Global burden of disease due to rifampicin-resistant tuberculosis in 2020: a mathematical modelling analysis

Menzies, N., Allwood, B.W., Dean, A. et al. (10 more authors) (2023) Global burden of disease due to rifampicin-resistant tuberculosis in 2020: a mathematical modelling analysis. Nature Communications, 14. 6182. ISSN 2041-1723

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Copyright, Publisher and Additional Information: © 2023 The Author(s). 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/ licenses/by/4.0/.
Keywords: Developing world; Epidemiology; Statistical methods; Tuberculosis
Dates:
  • Accepted: 22 September 2023
  • Published (online): 4 October 2023
  • Published: 4 October 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Funding Information:
FunderGrant number
MEDICAL RESEARCH COUNCILMR/W029227/1
Depositing User: Symplectic Sheffield
Date Deposited: 06 Oct 2023 08:02
Last Modified: 09 Oct 2023 09:00
Status: Published
Publisher: Nature research
Refereed: Yes
Identification Number: https://doi.org/10.1038/s41467-023-41937-9
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