Evidence map›Paper›PMID 28475845›Full record

ArticleAmerican journal of respiratory and critical care medicine2017

Comparing Drivers and Dynamics of Tuberculosis in California, Florida, New York, and Texas.

Sourya Shrestha, Andrew N Hill, Suzanne M Marks, David W Dowdy

Abstract readComparative Study
In one paragraph

Article in American journal of respiratory and critical care medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Demographic Control Measure Implications of Tuberculosis Infection for Migrant Workers across Taiwan Regions.International journal of environmental research and public health · 2022
    Article
  8. Review
  9. Confronting Structural Racism in the Prevention and Control of Tuberculosis in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  10. Model-based Cost-effectiveness of State-level Latent Tuberculosis Interventions in California, Florida, New York, and Texas.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  11. Identifying Priorities for Testing and Treatment of Latent Tuberculosis Infection in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  12. Article
  13. Article
  14. Comparative Modeling of Tuberculosis Epidemiology and Policy Outcomes in California.American journal of respiratory and critical care medicine · 2020
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Sourya Shrestha1 Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; and.ORCID 0000-0002-6106-6834
Andrew N Hill2 Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia.
Suzanne M Marks2 Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia.
David W Dowdy1 Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; and.

Funding

ENHANCING MODELS OF HIV, VIRAL HEPATITIS, STIs, AND TUBERCULOSIS TO INFORM AND IMPROVE PUBLIC HEALTH IMPACTU38PS004646 · PS · EMORY UNIVERSITY · PI SULLIVAN, PATRICK · 2014 to 2015
$2.9M
Intramural CDC HHS CC999999NCHHSTP CDC HHS U38 PS004646
6 · The paper itself

Abstract

rationaleThere is substantial state-to-state heterogeneity in tuberculosis (TB) in the United States; better understanding this heterogeneity can inform effective response to TB at the state level, the level at which most TB control efforts are coordinated.

objectivesTo characterize drivers of state-level heterogeneity in TB epidemiology in the four U.S. states that bear half the country's TB burden: California, Florida, New York, and Texas.

methodsWe constructed an individual-based model of TB in the four U.S. states and calibrated the model to state-specific demographic and age- and nativity-stratified TB incidence data. We used the model to infer differences in natural history of TB and in future projections of TB. MEASUREMENTS AND MAIN

resultsWe found that differences in both demographic makeup (particularly the size and composition of the foreign-born population) and TB transmission dynamics contribute to state-level differences in TB epidemiology. The projected median annual rate of decline in TB incidence in the next decade was substantially higher in Texas (3.3%; 95% range, -5.6 to 10.9) than in California (1.7%; 95% range, -3.8 to 7.1), Florida (1.5%; 95% range, -7.4 to 14), and New York (1.9%; 95% range, -6.4 to 9.8). All scenarios projected a flattening of the decline in TB incidence by 2025 without additional resources or interventions.

conclusionsThere is substantial state-level heterogeneity in TB epidemiology in the four states, which reflect both demographic factors and potential differences in the natural history of TB. These differences may inform resource allocation decisions in these states.

Indexed as

AdultAgedAged, 80 and overAge FactorsCaliforniaFemaleFloridaHumansIncidenceMaleMiddle AgedModels, TheoreticalNew YorkPopulation SurveillanceSocioeconomic FactorsTexasgeographical heterogeneity in tuberculosismathematical modeling of tuberculosistuberculosistuberculosis in the United States

Identifiers

PMID28475845
PMCPMC5808932

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.