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[Principles of dynamics model and its application in forecasting the epidemics and evaluation the efforts of prevention and control interventions].
Wei, Y Y; Zhao, Y; Chen, F; Shen, H B.
  • Wei YY; School of Public Health/Center for Global Health, Nanjing Medical University, Nanjing 211166, China.
  • Zhao Y; School of Public Health/Center for Global Health, Nanjing Medical University, Nanjing 211166, China.
  • Chen F; School of Public Health/Center for Global Health, Nanjing Medical University, Nanjing 211166, China.
  • Shen HB; School of Public Health/Center for Global Health, Nanjing Medical University, Nanjing 211166, China.
Zhonghua Yu Fang Yi Xue Za Zhi ; 54(6): 602-607, 2020 Jun 06.
Article in Chinese | MEDLINE | ID: covidwho-731281
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / Models, Biological Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: Chinese Journal: Zhonghua Yu Fang Yi Xue Za Zhi Year: 2020 Document Type: Article Affiliation country: Cma.j.cn112150-20200315-00340

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / Models, Biological Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: Chinese Journal: Zhonghua Yu Fang Yi Xue Za Zhi Year: 2020 Document Type: Article Affiliation country: Cma.j.cn112150-20200315-00340