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Identifiability and Observability in Epidemiological Models: A Primer by Nik Cun

Description: Identifiability and Observability in Epidemiological Models by Nik Cunniffe, Frédéric Hamelin, Abderrahman Iggidr, Alain Rapaport, Gauthier Sallet Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book introduces the concepts of identifiability and observability in mathematical epidemiology, as well as those of observers constructions. Publisher 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. Author Biography Nik Cunniffe is the head of Theoretical and Computational Epidemiology Group, Department of Plant Sciences, University of Cambridge (UK). His research focuses on modelling the spread, detection, evolution and control of plant pests and pathogens. His theoretical work uses deterministic, stochastic and spatial models to improve strategic understanding, while his applied work concentrates on using models to understand how detection and control can be optimized.Frédéric Hamelin is Associate Professor in Quantitative Plant Disease Epidemiology at LInstitut Agro, Rennes, France. He is a member of the DEMECOLOGY (Dynamics, Evolution, Modelling, Ecology) Research Group of the Institute of Genetics, Environment and Plant Protection (IGEPP). His work is at the interface between mathematical ecology and plant disease epidemiology.Abderrahman Iggidr is a full-time INRIA researcher at IECL (Institut Elie Cartan de Lorraine), France. His research interests include the control theory (stabilization of nonlinear systems, observability, and construction of observers), the mathematical epidemiology (modelling and model validation using data, qualitative and quantitative properties of epidemics models, design of software sensors for biological systems, dynamical estimation of unmeasured state variables and unknown parameters, etc.), and the modelling and control of renewable resources.Alain Rapaport is a senior INRAE researcher at MISTEA (Mathematics, Informatics and Statistics for Environmental and Agronomics) Research Lab, Montpellier, France. His research interests include the modelling, control and optimization for microbial ecology; the management of renewable natural resources; and the theory of control and observation of dynamical systems and optimal control.Gauthier Sallet is Emeritus Professor at IECL (Institut Elie Cartan de Lorraine), France. His main research activity is about the application of control theory to epidemiological models. He has been the team leader of the MASAIE (Tools and models of nonlinear control theory for epidemiology and immunology) INRIA Research Group from 2008 to 2014. Details ISBN 9819725380 ISBN-13 9789819725380 Title Identifiability and Observability in Epidemiological Models Author Nik Cunniffe, Frédéric Hamelin, Abderrahman Iggidr, Alain Rapaport, Gauthier Sallet Format Paperback Year 2024 Pages 108 Edition 2024th Publisher Springer Verlag, Singapore GE_Item_ID:160768549; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. 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Identifiability and Observability in Epidemiological Models: A Primer by Nik Cun

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ISBN-13: 9789819725380

Book Title: Identifiability and Observability in Epidemiological Models

Number of Pages: Xii, 108 Pages

Publication Name: Identifiability and Observability in Epidemiological Models : a Primer

Language: English

Publisher: Springer

Publication Year: 2024

Subject: Public Health, System Theory, Applied, Epidemiology

Type: Textbook

Item Length: 9.3 in

Author: Alain Rapaport, Gauthier Sallet, Nik Cunniffe, Abderrahman Iggidr, Édéric Hamelin

Subject Area: Mathematics, Science, Medical

Series: Springerbriefs on Pdes and Data Science Ser.

Item Width: 6.1 in

Format: Trade Paperback

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