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Peer reviewedOpen accessInfluenza

Influenza Vaccine Effectiveness Against Outpatient Acute Respiratory Illness With Laboratory-confirmed Influenza, United States, 2024–2025 Season

Clinical Infectious Diseases·

Jessie R Chung, Ashley M Price, Stacey L House, Jamie Mills, Karen J Wernli, Magali Sanchez, Emily T Martin, Ivana A Vaughn, Vel Murugan, Joanna Kramer, Elie A Saade, Kiran Faryar, Manjusha Gaglani, Chandni Raiyani, Richard K Zimmerman, Louise H Taylor, Olivia L Williams, Emmanuel B Walter, Juliana DaSilva, Marie K Kirby, Min Z Levine, Rebecca Kondor, Emma K Noble, Kelsey M Sumner, Sascha R Ellington, Brendan Flannery, Tamair Curley, Jeremy Russell, Ben Rapp, Joshua Jackson, Erika Kiniry, Brianna Wickersham, Rachael Doud, Matthew Nguyen, Arnold S Monto, Donny Hearn, Caroline K Cheng, Maria Santana-Garces, Muniza Hossain, Shane Bole, Mehal Patel, Lora Nordstrom, Matthew Scotch, Bradley Bobbett, Alexia El Khoury, Joy Abou Farah, Tracy Lemonovich, Curtis Donskey, Spencer Rose, Michael Smith, Leah Odame-Bamfo, Kempapura Murthy, Mufaddal Mamawala, Amanda McKillop, Nicole Calhoun, Britan Fairall, Mary Patricia Nowalk, G K Balasubramani, Tracey Conti, David A Figucia, Alexandra Weissman, Natalie A B Bontrager, Darren J Morrow, Wes Rountree, Christopher A Todd, Cameron R Wolfe, Lisa Keong, Sydney R Sheffield, Julia C Frederick, Malania M Wilson, Ewelina Lyszkowicz, Yujin Jung, Crystal Holiday, Stacie Jefferson, Philip Shirk

DOI
10.1093/cid/ciag437
PMID
42442752
PMCID
OpenAlex
W7168281405
Study type
Journal article
Publisher
Oxford University Press (OUP)
Article type
journal-article
Integrity
current

Why this research matters now

The study provides a U.S. outpatient VE estimate for the 2024–2025 season, indicating vaccination reduced the risk of outpatient medically attended influenza by roughly one-third despite the predominance of A(H1N1)pdm09 and A(H3N2) viruses.

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Structured evidence summary

Research question

The study evaluated how well seasonal influenza vaccination reduced the risk of outpatient medically attended influenza during the 2024–2025 U.S. season, overall and by virus type and subtype.

Study design

A multicentre, test-negative vaccine effectiveness (VE) study enrolled outpatients aged ≥8 months with acute respiratory illness including cough; specimens underwent RT-PCR testing and VE was estimated using a test-negative design adjusting for age, site, underlying health status, and month of illness onset.

Population and setting

Outpatients aged ≥8 months presenting with acute respiratory illness including cough at outpatient clinics, urgent care clinics, and emergency departments across 7 U.S. states during the 2024–2025 season.

Main findings

Among 6,793 enrolled patients, 2,016 (30%) tested influenza-positive, predominantly A(H3N2) and A(H1N1)pdm09. Overall VE against any influenza was 33% (95% CI 24–41); 27% (95% CI 14–39) against A(H3N2), 37% (95% CI 24–48) against A(H1N1)pdm09, and 40% (95% CI 12–59) against B/Victoria. No statistically significant interaction was detected between current and prior season vaccination.

Public-health relevance

The study provides a U.S. outpatient VE estimate for the 2024–2025 season, indicating vaccination reduced the risk of outpatient medically attended influenza by roughly one-third despite the predominance of A(H1N1)pdm09 and A(H3N2) viruses.

Important limitations

The summary is limited to the supplied single-article abstract/metadata and requires the original paper for decision-grade interpretation; limitations not explicitly stated in the abstract cannot be reported here.

GIDS interpretation

This single peer-reviewed article, indexed under influenza, vaccination, and vaccine effectiveness for the United States, is discoverable as contextual evidence for 2024–2025 season VE; it is not linked here to any live surveillance signal.

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Related GIDS surveillance

Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.

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Evidence relationships

This article has 8 auditable classifier relationships to diseases, places, topics, and study design.

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