Evidence map›Paper›PMID 39774490›Full record

ArticlePLOS global public health2025

Tuberculosis healthcare service disruptions during the COVID-19 pandemic in Brazil, India and South Africa: A model-based analysis of country-level data.

Abigail K de Villiers, Muhammad Osman, Claudio J Struchiner, Anete Trajman, Dheeraj Tumu, Vaibhav V Shah, Guilherme L Werneck, Layana C Alves, Megha Choudhary, Sunita Verma and 5 more

Abstract read
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Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

15 authors.

Abigail K de VilliersDesmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.ORCID https://orcid.org/0000-0003-0888-1087
Muhammad OsmanDesmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.
Claudio J StruchinerSchool of Applied Mathematics, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0003-2114-847X
Anete TrajmanDepartment of Internal Medicine, Medical School, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0002-4000-4984
Dheeraj TumuCentral TB Division, National TB Elimination Program, Ministry of Health, Government of India, India.
Vaibhav V ShahCentral TB Division, National TB Elimination Program, Ministry of Health, Government of India, India.
Guilherme L WerneckDepartment of Epidemiology, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Layana C AlvesCollective Health Institute, Federal University of Bahia, Salvador, Brazil.ORCID https://orcid.org/0000-0003-3512-7872
Megha ChoudharyDepartment of Microbiology, All India Institute of Medical Sciences, New Delhi, India.
Sunita VermaDepartment of Microbiology, All India Institute of Medical Sciences, New Delhi, India.
Sanjay K MattooCentral TB Division, National TB Elimination Program, Ministry of Health, Government of India, India.
Sue-Ann MeehanDesmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.ORCID https://orcid.org/0000-0002-0826-1833
Urvashi B SinghDepartment of Microbiology, All India Institute of Medical Sciences, New Delhi, India.
Anneke C HesselingDesmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.
Florian M MarxDesmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is the leading infectious disease cause of death worldwide. In recent years, stringent measures to contain the spread of SARS-CoV-2 have led to considerable disruptions of healthcare services for TB in many countries. The extent to which these measures have affected TB testing, treatment initiation and outcomes has not been comprehensively assessed. We aimed to estimate TB healthcare service disruptions occurring during the COVID-19 pandemic in Brazil, India, and South Africa. We obtained country-level TB programme and laboratory data and used autoregressive integrated moving average (ARIMA) time-series models to estimate healthcare service disruptions with respect to TB testing, treatment initiation, and treatment outcomes. We quantified disruptions as the percentage difference between TB indicator data observed during the COVID-19 pandemic compared with values for a hypothetical no-COVID scenario, predicted through forecasting of trends during a three-year pre-pandemic period. Annual estimates for 2020-2022 were derived from aggregated monthly data. We estimated that in 2020, the number of bacteriological tests conducted for TB diagnosis was 24.3% (95% uncertainty interval: 8.4%;36.6%) lower in Brazil, 27.8% (19.8;3 4.8%) lower in India, and 32.0% (28.9%;34.9%) lower in South Africa compared with values predicted for the no-COVID scenario. TB treatment initiations were 17.4% (13.9%;20.6%) lower than predicted in Brazil, 43.3% (39.8%;46.4%) in India, and 27.0% (15.2%;36.3%) in South Africa. Reductions in 2021 were less severe compared with 2020. The percentage deaths during TB treatment were 13.7% (8.1%; 19.7%) higher than predicted in Brazil, 1.7% (-8.9%;14.0%) in India and 21.8% (7.4%;39.2%) in South Africa. Our analysis suggests considerable disruptions of TB healthcare services occurred during the early phase of the COVID-19 pandemic in Brazil, India, and South Africa, with at least partial recovery in the following years. Sustained efforts to mitigate the detrimental impact of COVID-19 on TB healthcare services are needed.

Identifiers

PMID39774490
PMCPMC11706508

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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.