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The potential impact of the COVID-19 pandemic on the tuberculosis epidemic a modelling analysis
BACKGROUND: Routine services for tuberculosis (TB) are being disrupted by stringent lockdowns against the novel SARS-CoV-2 virus. We sought to estimate the potential long-term epidemiological impact of such disruptions on TB burden in high-burden countries, and how this negative impact could be miti...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584493/ https://www.ncbi.nlm.nih.gov/pubmed/33134905 http://dx.doi.org/10.1016/j.eclinm.2020.100603 |
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author | Cilloni, Lucia Fu, Han Vesga, Juan F Dowdy, David Pretorius, Carel Ahmedov, Sevim Nair, Sreenivas A. Mosneaga, Andrei Masini, Enos Sahu, Suvanand Arinaminpathy, Nimalan |
author_facet | Cilloni, Lucia Fu, Han Vesga, Juan F Dowdy, David Pretorius, Carel Ahmedov, Sevim Nair, Sreenivas A. Mosneaga, Andrei Masini, Enos Sahu, Suvanand Arinaminpathy, Nimalan |
author_sort | Cilloni, Lucia |
collection | PubMed |
description | BACKGROUND: Routine services for tuberculosis (TB) are being disrupted by stringent lockdowns against the novel SARS-CoV-2 virus. We sought to estimate the potential long-term epidemiological impact of such disruptions on TB burden in high-burden countries, and how this negative impact could be mitigated. METHODS: We adapted mathematical models of TB transmission in three high-burden countries (India, Kenya and Ukraine) to incorporate lockdown-associated disruptions in the TB care cascade. The anticipated level of disruption reflected consensus from a rapid expert consultation. We modelled the impact of these disruptions on TB incidence and mortality over the next five years, and also considered potential interventions to curtail this impact. FINDINGS: Even temporary disruptions can cause long-term increases in TB incidence and mortality. If lockdown-related disruptions cause a temporary 50% reduction in TB transmission, we estimated that a 3-month suspension of TB services, followed by 10 months to restore to normal, would cause, over the next 5 years, an additional 1⋅19 million TB cases (Crl 1⋅06–1⋅33) and 361,000 TB deaths (CrI 333–394 thousand) in India, 24,700 (16,100–44,700) TB cases and 12,500 deaths (8.8–17.8 thousand) in Kenya, and 4,350 (826–6,540) cases and 1,340 deaths (815–1,980) in Ukraine. The principal driver of these adverse impacts is the accumulation of undetected TB during a lockdown. We demonstrate how long term increases in TB burden could be averted in the short term through supplementary “catch-up” TB case detection and treatment, once restrictions are eased. INTERPRETATION: Lockdown-related disruptions can cause long-lasting increases in TB burden, but these negative effects can be mitigated with rapid restoration of TB services, and targeted interventions that are implemented as soon as restrictions are lifted. FUNDING: USAID and Stop TB Partnership |
format | Online Article Text |
id | pubmed-7584493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-75844932020-10-26 The potential impact of the COVID-19 pandemic on the tuberculosis epidemic a modelling analysis Cilloni, Lucia Fu, Han Vesga, Juan F Dowdy, David Pretorius, Carel Ahmedov, Sevim Nair, Sreenivas A. Mosneaga, Andrei Masini, Enos Sahu, Suvanand Arinaminpathy, Nimalan EClinicalMedicine Research Paper BACKGROUND: Routine services for tuberculosis (TB) are being disrupted by stringent lockdowns against the novel SARS-CoV-2 virus. We sought to estimate the potential long-term epidemiological impact of such disruptions on TB burden in high-burden countries, and how this negative impact could be mitigated. METHODS: We adapted mathematical models of TB transmission in three high-burden countries (India, Kenya and Ukraine) to incorporate lockdown-associated disruptions in the TB care cascade. The anticipated level of disruption reflected consensus from a rapid expert consultation. We modelled the impact of these disruptions on TB incidence and mortality over the next five years, and also considered potential interventions to curtail this impact. FINDINGS: Even temporary disruptions can cause long-term increases in TB incidence and mortality. If lockdown-related disruptions cause a temporary 50% reduction in TB transmission, we estimated that a 3-month suspension of TB services, followed by 10 months to restore to normal, would cause, over the next 5 years, an additional 1⋅19 million TB cases (Crl 1⋅06–1⋅33) and 361,000 TB deaths (CrI 333–394 thousand) in India, 24,700 (16,100–44,700) TB cases and 12,500 deaths (8.8–17.8 thousand) in Kenya, and 4,350 (826–6,540) cases and 1,340 deaths (815–1,980) in Ukraine. The principal driver of these adverse impacts is the accumulation of undetected TB during a lockdown. We demonstrate how long term increases in TB burden could be averted in the short term through supplementary “catch-up” TB case detection and treatment, once restrictions are eased. INTERPRETATION: Lockdown-related disruptions can cause long-lasting increases in TB burden, but these negative effects can be mitigated with rapid restoration of TB services, and targeted interventions that are implemented as soon as restrictions are lifted. FUNDING: USAID and Stop TB Partnership Elsevier 2020-10-24 /pmc/articles/PMC7584493/ /pubmed/33134905 http://dx.doi.org/10.1016/j.eclinm.2020.100603 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Paper Cilloni, Lucia Fu, Han Vesga, Juan F Dowdy, David Pretorius, Carel Ahmedov, Sevim Nair, Sreenivas A. Mosneaga, Andrei Masini, Enos Sahu, Suvanand Arinaminpathy, Nimalan The potential impact of the COVID-19 pandemic on the tuberculosis epidemic a modelling analysis |
title | The potential impact of the COVID-19 pandemic on the tuberculosis epidemic a modelling analysis |
title_full | The potential impact of the COVID-19 pandemic on the tuberculosis epidemic a modelling analysis |
title_fullStr | The potential impact of the COVID-19 pandemic on the tuberculosis epidemic a modelling analysis |
title_full_unstemmed | The potential impact of the COVID-19 pandemic on the tuberculosis epidemic a modelling analysis |
title_short | The potential impact of the COVID-19 pandemic on the tuberculosis epidemic a modelling analysis |
title_sort | potential impact of the covid-19 pandemic on the tuberculosis epidemic a modelling analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584493/ https://www.ncbi.nlm.nih.gov/pubmed/33134905 http://dx.doi.org/10.1016/j.eclinm.2020.100603 |
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