Evidence map›Paper›PMID 42523802›Full record

ArticleFrontiers in public health2026

Modelling tuberculosis transmission dynamics in Malaysia.

Mei Cheng Lim, Nur'ain Mohd Ghazali, Mohd Kamarulariffin Kamarudin, Nuur Hafizah Md Iderus, Sumarni Mohd Ghazali, Mohd Azahadi Omar, Suzana Mohd Hashim, Siti Hafsah Abdul Halim, Shazelin Alipitchay, Asmah Razali and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Mei Cheng LimSpecial Resource Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health, Shah Alam, Malaysia.
Nur'ain Mohd GhazaliSpecial Resource Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health, Shah Alam, Malaysia.
Mohd Kamarulariffin KamarudinSpecial Resource Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health, Shah Alam, Malaysia.
Nuur Hafizah Md IderusSpecial Resource Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health, Shah Alam, Malaysia.
Sumarni Mohd GhazaliSpecial Resource Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health, Shah Alam, Malaysia.
Mohd Azahadi OmarSpecial Resource Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health, Shah Alam, Malaysia.
Suzana Mohd HashimTuberculosis and Leprosy Control Sector, Disease Control Division, Ministry of Health, Putrajaya, Malaysia.
Siti Hafsah Abdul HalimTuberculosis and Leprosy Control Sector, Disease Control Division, Ministry of Health, Putrajaya, Malaysia.
Shazelin AlipitchayTuberculosis and Leprosy Control Sector, Disease Control Division, Ministry of Health, Putrajaya, Malaysia.
Asmah RazaliTuberculosis and Leprosy Control Sector, Disease Control Division, Ministry of Health, Putrajaya, Malaysia.
Siti Roszilawati RamliInfectious Disease Research Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health, Shah Alam, Malaysia.
Balvinder Singh GillNational Public Health Laboratory, Ministry of Health, Sungai Buloh, Malaysia.
Norazaliza Mohd JamilCentre for Mathematical Sciences, Universiti Malaysia Pahang Al-Sultan Abdullah, Kuantan, Malaysia.
Sarat Chandra DassSchool of Mathematical and Computer Sciences, Heriot-Watt University Malaysia, Putrajaya, Malaysia.
Sarbhan SinghSpecial Resource Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health, Shah Alam, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tuberculosis (TB) remains a major global public health challenge requiring urgent interventions to achieve the World Health Organization (WHO) End TB Strategy targets. This study aimed to develop and validate a compartmental model to estimate the TB reproduction number (R Methods: A Susceptible-Latent Fast-Latent Slow-Infectious-Recovered (SL Results: The calibrated model-estimated TB cases and incidence showed good fit to observed TB cases and incidence during calibration and short-term validation periods, with satisfactory performance metrics. The estimated R Conclusion: The SL

Indexed as

TuberculosisBasic Reproduction NumberHumansIncidenceMalaysiacompartmental modelend TB strategyMalaysiareproduction numbertransmission dynamicstuberculosis

Identifiers

PMID42523802
PMCPMC13407623

What OpenQuestion holds

Textmetadata
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.