Analysis of models of infectious disease dynamics of COVID-19 / 公共卫生与预防医学
Journal of Public Health and Preventive Medicine
;
(6): 10-13, 2020.
Article
Dans Chinois
| WPRIM
| ID: wpr-823121
ABSTRACT
Objectives To analyze the studies about predicting COVID-19 by math models, to provide evidences and experiences to reduce the hazard of COVID-19. Methods PubMed, CNKI and other databases were searched for studies involving math models of COVID-19, and the studies were compared with each other and the real data. Results A total of 21 publications were included. SIR, SEIR and other models were used to predict the prevalence and evaluate the interventions. The results were predicted by SEIR+CAQ model were the closest to the actual situation. And the control measures have effectively restrained COVID-19. Conclusion Characteristics of COVID-19 and prevention measures should be concerned, when predicting the epidemic trend of COVID-19.
Recherche sur Google
Indice:
WPRIM (Pacifique occidental)
Type d'étude:
Étude pronostique
langue:
Chinois
Texte intégral:
Journal of Public Health and Preventive Medicine
Année:
2020
Type:
Article
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