Evidence map›Paper›PMID 35474076›Full record

ArticleScientific reports2022

Characterizing tuberculosis transmission dynamics in high-burden urban and rural settings.

Jonathan P Smith, John E Oeltmann, Andrew N Hill, James L Tobias, Rosanna Boyd, Eleanor S Click, Alyssa Finlay, Chawangwa Mondongo, Nicola M Zetola, Patrick K Moonan

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Heterogeneity of Mycobacterium tuberculosis Strains Circulating in Panama's Western Region.The American journal of tropical medicine and hygiene · 2023
    Article
  13. Ending tuberculosis by 2030: understanding the transmission.The Lancet regional health. Western Pacific · 2023
    Article
  14. Article
  15. Pathogens (Basel, Switzerland) · 2022
    Review
  16. Yes, it matters who is spreading monkeypox.The Lancet. Infectious diseases · 2022
    Article
  17. 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.

Jonathan P SmithDepartment of Health Policy and Management, Yale School of Public Health, 60 College Street, New Haven, CT, 06510, USA. jonathan.p.smith@yale.edu.
John E OeltmannDivision of Global HIV and Tuberculosis, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Andrew N HillDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, GA, USA.
James L TobiasPeraton, 2800 Century Pkwy NE, Atlanta, GA, USA.
Rosanna BoydDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Eleanor S ClickDivision of Global HIV and Tuberculosis, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Alyssa FinlayDivision of Global HIV and Tuberculosis, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Chawangwa MondongoBotswana-UPenn Partnership, University of Pennsylvania, Philadelphia, USA.
Nicola M ZetolaBotswana-UPenn Partnership, University of Pennsylvania, Philadelphia, USA.
Patrick K MoonanDivision of Global HIV and Tuberculosis, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

Dynamics of TB and MDR TB transmission in areas with high HIV prevalenceR01AI097045 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ZETOLA, NICOLA MARIO · 2011 to 2015
$2.9M
NIAID NIH HHS R01 AI097045NIAID NIH HHS R01AI097045PEPFAR
6 · The paper itself

Abstract

Mycobacterium tuberculosis transmission dynamics in high-burden settings are poorly understood. Growing evidence suggests transmission may be characterized by extensive individual heterogeneity in secondary cases (i.e., superspreading), yet the degree and influence of such heterogeneity is largely unknown and unmeasured in high burden-settings. We conducted a prospective, population-based molecular epidemiology study of TB transmission in both an urban and rural setting of Botswana, one of the highest TB burden countries in the world. We used these empirical data to fit two mathematical models (urban and rural) that jointly quantified both the effective reproductive number, [Formula: see text], and the propensity for superspreading in each population. We found both urban and rural populations were characterized by a high degree of individual heterogeneity, however such heterogeneity disproportionately impacted the rural population: 99% of secondary transmission was attributed to only 19% of infectious cases in the rural population compared to 60% in the urban population and the median number of incident cases until the first outbreak of 30 cases was only 32 for the rural model compared to 791 in the urban model. These findings suggest individual heterogeneity plays a critical role shaping local TB epidemiology within subpopulations.

Indexed as

Mycobacterium tuberculosisTuberculosisHumansProspective StudiesRural PopulationUrban Population

Identifiers

PMID35474076
PMCPMC9042872

What OpenQuestion holds

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Registered trials

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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.