Evidence map›Paper›PMID 41180008›Full record

ArticleOpen forum infectious diseases2025

Low Uptake and Disparities in Respiratory Syncytial Virus Vaccination Among US Veterans.

Hye Sun Kim, Nathan C Lo, W John Boscardin, Elan L Guterman, Kristina Bajema, Sheri D Weiser, Peter C Austin, Salomeh Keyhani, J Daniel Kelly

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Hye Sun KimCenter for Data to Discovery and Delivery Innovation (3DI), San Francisco Veterans Affairs Health Care System, San Francisco, California, USA.ORCID https://orcid.org/0009-0002-2574-0358
Nathan C LoDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
W John BoscardinDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.
Elan L GutermanDepartment of Neurology, University of California, San Francisco, San Francisco, California, USA.
Kristina BajemaVeterans Affairs Portland Health Care System, Portland, OR, USA.
Sheri D WeiserDepartment of Medicine, University of California, San Francisco, San Francisco, California, USA.
Peter C AustinInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Salomeh KeyhaniCenter for Data to Discovery and Delivery Innovation (3DI), San Francisco Veterans Affairs Health Care System, San Francisco, California, USA.
J Daniel KellyCenter for Data to Discovery and Delivery Innovation (3DI), San Francisco Veterans Affairs Health Care System, San Francisco, California, USA.ORCID https://orcid.org/0000-0002-7616-0321

Funding

Real-time predictive modeling for public health departments to control infectious diseasesDP2AI170485 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nathan Lo · 2022 to 2026
$2.3M
NIAID NIH HHS DP2 AI170485NIAID NIH HHS L30 AI171975
6 · The paper itself

Abstract

This cohort study of US Veterans identifies low respiratory syncytial virus vaccine uptake among eligible persons (9.8% in the 2023-2024 season, 3.0% after 5 months of the 2024-2025 season). We identified key disparities across demographic and social risk groups (age, rural residence, current smoker, housing insecurities), suggesting need for targeted interventions for vaccine uptake.

Indexed as

health disparitiesRSVRSV vaccinevaccine uptakeVeterans

Identifiers

PMID41180008
PMCPMC12578297

What OpenQuestion holds

Textmetadata
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.