Evidence map›Paper›PMID 31411176›Full record

ArticleThe Indian journal of medical research2019

Strategies for ending tuberculosis in the South-East Asian Region: A modelling approach.

Nimalan Arinaminpathy, Sandip Mandal, Vineet Bhatia, Ross McLeod, Mukta Sharma, Soumya Swaminathan, Khurshid Alam Hyder, Partha Pratim Mandal, Swarup Kumar Sarkar, Poonam Khetrapal Singh

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In one paragraph

Article in The Indian journal of medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A model for the epidemiological impact of tuberculosis policy options.Bulletin of the World Health Organization · 2026
    Article
  3. Article
  4. From DOTS to DOST: a new framework for TB elimination in India.The Lancet regional health. Southeast Asia · 2026
    Review
  5. Article
  6. ThemedRxiv : the preprint server for health sciences · 2025
    Article
  7. Article
  8. Overlooked, dismissed, and downplayed: reversion ofEuropean respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
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.

Nimalan ArinaminpathyDepartment of Infectious Disease Epidemiology, St. Mary's Hospital, Imperial College, London, UK.
Sandip MandalPublic Health Foundation of India, New Delhi, India.
Vineet BhatiaWorld Health Organization, South-East Asian Regional Office, New Delhi, India.
Ross McLeodeSYS Development, Sydney, Australia.
Mukta SharmaWorld Health Organization, South-East Asian Regional Office, New Delhi, India.
Soumya SwaminathanIndian Council of Medical Research, New Delhi, India.
Khurshid Alam HyderWorld Health Organization, South-East Asian Regional Office, New Delhi, India.
Partha Pratim MandalWorld Health Organization, South-East Asian Regional Office, New Delhi, India.
Swarup Kumar SarkarWorld Health Organization, South-East Asian Regional Office, New Delhi, India.
Poonam Khetrapal SinghWorld Health Organization, South-East Asian Regional Office, New Delhi, India.

Funding

Medical Research Council MR/R015600/1World Health Organization 001
6 · The paper itself

Abstract

Background & objectives: To support recent political commitments to end tuberculosis (TB) in the World Health Organization South-East Asian Region (SEAR), there is a need to understand by what measures, and with what investment, these goals could be reached. These questions were addressed by using mathematical models of TB transmission by doing the analysis on a country-by-country basis in SEAR. Methods: A dynamical model of TB transmission was developed, in consultation with each of the 11 countries in the SEAR. Three intervention scenarios were examined: (i) strengthening basic TB services (including private sector engagement), (ii) accelerating TB case-finding and notification, and (iii) deployment of a prognostic biomarker test by 2025, to guide mass preventive therapy of latent TB infection. Each scenario was built on the preceding ones, in successive combination. Results: Comprehensive improvements in basic TB services by 2020, in combination with accelerated case-finding to increase TB detection by at least two-fold by 2020, could lead to a reduction in TB incidence rates in SEAR by 67.3 per cent [95% credible intervals (CrI) 65.3-69.8] and TB deaths by 80.9 per cent (95% CrI 77.9-84.7) in 2035, relative to 2015. These interventions alone would require an additional investment of at least US$ 25 billion. However, their combined effect is insufficient to reach the end TB targets of 80 per cent by 2030 and 90 per cent by 2035. Model projections show how additionally, deployment of a biomarker test by 2025 could end TB in the region by 2035. Targeting specific risk groups, such as slum dwellers, could mitigate the coverage needed in the general population, to end TB in the Region. Interpretation & conclusions: While the scale-up of currently available strategies may play an important role in averting TB cases and deaths in the Region, there will ultimately be a need for novel, mass preventive measures, to meet the end TB goals. Achieving these impacts will require a substantial escalation in funding for TB control in the Region.

Indexed as

Models, TheoreticalHumansIndiaLatent TuberculosisTuberculosisWorld Health OrganizationBurdenend TBepidemiologymodellingpublic healthSEAR - tuberculosis

Identifiers

PMID31411176
PMCPMC6676838

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LicenceCC BY-NC-SA
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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.