Structural and Practical Identifiability of Phenomenological Growth Models for Epidemic Forecasting

Phenomenological models are highly effective tools for forecasting disease dynamics using real-world data, particularly in scenarios where detailed knowledge of disease mechanisms is limited. However, their reliability depends on the model parameters’ structural and practical identifiability. In thi...

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Bibliographic Details

Published in:	Viruses
Main Authors:	Yuganthi R. Liyanage, Gerardo Chowell, Gleb Pogudin, Necibe Tuncer
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Subjects:	phenomenological growth models epidemic forecasting structural identifiability practical identifiability
Online Access:	https://www.mdpi.com/1999-4915/17/4/496