Evidence map›Paper›PMID 40535823›Full record

ArticleInfectious Disease Modelling2025

Modelling the potential impact of TB-funded prevention programs on the transmission dynamics of TB.

V M Mbalilo, F Nyabadza, S P Gatyeni

Abstract read
In one paragraph

Article in Infectious Disease Modelling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Socioeconomic Interventions for WHO's End TB Strategy Targets: Insights from SIR Modelling in Kazakhstan.International journal of environmental research and public health · 2026
    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

3 authors.

V M MbaliloDepartment of Mathematics and Applied Mathematics, University of Johannesburg, South Africa.
F NyabadzaDepartment of Mathematics and Applied Mathematics, University of Johannesburg, South Africa.
S P GatyeniDepartment of Mathematics and Applied Mathematics, University of Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) continues to be a major global health challenge, with millions of new cases and deaths each year despite the massive efforts and funding put in the fight against the disease. In this paper, we develop a mathematical model to evaluate the impact of TB-funded prevention programs on the transmission dynamics of TB. The model incorporates stages of TB infection (latent and active), and accounts for the effects of treatment, funding and TB-funded prevention programs. Our analysis shows that increased funding and enhanced prevention programs reduce the number of active TB cases, thereby decreasing the reproduction number and TB endemicity. Specifically, higher funding rates lead to improved prevention and treatment outcomes, resulting in the lowering of the effective reproduction number

Indexed as

Backward bifurcationModellingPrevention programsSimulationsStability analysisTB-FundingTuberculosis

Identifiers

PMID40535823
PMCPMC12175709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.