A hybrid mechanistic–machine learning model for SARS-CoV-2: stability, sensitivity, and forecasting insights based on UK data

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Authors: Shimli Dutta, Parvez Akhtar, Guruprasad Samanta
Cited by: 4
References: 33

Fields of Study & Subjects

COVID-19 epidemiological studies Mathematical and Theoretical Epidemiology and Ecology Models SARS-CoV-2 and COVID-19 Research

Publication details

Journal / source
Nonlinear Dynamics
Publisher
Springer Science and Business Media LLC
Volume
114
Issue
8
Publication date
1 April 2026
Language
EN