| 书目名称 | Identifiability and Observability in Epidemiological Models |
| 副标题 | A Primer |
| 编辑 | Nik Cunniffe,Frédéric Hamelin,Gauthier Sallet |
| 视频video | |
| 概述 | demonstrates how the concepts of observation and identification apply on epidemiological models.balances between rigorous mathematical developments and practical considerations on concrete examples.pr |
| 丛书名称 | SpringerBriefs on PDEs and Data Science |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2024 |
| 关键词 | Epidemiology; Observation; Identification; Estimation; Observers; Sustainable Development Goal 3; Good Hea |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-97-2539-7 |
| isbn_softcover | 978-981-97-2538-0 |
| isbn_ebook | 978-981-97-2539-7Series ISSN 2731-7595 Series E-ISSN 2731-7609 |
| issn_series | 2731-7595 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
发表于 2025-3-21 18:23:30
