Research on the spread trend of COVID-19 based on SEIR-C model
6th International Conference on Big Data and Internet of Things, BDIOT 2022
; : 33-38, 2022.
Article
in English
| Scopus | ID: covidwho-2088938
ABSTRACT
The latent and insidious nature of COVID-19 transmission poses a great challenge to epidemic prevention and control. In order to predict its transmission trend more accurately, optimal epidemic prevention and control strategies and measures can be formulated. In this paper, we propose a SEIR-C epidemic transmission trend prediction model, which improves the traditional SEIR infectious disease model and combines it with the GRU model, and experiments show that the model has better results in epidemic transmission prediction. The paper also analyses the situation of isolation measures and vaccines in epidemic prevention and control, providing some reference for the formulation of epidemic prevention and control policies. © 2022 ACM.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
6th International Conference on Big Data and Internet of Things, BDIOT 2022
Year:
2022
Document Type:
Article
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