Evidence map›Paper›PMID 33729050›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Tuberculosis Outbreak Associated With Delayed Diagnosis and Long Infectious Periods in Rural Arkansas, 2010-2018.

Sarah M Labuda, Clinton J McDaniel, Amish Talwar, Anthwan Braumuller, Sarah Parker, Stephanie McGaha, Carolynne Blissett, Jonathan M Wortham, Leonard Mukasa, Rebekah J Stewart

Open access · bronzeAbstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Bayesian phylodynamic inference of population dynamics with dormancy.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Advanced pulmonary tuberculosis in Alameda County: Ten-year incidence and risk factors.Journal of clinical tuberculosis and other mycobacterial diseases · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Tuberculosis Outbreak in a State Prison System - Washington, 2021-2022.MMWR. Morbidity and mortality weekly report · 2023
    Article
  11. Article
  12. 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

10 authors at 2 institutions in 1 country.

Sarah M LabudaArkansas Department of Health, Little Rock, AR, USA.ORCID 0000-0002-3312-681X
Clinton J McDanielDivision of Tuberculosis Elimination, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Amish TalwarEpidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Anthwan BraumullerDivision of Tuberculosis Elimination, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Sarah ParkerArkansas Department of Health, Little Rock, AR, USA.
Stephanie McGahaArkansas Department of Health, Little Rock, AR, USA.
Carolynne BlissettArkansas Department of Health, Little Rock, AR, USA.
Jonathan M WorthamDivision of Tuberculosis Elimination, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Leonard MukasaArkansas Department of Health, Little Rock, AR, USA.
Rebekah J StewartDivision of Tuberculosis Elimination, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Centers for Disease Control and Prevention · USArkansas Department of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDuring 2010-2018, the Arkansas Department of Health reported 21 genotype-matched cases of tuberculosis (TB) among residents of a rural county in Arkansas with a low incidence of TB and in nearby counties. The Arkansas Department of Health and the Centers for Disease Control and Prevention investigated to determine the extent of TB transmission and provide recommendations for TB control.

methodsWe reviewed medical and public health records, interviewed patients, and reviewed patients' social media posts to describe patient characteristics, identify epidemiologic links, and establish likely chains of transmission.

resultsWe identified 21 cases; 11 reported during 2010-2013 and 10 during 2016-2018. All case patients were US-born non-Hispanic Black people. Eighteen case patients had the outbreak genotype, and 3 clinically diagnosed (non-culture-confirmed) case patients had epidemiologic links to patients with the outbreak genotype. Social media reviews revealed epidemiologic links among 10 case patients not previously disclosed during interviews. Eight case patients (38%) had ≥1 health care visit during their infectious period, and 7 patients had estimated infectious periods of >12 months.

conclusionsDelayed diagnoses and prolonged infectiousness led to TB transmission in this rural community. TB education and awareness is critical to reducing transmission, morbidity, and mortality, especially in areas where health care providers have limited TB experience. Use of social media can help elucidate people at risk, especially when traditional TB investigation techniques are insufficient.

Indexed as

Rural PopulationAdolescentAdultAlcoholismArkansasBlack or African AmericanChildComorbidityDelayed DiagnosisDisease OutbreaksFemaleGenotypeHumansMaleMycobacterium tuberculosisPolymorphism, Single Nucleotideoutbreak responserural healthtuberculosis

Identifiers

PMID33729050
PMCPMC8721759
OpenAlexW3136046065

What OpenQuestion holds

Textmetadata
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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.