Evidence map›Paper›PMID 31022901›Full record

ArticleTropical medicine and infectious disease2019

Strategic Planning for Tuberculosis Control in the Republic of Fiji.

Romain Ragonnet, Frank Underwood, Tan Doan, Eric Rafai, James Trauer, Emma McBryde

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Genomic epidemiology of theFrontiers in microbiology · 2026
    Article
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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

6 authors.

Romain RagonnetDepartment of Medicine, the University of Melbourne and Department of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia. Romain.Ragonnet@monash.edu.
Frank UnderwoodMinistry of Health and Medical Services, Suva, Fiji. dr.funderwood2011@gmail.com.
Tan DoanAustralian Institute of Tropical Health and Medicine, James Cook University and Department of Medicine, University of Melbourne, Melbourne 3000, Australia. tan.doan@uqconnect.edu.au.
Eric RafaiMinistry of Health and Medical Services, Suva, Fiji. Eric.rafai@govnet.gov.fj.
James TrauerDepartment of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia. james.trauer@monash.edu.
Emma McBrydeAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville 4811, Australia. emma.mcbryde@jcu.edu.au.

Funding

Global Fund to Fight AIDS, Tuberculosis and Malaria !!!!
6 · The paper itself

Abstract

The tuberculosis (TB) health burden in Fiji has been declining in recent years, although challenges remain in improving control of the diabetes co-epidemic and achieving adequate case detection across the widely dispersed archipelago. We applied a mathematical model of TB transmission to the TB epidemic in Fiji that captured the historical reality over several decades, including age stratification, diabetes, varying disease manifestations, and incorrect diagnoses. Next, we simulated six intervention scenarios that are under consideration by the Fiji National Tuberculosis Program. Our findings show that the interventions were able to achieve only modest improvements in disease burden, with awareness raising being the most effective intervention to reduce TB incidence, and treatment support yielding the highest impact on mortality. These improvements would fall far short of the ambitious targets that have been set by the country, and could easily be derailed by moderate increases in the diabetes burden. Furthermore, the effectiveness of the interventions was limited by the extensive pool of latent TB infection, because the programs were directed at only active cases, and thus were unlikely to achieve the desired reductions in burden. Therefore, it is essential to address the co-epidemic of diabetes and treat people with latent TB infection.

Indexed as

disease modellingepidemiologyhealth policypublic healthsimulationtuberculosis

Identifiers

PMID31022901
PMCPMC6631049

What OpenQuestion holds

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LicenceCC BY
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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.