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

Author:

Wang Yongbin,Xu Chunjie,Li Yuchun,Wu WeidongORCID,Gui Lihui,Ren Jingchao,Yao Sanqiao

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Infectious Diseases,Pharmacology

Reference36 articles.

1. WHO. Global tuberculosis report 2018. Available from: https://wwwwhoint/tb/publications/global_report/en/. Accessed September 18, 2019.

2. WHO. Global strategy and targets for tuberculosis prevention, care and control after 2015. Available from: https://wwwwhoint/tb/post2015_strategy/en/. Accessed September 18, 2019.

3. WHO. The end TB strategy. 2014. Available from: https://wwwwhoint/tb/End_TB_brochurepdf. Accessed September 18, 2019.

4. Using the Kulldorff’s scan statistical analysis to detect spatio-temporal clusters of tuberculosis in Qinghai Province, China, 2009–2016

5. National Health Commission of the People’s Republic of China. National data of notifiable communicable disease in 2018. 2019. Available from: http://wwwnhcgovcn/jkj/s3578/201904/050427ff32704a5db64f4ae1f6d57c6cshtml. Accessed March 09, 2020.

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