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Infection and Drug Resistance Volume 13, 2020 - Issue
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Original Research

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

Yongbin Wang1 Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan, People’s Republic of China
,
Chunjie Xu2 Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing, People’s Republic of China
,
Yuchun Li1 Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan, People’s Republic of China
,
Weidong Wu1 Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-7334-8679
ORCID Icon,
Lihui Gui1 Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan, People’s Republic of China
,
Jingchao Ren1 Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan, People’s Republic of China
&
Sanqiao Yao1 Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan, People’s Republic of ChinaCorrespondence[email protected] [email protected]
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Pages 867-880 | Published online: 24 Mar 2020

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