Nesting the SIRV model with NAR, LSTM and statistical methods to fit and predict COVID-19 epidemic trend in Africa

Nesting the SIRV model with NAR, LSTM and statistical methods to fit and predict COVID-19 epidemic trend in Africa

Abstract Objective Compared with other regions in the world, the transmission characteristics of the COVID-19 epidemic in Africa are more obvious, has a unique transmission mode in this region; At the same time, the data related to the COVID-19 epidemic in Africa is characterized by low data quality...

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Bibliographic Details
Main Authors: Xu-Dong Liu, Wei Wang, Yi Yang, Bo-Han Hou, Toba Stephen Olasehinde, Ning Feng, Xiao-Ping Dong
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Public Health
Subjects:
COVID-19
Nested model
Functionalized β
Machine learning
ARIMA
SIRV model
Online Access:https://doi.org/10.1186/s12889-023-14992-6

Internet

https://doi.org/10.1186/s12889-023-14992-6

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