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

Secular Seasonality and Trend Forecasting of Tuberculosis Incidence Rate in China Using the Advanced Error-Trend-Seasonal Framework

Yongbin Wang1 Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan, People’s Republic of ChinaCorrespondence[email protected]
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Chunjie Xu2 Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing, People’s Republic of China
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Jingchao Ren1 Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan, People’s Republic of China
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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,
Xiangmei Zhao1 Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan, People’s Republic of China
,
Ling Chao1 Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan, People’s Republic of China
,
Wenjuan Liang1 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 China
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Pages 733-747 | Published online: 05 Mar 2020

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Wenhao Ding, Yanyan Li, Yichun Bai, Yuhong Li, Lei Wang & Yongbin Wang. (2021) Estimating the Effects of the COVID-19 Outbreak on the Reductions in Tuberculosis Cases and the Epidemiological Trends in China: A Causal Impact Analysis. Infection and Drug Resistance 14, pages 4641-4655.
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Yuhan Xiao, Yanyan Li, Yuhong Li, Chongchong Yu, Yichun Bai, Lei Wang & Yongbin Wang. (2021) Estimating the Long-Term Epidemiological Trends and Seasonality of Hemorrhagic Fever with Renal Syndrome in China. Infection and Drug Resistance 14, pages 3849-3862.
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Chongchong Yu, Chunjie Xu, Yuhong Li, Sanqiao Yao, Yichun Bai, Jizhen Li, Lei Wang, Weidong Wu & Yongbin Wang. (2021) Time Series Analysis and Forecasting of the Hand-Foot-Mouth Disease Morbidity in China Using An Advanced Exponential Smoothing State Space TBATS Model. Infection and Drug Resistance 14, pages 2809-2821.
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Jizhen Li, Yuhong Li, Ming Ye, Sanqiao Yao, Chongchong Yu, Lei Wang, Weidong Wu & Yongbin Wang. (2021) Forecasting the Tuberculosis Incidence Using a Novel Ensemble Empirical Mode Decomposition-Based Data-Driven Hybrid Model in Tibet, China. Infection and Drug Resistance 14, pages 1941-1955.
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Yongbin Wang, Chunjie Xu, Sanqiao Yao, Yingzheng Zhao, Yuchun Li, Lei Wang & Xiangmei Zhao. (2020) Estimating the Prevalence and Mortality of Coronavirus Disease 2019 (COVID-19) in the USA, the UK, Russia, and India. Infection and Drug Resistance 13, pages 3335-3350.
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Veerasak Punyapornwithaya, Katechan Jampachaisri, Kunnanut Klaharn & Chalutwan Sansamur. (2021) Forecasting of Milk Production in Northern Thailand Using Seasonal Autoregressive Integrated Moving Average, Error Trend Seasonality, and Hybrid Models. Frontiers in Veterinary Science 8.
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Yongbin Wang, Chunjie Xu, Sanqiao Yao, Lei Wang, Yingzheng Zhao, Jingchao Ren & Yuchun Li. (2021) Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition. Scientific Reports 11:1.
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Min Li, Qunwei Wang, Yinzhong Shen & TongYu Zhu. (2021) Customer relationship management analysis of outpatients in a Chinese infectious disease hospital using drug-proportion recency-frequency-monetary model. International Journal of Medical Informatics 147, pages 104373.
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Yongbin Wang, Chunjie Xu, Sanqiao Yao & Yingzheng Zhao. (2020) Forecasting the epidemiological trends of COVID-19 prevalence and mortality using the advanced α -Sutte Indicator . Epidemiology and Infection 148.
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