Modeling the population-level impact of a third dose of MMR vaccine on a mumps outbreak at the University of Iowa.
Bayesian inference
MMR3
mathematical modeling
mumps
vaccine effectiveness
Journal
Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876
Informations de publication
Date de publication:
22 Oct 2024
22 Oct 2024
Historique:
medline:
14
10
2024
pubmed:
14
10
2024
entrez:
14
10
2024
Statut:
ppublish
Résumé
Mumps outbreaks among fully vaccinated young adults have raised questions about potential waning of immunity over time and need for a third dose of the measles, mumps, rubella (MMR) vaccine. However, there are currently limited data on real-life effectiveness of the third-dose MMR vaccine in preventing mumps. Here, we used a deterministic compartmental model to infer the effectiveness of the third-dose MMR vaccine in preventing mumps cases by analyzing the mumps outbreak that occurred at the University of Iowa between August 24, 2015, and May 13, 2016. The modeling approach further allowed us to evaluate the population-level impact of vaccination by different timing in relation to the start of the outbreak and varied coverage levels, and to account for potential sources of bias in estimating vaccine effectiveness. We found large uncertainty in vaccine effectiveness estimates; however, our models showed that early introduction of a third dose of MMR vaccine during a mumps outbreak can be effective in preventing transmission. School holidays, such as the winter break, likely played important roles in preventing mumps transmission.
Identifiants
pubmed: 39401354
doi: 10.1073/pnas.2403808121
doi:
Substances chimiques
Measles-Mumps-Rubella Vaccine
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2403808121Déclaration de conflit d'intérêts
Competing interests statement:The authors declare no competing interest.