Analysis of infectious disease transmission and prediction through SEIQR epidemic model

Analysis of infectious disease transmission and prediction through SEIQR epidemic model

In literature, various mathematical models have been developed to have a better insight into the transmission dynamics and control the spread of infectious diseases. Aiming to explore more about various aspects of infectious diseases, in this work, we propose conceptual mathematical model through a...

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Bibliographic Details
Main Authors: Tyagi Swati, Gupta Shaifu, Abbas Syed, Das Krishna Pada, Riadh Baazaoui
Format: Article
Language:English
Published: De Gruyter 2021-04-01
Series:Nonautonomous Dynamical Systems
Subjects:
infectious disease
mathematical model
stability analysis
long short term memory networks (lstm)
parameter estimation
00a71
92b20
34d20
Online Access:https://doi.org/10.1515/msds-2020-0126

Internet

https://doi.org/10.1515/msds-2020-0126

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