Evidence map›Paper›PMID 36962192›Full record

ArticlePLOS global public health2022

Impacts of COVID-19-related service disruptions on TB incidence and deaths in Indonesia, Kyrgyzstan, Malawi, Mozambique, and Peru: Implications for national TB responses.

Rowan Martin-Hughes, Lung Vu, Nejma Cheikh, Sherrie L Kelly, Nicole Fraser-Hurt, Zara Shubber, Ivan Manhiça, Kuzani Mbendera, Belaineh Girma, Imran Pambudi and 9 more

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-weighted citation impact, top 9% of its field
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

17 citing papers in PubMed, 26 citations in OpenAlex.

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  6. COVID-19 policies and tuberculosis services in private health sectors of India, Indonesia, and Nigeria.Journal of clinical tuberculosis and other mycobacterial diseases · 2025
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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

19 authors at 6 institutions in 6 countries.

Rowan Martin-HughesBurnet Institute, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-3724-2412
Lung VuThe World Bank, N.W. Washington, DC, United States of America.ORCID https://orcid.org/0000-0001-9088-7407
Nejma CheikhThe World Bank, N.W. Washington, DC, United States of America.ORCID https://orcid.org/0000-0002-0027-5982
Sherrie L KellyBurnet Institute, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-6232-5586
Nicole Fraser-HurtThe World Bank, N.W. Washington, DC, United States of America.ORCID https://orcid.org/0000-0003-3065-8666
Zara ShubberThe World Bank, N.W. Washington, DC, United States of America.ORCID https://orcid.org/0000-0002-7102-1867
Ivan ManhiçaNTP Mozambique, Maputo, Mozambique.
Kuzani MbenderaNTP Malawi, Ministry of Health, Lilongwe, Malawi.
Belaineh GirmaNTP Malawi, Ministry of Health, Lilongwe, Malawi.
Imran PambudiNTP Indonesia, Ministry of Health, Jakarta Selatan, Indonesia.
Julia RíosNTP Peru, Ministry of Health, Jesús María, Lima, Peru.
Abdrahmanova ElmiraNTP Kyrgyzstan, Bishkek, Kyrgyzstan.ORCID https://orcid.org/0000-0001-8754-2985
Pandu HarimurtiThe World Bank, N.W. Washington, DC, United States of America.
Reem HafezThe World Bank, N.W. Washington, DC, United States of America.
Jaime Nicolas Bayona GarciaThe World Bank, N.W. Washington, DC, United States of America.ORCID https://orcid.org/0000-0003-3744-8055
Tom PalmerInstitute for Global Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-9526-0045
Anna RobertsBurnet Institute, Melbourne, Victoria, Australia.
Marelize GorgensThe World Bank, N.W. Washington, DC, United States of America.
David WilsonThe World Bank, N.W. Washington, DC, United States of America.ORCID https://orcid.org/0000-0002-3862-3866
World Bank · USBurnet Institute · AUPublic Health Institute of Malawi · MWMinistry of Health · PEMinistry of Health · IDUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Initial global-level estimates reported in June 2020 by the World Health Organization suggested that levels of disruption to TB service delivery could be as high as 25%-50% and result in an additional 6·3 million cases of tuberculosis (TB) and an additional 1·4 million TB-related deaths attributable to COVID-19 between 2020 and 2025. Quarterly epidemiological estimates and programmatic TB data capturing disruption levels to each TB service were collected by National TB Programmes in Indonesia, Kyrgyzstan, Malawi, Mozambique, and Peru. Data from 2019, for a pre-COVID-19 baseline, and throughout 2020, together with the NTP's COVID-19 response plans, were used within Optima TB models to project TB incidence and deaths over five years because of COVID-19-related disruptions, and the extent to which those impacts may be mitigated through proposed catch-up strategies in each country. Countries reported disruptions of up to 64% to demand-driven TB diagnosis. However, TB service availability disruptions were shorter and less severe, with TB treatment experiencing levels of disruption of up to 21%. We predicted that under the worse-case scenario cumulative new latent TB infections, new active TB infections, and TB-related deaths could increase by up to 23%, 11%, and 20%, respectively, by 2024. However, three of the five countries were on track to mitigate these increases to 3% or less by maintaining TB services in 2021 and 2022 and by implementing proposed catch-up strategies. Indonesia was already experiencing the worse-case scenario, which could lead to 270,000 additional active TB infections and 36,000 additional TB-related deaths by the end of 2024. The COVID-19 pandemic is projected to negatively affect progress towards 2035 End TB targets, especially in countries already off-track. Findings highlight both successful TB service delivery adaptions in 2020 and the need to proactively maintain TB service availability despite potential future waves of more transmissible COVID-19 variants.

Identifiers

PMID36962192
PMCPMC10021439
OpenAlexW4226271732

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read107
identifiers read9
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.