Estimating the Effects of the COVID-19 Outbreak on the Reductions in Tuberculosis Cases and the Epidemiological Trends in China: A Causal Impact Analysis-Reference-Cited by-同舟云学术

Estimating the Effects of the COVID-19 Outbreak on the Reductions in Tuberculosis Cases and the Epidemiological Trends in China: A Causal Impact Analysis

Published:2021-11 Issue: Volume:Volume 14 Page:4641-4655
ISSN:1178-6973
Container-title:Infection and Drug Resistance
language:en
Short-container-title:IDR

Author:

Ding Wenhao,Li Yanyan,Bai Yichun^ORCID,Li Yuhong,Wang Lei,Wang Yongbin

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Infectious Diseases,Pharmacology

Reference43 articles.

Epidemic Trends of Tuberculosis in China from 1990 to 2017: Evidence from the Global Burden of Disease Study

2. World Health Organization. Global tuberculosis report 2020. Available from:https://apps.who.int/iris/handle/10665/336069. Accessed 17 October 2021.

An Advanced Data-Driven Hybrid Model of SARIMA-NNNAR for Tuberculosis Incidence Time Series Forecasting in Qinghai Province, China

4. Association of Public Health Interventions With the Epidemiology of the COVID-19 Outbreak in Wuhan, China

5. Reconstruction of the full transmission dynamics of COVID-19 in Wuhan

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting the epidemiological trend of acute hemorrhagic conjunctivitis in China using Bayesian structural time-series model;Scientific Reports;2024-07-29

2. The global impact of COVID-19 on tuberculosis: A thematic scoping review, 2020–2023;PLOS Global Public Health;2024-07-03

3. Regional differences of Mycobacterium tuberculosis complex infection and multidrug resistance epidemic in Luoyang;BMC Infectious Diseases;2024-06-11

4. Trends in the detection of viruses causing gastroenteritis over a 10-year period and impact of nonpharmaceutical interventions;Journal of Clinical Virology;2024-06

5. Evaluation of the impact of COVID-19 on hepatitis B in Henan Province and its epidemic trend based on Bayesian structured time series model;2024-03-25