Influenza Activity and Estimated Vaccine Effectiveness During the 2025-2026 Influenza Season - Summary - MDSpire
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Assessment of Influenza Trends and Projected Vaccine Efficacy for the 2025-2026 Season

  • By

  • Eduardo Azziz-Baumgartner

  • Alicia Budd

  • Justin S. Lee

  • A. Danielle Iuliano

  • Sascha R. Ellington

  • Min Z. Levine

  • Xiao-yu Zheng

  • Larisa Gubareva

  • Katherine Adams

  • Jennifer DeCuir

  • Catherine H. Bozio

  • Carrie Reed

  • Marie K. Kirby

  • Benjamin Rambo-Martin

  • Jefferson M. Jones

  • Matthew Biggerstaff

  • Shikha Garg

  • Charles Todd Davis

  • Tom T. Shimabukuro

  • Erin Burns

  • Rebecca Kondor

  • Sonja J. Olsen

  • Vivien G. Dugan

  • VISION Coauthors

  • Stephanie A. Irving

  • Allison L. Naleway

  • Kristin Dascomb

  • Tamara Sheffield

  • Malini B. DeSilva

  • Sara Y. Tartof

  • Lina S. Sy

  • Nicola P. Klein

  • Ousseny Zerbo

  • Shaun J. Grannis

  • Brian E. Dixon

  • Melissa S. Stockwell

  • Ashley B. Stephens

  • Toan C. Ong

  • Michelle A. Barron

  • Sarah W. Ball

  • Zachary A. Weber

  • Emily L. Reeves

  • Caitlin S. Ray

  • June 17, 2026

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Objective:

To provide US virologic, immunologic, and epidemiologic findings regarding influenza A(H3N2) viruses and vaccine effectiveness during the 2025-2026 season.

Approach:
  • Surveillance Activities: Systematic surveillance by the CDC identified mutations in the HA protein of influenza A(H3N2) viruses, raising concerns about vaccine-induced antibody evasion.
  • Data Collection: Data were collected from clinical and public health laboratories across the US, focusing on influenza virus types, subtypes, and clades.
  • Antigenic Characterization: Selected viruses underwent antigenic characterization using hemagglutination inhibition (HI) assays to assess similarity to vaccine reference viruses.
  • Vaccine Response Assessment: Sera samples from vaccinated individuals were analyzed for neutralizing antibody responses against circulating A(H3N2) viruses.
  • Hospitalization Surveillance: FluSurv-NET conducted population-based surveillance of laboratory-confirmed influenza hospitalizations, collecting detailed clinical data.
  • Genomic Sequencing: Whole-genome sequencing was performed on selected A(H3N2) isolates to identify genetic changes associated with antigenic drift.
  • Epidemiological Modeling: Models were developed to predict the impact of circulating strains on vaccine effectiveness and potential public health outcomes.
Key Findings:
  • Ten mutations in the HA protein of influenza A(H3N2) viruses were identified, indicating potential vaccine escape.
  • The emergence of subclade K viruses led to a protracted epidemic in Australia and an early severe season in Japan.
  • Antigenic drift was observed in circulating A(H3N2) viruses compared to the vaccine reference virus.
Interpretation:

The findings indicate significant changes in circulating influenza A(H3N2) viruses that may affect vaccine efficacy.

Limitations:
  • The study is based on data collected from specific regions and may not represent the entire US population.
  • Ethical considerations limited the scope of certain data collection methods.
Conclusion:

The study highlights the need for ongoing surveillance and assessment of influenza virus changes to inform vaccine development. ---

Sources:

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