Predicting the trend of infectious diseases using grey self-memory system model: a case study of the incidence of tuberculosis.

Guo, Xiaojun; Shen, Houxue; Liu, Sifeng; Xie, Naiming; Yang, Yingjie; Jin, Jingliang

Guo, Xiaojun; Shen, Houxue; Liu, Sifeng; Xie, Naiming; Yang, Yingjie; Jin, Jingliang.

Affiliation

Guo X; College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China; School of Science, Nantong University, Nantong 226019, China. Electronic address: guoxj159@163.com.
Shen H; School of Science, Nantong University, Nantong 226019, China.
Liu S; College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Xie N; College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Yang Y; Institute of Artificial Intelligence, De Montfort University, Leicester LE1 9BH, UK.
Jin J; College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China; School of Science, Nantong University, Nantong 226019, China. Electronic address: chinajjl@ntu.edu.cn.

Public Health ; 201: 108-114, 2021 Dec.

Article in En | MEDLINE | ID: mdl-34823142

Subject(s)

Communicable Diseases; Tuberculosis; Algorithms; China/epidemiology; Forecasting; Humans; Incidence; Models, Statistical; Tuberculosis/epidemiology

Key words

Grey prediction theory; Grey self-memory system model; Incidence prediction; Infectious diseases

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tuberculosis / Communicable Diseases Type of study: Incidence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Public Health Year: 2021 Document type: Article Country of publication: Netherlands

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