Review on the study of spreading of the COVID-19 based on dynamic models
10.3760/cma.j.cn113565-20200214-00007
- VernacularTitle: 新型冠状病毒肺炎(COVID-19)传染病传播动力学模型的综述
- Author:
Yunjun ZHANG
1
;
Yuan ZHANG
2
;
Chong YOU
3
;
Xiaohua ZHOU
4
Author Information
1. Department of Biostatistics, School of Public Health, Peking University, Beijing 100191, China
2. School of Mathematical Sciences, Peking University, Beijing 100871, China
3. Beijing International Center for Mathematical Research, Peking University, Beijing 100871, China
4. Department of Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Beijing International Center for Mathematical Research, Peking University, Beijing 100871, China; Center for Statistical Science, Peking University, Beijing 100871, China
- Publication Type:Journal Article
- Keywords:
COVID-19;
Epidemiology;
Mathematical model;
Statistical model;
Analysis and decision-making
- From:
Chinese Journal of Medical Science Research Management
2020;33(0):E014-E014
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To Summarize mathematical and statistical models used in the area of infectious diseases modelling, to provide ideas and suggestions for the model-based analysis and decision-making of COVID-19.
Methods:By reviewing the commonly used mathematical and statistical models in the analysis of infectious diseases, with a focus on the mathematical models of the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) that have been published and their practical effects.
Results:Infectious diseases modelling based on multi-source information has become the main research trend, and the published mathematical models of COVID-19 epidemic need to be improved in terms of accuracy and scalability.
Conclusions:It is recommended to build a more advanced mathematical/statistical model by allowing for the characteristics of new coronaviruses and to use more informative data to improve the analysis and decision-making of the new epidemic.
