Literature DB >> 32842277

[Principles of dynamics model and its application in forecasting the epidemics and evaluation the efforts of prevention and control interventions].

Y Y Wei1, Y Zhao1, F Chen1, H B Shen1.   

Abstract

During the epidemics of COVID-19 in domestic China and recently continuing rapid spread worldwide, a bunch of studies fitted the epidemics by transmission dynamics model to nowcast and forecast the trend of epidemics of COVID-19. However, due to little known of the new virus in early stage and much uncertainty in the comprehensive strategies of prevention and control for epidemics, majority of models, not surprisingly, predict in less accuracy, although the dynamics model has its great value in better understanding of transmission. This comment discusses the principle assumptions and limitations of the dynamics model in forecasting the epidemic trend, as well as its great potential role in evaluating the efforts of prevention and control strategies.

Entities:  

Keywords:  COVID-19; Epidemics; Evaluation; Forecasting; Transmission dynamics model

Mesh:

Year:  2020        PMID: 32842277     DOI: 10.3760/cma.j.cn112150-20200315-00340

Source DB:  PubMed          Journal:  Zhonghua Yu Fang Yi Xue Za Zhi        ISSN: 0253-9624


  3 in total

Review 1.  Transmission dynamics model and the coronavirus disease 2019 epidemic: applications and challenges.

Authors:  Jinxing Guan; Yang Zhao; Yongyue Wei; Sipeng Shen; Dongfang You; Ruyang Zhang; Theis Lange; Feng Chen
Journal:  Med Rev (Berl)       Date:  2022-02-28

2.  Forecasting of COVID-19: transmission models and beyond.

Authors:  Yang Zhao; Yongyue Wei; Feng Chen
Journal:  J Thorac Dis       Date:  2020-05       Impact factor: 3.005

Review 3.  Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China.

Authors:  Jiancheng Dong; Huiqun Wu; Dong Zhou; Kaixiang Li; Yuanpeng Zhang; Hanzhen Ji; Zhuang Tong; Shuai Lou; Zhangsuo Liu
Journal:  J Med Syst       Date:  2021-07-24       Impact factor: 4.460

  3 in total

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