Evidence map›Paper›PMID 41268422›Full record

ArticleOpen forum infectious diseases2025

The Role of Community Networks in the Transmission and Persistence of

Ronald Galiwango, Trang Quach, Sarah Zalwango, Samuel Kirimunda, Robert Kakaire, Juliet N Sekandi, Caitlin Williams, Jianing Xu, Frederick Quinn, Liang Liu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Ronald GaliwangoThe African Center of Excellence in Bioinformatics and Data Intensive Sciences, Infectious Disease Institute, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0000-0002-5962-151X
Trang QuachGlobal Health Institute, College of Public Health, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-0398-9761
Sarah ZalwangoPublic Health Services and Environment, Kampala Capital City Authority, Kampala, Uganda.
Samuel KirimundaDepartment of Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda.
Robert KakaireGlobal Health Institute, College of Public Health, University of Georgia, Athens, Georgia, USA.
Juliet N SekandiGlobal Health Institute, College of Public Health, University of Georgia, Athens, Georgia, USA.
Caitlin WilliamsDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0009-0000-0440-6129
Jianing XuDepartment of Statistics, Franklin College, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-3891-8867
Frederick QuinnDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, Georgia, USA.
Liang LiuDepartment of Statistics, Franklin College, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0003-0568-4264
Noah KiwanukaDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0000-0003-2471-9290
Christopher C WhalenGlobal Health Institute, College of Public Health, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-8081-0665

Funding

Emory/Georgia TB Research Advancement Center (TRAC)P30AI168386 · NIAID · EMORY UNIVERSITY · PI Jeffrey M Collins · 2022 to 2026
$5.8M
NIAID NIH HHS P30 AI168386
6 · The paper itself

Abstract

Background: Tuberculosis persists today in many resource-limited countries in the southern hemisphere because unobserved transmission of Methods: To study the transmission dynamics of Findings: We found that characteristics of this sociocentric network account, in part, for tuberculosis persistence. These characteristics included highly connected network members, or hubs, where mixing among contacts may occur; predominant transmission among contacts with weak, or distant, ties to the index case; and geographic structural holes in the network that may link cases with these unknown contacts. Interpretation: These findings suggest that active case finding within the social networks of index cases may result in marginal gains in reducing transmission of tuberculosis. To achieve greater gains, transmission in the community may be reduced through population-based strategies that disrupt transmission in geographic hubs of transmission where mixing may occur between infectious cases and community contacts. Funding: This research was conducted with support from the National Institute of Health (AI093856, AI147319, P30 AI 68386, D43TW010045, D43TW012481).

Indexed as

Africacontact networksM. tuberculosistransmission dynamicstuberculosis

Identifiers

PMID41268422
PMCPMC12628501

What OpenQuestion holds

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LicenceCC BY
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.