Evidence map›Paper›PMID 42268610›Full record

ArticleJAMA network open2026

Influenza Vaccine and Associated Infection and Death in California, 2024 to 2025.

Sophie Zhu, Joshua Quint, Tomás M León, Monica Sun, Nancy J Li, Cynthia Yen, Brendan Flannery, Sascha Ellington, Jessie R Chung, Seema Jain and 3 more

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Sophie ZhuCalifornia Department of Public Health, Richmond.
Joshua QuintCalifornia Department of Public Health, Richmond.
Tomás M LeónCalifornia Department of Public Health, Richmond.
Monica SunCalifornia Department of Public Health, Richmond.
Nancy J LiCalifornia Department of Public Health, Richmond.
Cynthia YenCalifornia Department of Public Health, Richmond.
Brendan FlanneryNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Sascha EllingtonNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Jessie R ChungNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Seema JainCalifornia Department of Public Health, Richmond.
Robert SchechterCalifornia Department of Public Health, Richmond.
Cora HooverCalifornia Department of Public Health, Richmond.
Erin L MurrayCalifornia Department of Public Health, Richmond.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceEffectiveness of seasonal influenza vaccine must be assessed annually as influenza viruses evolve, requiring updated vaccine components. Evidence is limited for direct vaccine benefit in lowering risk of death following influenza virus infection.

objectiveTo evaluate the association between current-season influenza vaccination and laboratory-confirmed influenza virus infection and, among persons with laboratory-confirmed influenza, the association with influenza-associated death. DESIGN, SETTING, AND

participantsA case-control analysis of California residents aged 6 months or older with influenza diagnostic testing ordered between October 1, 2024, and May 31, 2025, with data on diagnostic test result and 2024 to 2025 influenza vaccination. Influenza-associated deaths within 30 days of testing among persons with laboratory-confirmed influenza were identified from vital statistics records. EXPOSURES: Influenza vaccination from October 1, 2024, to May 31, 2025. MAIN OUTCOMES AND MEASURES: Associations were evaluated between 2024 to 2025 influenza vaccination and (1) laboratory-confirmed influenza, in which case individuals tested positive and control individuals tested negative for laboratory confirmed influenza; and (2) influenza-associated death, in which deaths were compared with surviving cases among persons with laboratory-confirmed influenza. Associations were assessed with mixed-effects logistic regression.

resultsAmong 1 106 628 persons tested for laboratory-confirmed influenza (610 093 female participants [55.1%]), 234 715 were case individuals with laboratory-confirmed influenza (median [IQR] age, 28 [10-52] years) and 871 913 were control individuals (median [IQR] age, 42 [19-67] years); 45 441 influenza cases (19.4%) and 255 605 control individuals (29.3%) had received 2024 to 2025 influenza vaccination. Vaccination was significantly associated with decreased likelihood of laboratory-confirmed influenza (estimated vaccine effectiveness, 40%; 95% CI, 39%-41%). Among persons with laboratory confirmed influenza, there were 801 influenza-associated deaths. Influenza-associated death among persons aged 65 years or older was associated with lower likelihood of influenza vaccination (adjusted odds ratio, 0.71; 95% CI, 0.60-0.84) compared with persons with nonfatal infection. CONCLUSIONS AND RELEVANCE: In this case-control study of estimated vaccine effectiveness, influenza vaccination was associated with decreased likelihood of laboratory-confirmed influenza and influenza-associated deaths among those with laboratory-confirmed influenza. Electronic laboratory reporting linked to immunization registry and vital statistics provide tools to assess vaccine effectiveness and risk of death, a rare influenza-associated outcome.

Indexed as

Influenza, HumanInfluenza VaccinesVaccinationAdolescentAdultAgedCaliforniaCase-Control StudiesChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedYoung AdultInfluenza Vaccines

Identifiers

PMID42268610
PMCPMC13254740

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.