Prediction of different interventions on the burden of drug-resistant tuberculosis in China: a dynamic modelling study

Author:

Xu AoORCID,Wen Ze-xuanORCID,Wang Yue,Wang Wei-bing

Funder

National Natural Science Foundation of China

National Major Science and Technology Projects of China

Publisher

Elsevier BV

Subject

Microbiology (medical),Immunology,Immunology and Allergy,Microbiology

Reference21 articles.

1. Organization WH. Global tuberculosis report 2019. Licence: CC BY-NC-SA 30 IGO 2019. https://apps.who.int/iris/handle/10665/329368 [accessed May 2021].

2. Organization GWH. Public–private mix (PPM) for TB prevention and care 2019. https://www.who.int/tb/areas-of-work/public-private-mix/en/[accessed May 2021].

3. Drug-resistant tuberculosis in eastern Europe and central Asia: a time-series analysis of routine surveillance data;Dadu;Lancet Infect Dis,2020

4. The use of mathematical models in the study of the epidemiology of tuberculosis;Waaler;Am J Public Health Nations Health,1962

5. Tuberculosis control in China: use of modelling to develop targets and policies;Lin;Bull World Health Org,2015

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