Identifiability and Observability in Epidemiological Models - Archive ouverte HAL Accéder directement au contenu
Ouvrages Année : 2024

Identifiability and Observability in Epidemiological Models

Résumé

This book introduces the concepts of identifiability and observability in mathematical epidemiology, as well as those of observers’ constructions. It first exposes and illustrates on several examples the mathematical definitions and properties of observability and identifiability. A chapter is dedicated to the well-known Kermack McKendrick model, for which the complete analysis of identifiability and observability is not available in the literature. Then, several techniques of observer constructions, in view of online estimation of state and parameters, are presented and deployed on several models. New developments relevant for applications in epidemiology are also given. Finally, practical considerations are discussed with data and numerical simulations related to models previously analysed in the book. The book will be appealing to epidemiological modellers and mathematicians working on models in epidemiology.
Fichier non déposé

Dates et versions

hal-04548809 , version 1 (16-04-2024)

Licence

Copyright (Tous droits réservés)

Identifiants

  • HAL Id : hal-04548809 , version 1

Citer

Nik Cunniffe, Frédéric M. Hamelin, Abderrahman Iggidr, Alain Rapaport, Gauthier Sallet. Identifiability and Observability in Epidemiological Models: A Primer. Springer Nature, 2024, SpringerBriefs on PDEs and Data Science, Enrique Zuazua, 978-981-97-2538-0. ⟨hal-04548809⟩
35 Consultations
0 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More