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Modelling the global burden of drug-resistant tuberculosis avertable by a post-exposure vaccine

There have been notable advances in the development of vaccines against active tuberculosis (TB) disease for adults and adolescents. Using mathematical models, we seek to estimate the potential impact of a post-exposure TB vaccine, having 50% efficacy in reducing active disease, on global rifampicin...

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Autores principales: Fu, Han, Lewnard, Joseph A., Frost, Isabel, Laxminarayan, Ramanan, Arinaminpathy, Nimalan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814030/
https://www.ncbi.nlm.nih.gov/pubmed/33462224
http://dx.doi.org/10.1038/s41467-020-20731-x
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author Fu, Han
Lewnard, Joseph A.
Frost, Isabel
Laxminarayan, Ramanan
Arinaminpathy, Nimalan
author_facet Fu, Han
Lewnard, Joseph A.
Frost, Isabel
Laxminarayan, Ramanan
Arinaminpathy, Nimalan
author_sort Fu, Han
collection PubMed
description There have been notable advances in the development of vaccines against active tuberculosis (TB) disease for adults and adolescents. Using mathematical models, we seek to estimate the potential impact of a post-exposure TB vaccine, having 50% efficacy in reducing active disease, on global rifampicin-resistant (RR-) TB burden. In 30 countries that together accounted for 90% of global RR-TB incidence in 2018, a future TB vaccine could avert 10% (95% credible interval: 9.7–11%) of RR-TB cases and 7.3% (6.6–8.1%) of deaths over 2020–2035, with India, China, Indonesia, Pakistan, and the Russian Federation having the greatest contribution. This impact would increase to 14% (12–16%) and 31% (29–33%) respectively, when combined with improvements in RR-TB diagnosis and treatment relative to a scenario of no vaccine and no such improvements. A future TB vaccine could have important implications for the global control of RR-TB, especially if implemented alongside enhancements in management of drug resistance.
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spelling pubmed-78140302021-01-25 Modelling the global burden of drug-resistant tuberculosis avertable by a post-exposure vaccine Fu, Han Lewnard, Joseph A. Frost, Isabel Laxminarayan, Ramanan Arinaminpathy, Nimalan Nat Commun Article There have been notable advances in the development of vaccines against active tuberculosis (TB) disease for adults and adolescents. Using mathematical models, we seek to estimate the potential impact of a post-exposure TB vaccine, having 50% efficacy in reducing active disease, on global rifampicin-resistant (RR-) TB burden. In 30 countries that together accounted for 90% of global RR-TB incidence in 2018, a future TB vaccine could avert 10% (95% credible interval: 9.7–11%) of RR-TB cases and 7.3% (6.6–8.1%) of deaths over 2020–2035, with India, China, Indonesia, Pakistan, and the Russian Federation having the greatest contribution. This impact would increase to 14% (12–16%) and 31% (29–33%) respectively, when combined with improvements in RR-TB diagnosis and treatment relative to a scenario of no vaccine and no such improvements. A future TB vaccine could have important implications for the global control of RR-TB, especially if implemented alongside enhancements in management of drug resistance. Nature Publishing Group UK 2021-01-18 /pmc/articles/PMC7814030/ /pubmed/33462224 http://dx.doi.org/10.1038/s41467-020-20731-x Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Fu, Han
Lewnard, Joseph A.
Frost, Isabel
Laxminarayan, Ramanan
Arinaminpathy, Nimalan
Modelling the global burden of drug-resistant tuberculosis avertable by a post-exposure vaccine
title Modelling the global burden of drug-resistant tuberculosis avertable by a post-exposure vaccine
title_full Modelling the global burden of drug-resistant tuberculosis avertable by a post-exposure vaccine
title_fullStr Modelling the global burden of drug-resistant tuberculosis avertable by a post-exposure vaccine
title_full_unstemmed Modelling the global burden of drug-resistant tuberculosis avertable by a post-exposure vaccine
title_short Modelling the global burden of drug-resistant tuberculosis avertable by a post-exposure vaccine
title_sort modelling the global burden of drug-resistant tuberculosis avertable by a post-exposure vaccine
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814030/
https://www.ncbi.nlm.nih.gov/pubmed/33462224
http://dx.doi.org/10.1038/s41467-020-20731-x
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