFZ recipients. There was little to no difference between vaccines at 7-days post-vaccination. ConclusionFewer reactogenicity symptoms following COVID-19 vaccination suggest use of the NVX vaccine as an immunization option with a lower disruption to daily life.

Published in Open Forum Infectious Diseases (predicted rank #5) · training set

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.