Evidence map›Paper›PMID 33097935›Full record

Observational studyThe Journal of infectious diseases2021

Hepatitis A Person-to-Person Outbreaks: Epidemiology, Morbidity Burden, and Factors Associated With Hospitalization-Multiple States, 2016-2019.

Megan G Hofmeister, Jian Xing, Monique A Foster, Ryan J Augustine, Cole Burkholder, Jim Collins, Shannon McBee, Erica D Thomasson, Douglas Thoroughman, Mark K Weng and 1 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in The Journal of infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 6% of its field
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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Determining Herd Immunity Thresholds for Hepatitis A Virus Transmission to Inform Vaccination Strategies Among People Who Inject Drugs in 16 US States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Pooled it
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  10. Liver diseases: epidemiology, causes, trends and predictions.Signal transduction and targeted therapy · 2025
    Review
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  13. Detection ofmSphere · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Megan G HofmeisterDivision of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Jian XingDivision of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Monique A FosterDivision of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Ryan J AugustineDivision of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Cole BurkholderDivision of Communicable Diseases, Michigan Department of Health and Human Services, Lansing, Michigan, USA.
Jim CollinsDivision of Communicable Diseases, Michigan Department of Health and Human Services, Lansing, Michigan, USA.
Shannon McBeeBureau for Public Health, West Virginia Department of Health and Human Resources, Charleston, West Virginia, USA.
Erica D ThomassonBureau for Public Health, West Virginia Department of Health and Human Resources, Charleston, West Virginia, USA.
Douglas ThoroughmanCareer Epidemiology Field Officer Program, Division of State and Local Readiness, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Mark K WengDivision of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Philip R SpradlingDivision of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Centers for Disease Control and Prevention · USMichigan Department of Health and Human Services · USVirginia Department of Health · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundSince 2016, the United States has experienced person-to-person hepatitis A outbreaks unprecedented in the vaccine era. The proportion of cases hospitalized in these outbreaks exceeds historical national surveillance data.

methodsWe described the epidemiology, characterized the reported increased morbidity, and identified factors associated with hospitalization during the outbreaks by reviewing a 10% random sample of outbreak-associated hepatitis A cases in Kentucky, Michigan, and West Virginia-3 heavily affected states. We calculated descriptive statistics and conducted age-adjusted log-binomial regression analyses to identify factors associated with hospitalization.

resultsParticipants in the random sample (n = 817) were primarily male (62.5%) with mean age of 39.0 years; 51.8% were hospitalized. Among those with available information, 73.2% reported drug use, 14.0% were experiencing homelessness, 29.7% were currently or recently incarcerated, and 61.6% were epidemiologically linked to a known outbreak-associated case. Residence in Michigan (adjusted risk ratio [aRR] = 1.8), being a man who has sex with men (aRR = 1.5), noninjection drug use (aRR = 1.3), and homelessness (aRR = 1.3) were significantly (P < .05) associated with hepatitis A-related hospitalization.

conclusionsOur findings support current Advisory Committee on Immunization Practices recommendations to vaccinate all persons who use drugs, men who have sex with men, and persons experiencing homelessness against hepatitis A.

Indexed as

Disease OutbreaksMorbidityAdultAgedCross-Sectional StudiesFemaleHepatitis AHomosexuality, MaleHospitalizationHumansImmunizationMaleMiddle AgedOdds RatioSexual and Gender MinoritiesUnited StatesVaccinesdisease outbreakshepatitis AhospitalizationUnited Statesvaccine-preventable diseases

Identifiers

PMID33097935
PMCPMC10993993
OpenAlexW3094212177

What OpenQuestion holds

Textmetadata
LicenceTDM
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.