Evidence map›Paper›PMID 31251797›Full record

ArticleAmerican journal of epidemiology2019

Impact and Effectiveness of State-Level Tuberculosis Interventions in California, Florida, New York, and Texas: A Model-Based Analysis.

Sourya Shrestha, Sarah Cherng, Andrew N Hill, Sue Reynolds, Jennifer Flood, Pennan M Barry, Adam Readhead, Margaret Oxtoby, Michael Lauzardo, Tom Privett and 2 more

Abstract read
In one paragraph

Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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
  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. Review
  12. Article
  13. Comparative Modeling of Tuberculosis Epidemiology and Policy Outcomes in California.American journal of respiratory and critical care medicine · 2020
    Article
  14. Article
  15. 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

12 authors.

Sourya ShresthaDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Sarah CherngDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Andrew N HillDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia.
Sue ReynoldsDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia.
Jennifer FloodTuberculosis Control Branch, Division of Communicable Disease Control, Centre for Infectious Diseases, California Department of Public Health, Richmond, California.
Pennan M BarryTuberculosis Control Branch, Division of Communicable Disease Control, Centre for Infectious Diseases, California Department of Public Health, Richmond, California.
Adam ReadheadTuberculosis Control Branch, Division of Communicable Disease Control, Centre for Infectious Diseases, California Department of Public Health, Richmond, California.
Margaret OxtobyBureau of Tuberculosis Control, New York State Department of Health, Albany, New York.
Michael LauzardoDivision of Infectious Diseases and Global Medicine, College of Medicine, University of Florida, Gainesville, Florida.
Tom PrivettTuberculosis Control Section, Florida Department of Health, Tallahassee, Florida.
Suzanne M MarksDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia.
David W DowdyDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
Methods and Data CoreR24HD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI TOLNAY, STEWART E · 2002 to 2016
$9.3M
Statistical Methods for Network EpidemiologyR01HD068395 · NICHD · UNIVERSITY OF WASHINGTON · PI MORRIS, WANDA MARTINA · 2011 to 2015
$3.0M
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
Using Sexual Network Transmission Models to Explain HIV Disparities Between BlackR21HD075662 · NICHD · UNIVERSITY OF WASHINGTON · PI GOODREAU, STEVEN M. · 2013 to 2014
$418k
Intramural CDC HHS CC999999NCHHSTP CDC HHS U38 PS004646NIAID NIH HHS P30 AI050409NICHD NIH HHS R01 HD068395NICHD NIH HHS R21 HD075662NICHD NIH HHS R24 HD042828
6 · The paper itself

Abstract

The incidence of tuberculosis (TB) in the United States has stabilized, and additional interventions are needed to make progress toward TB elimination. However, the impact of such interventions depends on local demography and the heterogeneity of populations at risk. Using state-level individual-based TB transmission models calibrated to California, Florida, New York, and Texas, we modeled 2 TB interventions: 1) increased targeted testing and treatment (TTT) of high-risk populations, including people who are non-US-born, diabetic, human immunodeficiency virus (HIV)-positive, homeless, or incarcerated; and 2) enhanced contact investigation (ECI) for contacts of TB patients, including higher completion of preventive therapy. For each intervention, we projected reductions in active TB incidence over 10 years (2016-2026) and numbers needed to screen and treat in order to avert 1 case. We estimated that TTT delivered to half of the non-US-born adult population could lower TB incidence by 19.8%-26.7% over a 10-year period. TTT delivered to smaller populations with higher TB risk (e.g., HIV-positive persons, homeless persons) and ECI were generally more efficient but had less overall impact on incidence. TTT targeted to smaller, highest-risk populations and ECI can be highly efficient; however, major reductions in incidence will only be achieved by also targeting larger, moderate-risk populations. Ultimately, to eliminate TB in the United States, a combination of these approaches will be necessary.

Indexed as

Contact TracingCaliforniaFloridaHumansIncidenceModels, TheoreticalNew YorkRisk FactorsTexasTuberculosisUnited Statesmathematical modelingpreventative therapytuberculosistuberculosis prevention

Identifiers

PMID31251797
PMCPMC6736179

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.