Evidence map›Paper›PMID 41218113›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Estimated impact of 2022-2023 influenza vaccines on annual hospital burden in the United States.

Kaiming Bi, Shraddha Ramdas Bandekar, Anass Bouchnita, Annalise Cramer, Spencer J Fox, Rebecca K Borchering, Matthew Biggerstaff, Lauren Ancel Meyers

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. 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

8 authors.

Kaiming Bi *Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712.ORCID 0000-0001-6234-6232
Shraddha Ramdas Bandekar *Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712.ORCID 0000-0001-5063-2290
Anass BouchnitaDepartment of Mathematical Sciences, The University of Texas at El Paso, El Paso, TX 79968.
Annalise CramerDepartment of Epidemiology and Biostatistics, University of Georgia, Athens, GA 30602.
Spencer J FoxDepartment of Epidemiology and Biostatistics, University of Georgia, Athens, GA 30602.
Rebecca K BorcheringInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30341.ORCID 0000-0003-4309-2913
Matthew BiggerstaffInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30341.ORCID 0000-0001-5108-8311
Lauren Ancel MeyersDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX 78712.ORCID 0000-0002-5828-8874

Funding

CDC HHS NU38OT000297Centers for Disease Control and Prevention Foundation (CDCF) NU38FT000008NCIRD CDC HHS U01 IP001136
6 · The paper itself

Abstract

During the COVID-19 pandemic early years, infection prevention measures suppressed transmission of seasonal influenza and other respiratory viruses. The early onset and moderate severity of the US 2022-2023 influenza season may have resulted from reduced use of nonpharmaceutical interventions or lower population immunity after 2 y of limited influenza virus circulation. We used a mathematical model of influenza virus transmission that incorporates vaccine-derived protection against both infection and severe disease to estimate the impact of influenza vaccines on healthcare burden. Assuming reported levels of past vaccine effectiveness (VE) against infection and hospitalization, we estimate that influenza vaccines prevented 69,886 (95% CI: 51,860 to 84,575) influenza-related hospitalizations nationwide during the 2022-2023 season, with 57% attributable to reduced susceptibility and onward transmission. Despite limited data on VE against infection, our analyses suggest substantial indirect protection, particularly from young adults to other age groups. This is supported by a significant negative correlation between young adult (aged 18 to 49 y) vaccination rates and observed hospital burden across US states. Among those aged ≧65 y, nearly half of averted hospitalizations resulted from vaccinating younger age groups. These findings highlight the need for better estimates of influenza VE against infection and the potential benefits of increasing young adult influenza vaccination rates to reduce both direct and indirect disease burden.

Indexed as

COVID-19HospitalizationInfluenza, HumanInfluenza VaccinesAdolescentAdultAgedChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedModels, TheoreticalSeasonsInfluenza Vaccineshospital burdenInfluenzamathematical modelvaccines

Identifiers

PMID41218113
PMCPMC12646225

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.