Review on the study of spreading of the COVID-19 based on dynamic models / 中华医学科研管理杂志
Chinese Journal of Medical Science Research Management
;
(4): E014-E014, 2020.
Artículo
en Chino
| WPRIM
| ID: wpr-872103
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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Tipo de estudio:
Estudio pronóstico
/
Factores de riesgo
Idioma:
Chino
Revista:
Chinese Journal of Medical Science Research Management
Año:
2020
Tipo del documento:
Artículo
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