Evidence map›Paper›PMID 42812531›Full record

ArticleFrontiers in public health2026

Temporal changes in auditory adverse event reporting in the U.S. vaccine adverse event reporting system associated with the COVID-19 vaccine rollout: an interrupted time series analysis with negative control evaluation.

Jingyi Wu, Junfeng Huo, Xindan Wang, Juan Wei, Gaiyan Du

Abstract read
In one paragraph

Article in Frontiers in public health, 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

5 authors.

Jingyi Wu *Public Health Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.
Junfeng Huo *General Office, Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China.
Xindan WangImmunization Program Department, Taiyuan Center for Disease Control and Prevention, Taiyuan, China.
Juan WeiPublic Health Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.
Gaiyan DuPublic Health Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess whether auditory adverse event (AE) reporting changed after the COVID-19 vaccine rollout, and whether any change reflected a true safety signal or a shift in reporting behavior. Methods: We analyzed U.S. Vaccine Adverse Event Reporting System (VAERS) data from 2018 through 2025 using interrupted time series (ITS) analysis. The COVID-19 vaccine Emergency Use Authorization (EUA), granted in the fourth quarter of 2020, was treated as a time-level ecological intervention. Because VAERS receives reports for all vaccines, we included every report regardless of vaccine type. We then modeled quarterly auditory AE reporting rates before and after the EUA. Sensitivity analyses stratified results by age, fit quasi-Poisson regression models, used dermatologic events as a reporting-propensity sentinel serving much like a negative control, and compared auditory AE proportions across vaccine types after the EUA (COVID-19 versus influenza versus other). Results: Of 1,347,820 reports, 27,750 involved auditory AEs. Reporting rates rose immediately after the EUA ( Conclusion: Auditory AE reporting increased after the COVID-19 vaccine EUA. The increase was concentrated in adults and showed up across both rate-based and count-based models, although its magnitude remained imprecisely estimated. It was also specific to COVID-19 vaccine reports. Given the inherent limits of passive surveillance and the non-classical nature of the dermatologic reporting-propensity sentinel, these findings argue for targeted investigation in studies with individual-level data, rather than being read as definitive evidence against reporting bias.

Indexed as

Adverse Drug Reaction Reporting SystemsCOVID-19 VaccinesAdultAgedCOVID-19Emergency Use AuthorizationFemaleHumansInterrupted Time Series AnalysisMaleMiddle AgedUnited StatesCOVID-19 Vaccinesage stratificationauditory adverse eventsCOVID-19 vaccineinterrupted time seriesreporting propensityVAERS

Identifiers

PMID42812531
PMCPMC13619909

What Socratic 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 Socratic graph.