Book
Identifiability and Observability in Epidemiological Models
ISBN : 9789819725380
Author : Nik Cunniffe
Publisher : Springer
Year : 2024
Language : English
Type : Book
Description : 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.This book contributes to Sustainable Development Goal 3 (SDG3): Good Health and Well Being.
RECOMMENDED BOOKS
Globalization in World History
Peter N. Stearns
Artificial Intelligence Applications and Reconfigurable Architectures
Anuradha Thakare
Role of Medicinal Plants in Autoimmune Diseases : Concepts, Perspectives, and Utilization
Reetika Mahajan PhD
AI Computing Systems
Yunji Chen
Handbook of Critical Education Research
Michelle D. Young
Zaccagnini & White's Core Competencies for Advanced Practice Nursing : A Guide for DNP
Diane Schadewald
Vaccines as Technology: Innovation, Barriers, and the Public Health
Ana Santos Rutschman
Hybrid Excited Synchronous Machines: Topologies, Design and Analysis
Yacine Amara