| 000 | 03820nam a22006135i 4500 | ||
|---|---|---|---|
| 001 | 978-981-97-2539-7 | ||
| 003 | DE-He213 | ||
| 005 | 20251030112612.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240703s2024 si | s |||| 0|eng d | ||
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_a9789819725397 _9978-981-97-2539-7 |
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| 024 | 7 |
_a10.1007/978-981-97-2539-7 _2doi |
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| 050 | 4 | _aT57-57.97 | |
| 072 | 7 |
_aPBW _2bicssc |
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_aMAT003000 _2bisacsh |
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_aPBW _2thema |
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| 100 | 1 |
_aCunniffe, Nik. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979985 |
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| 245 | 1 | 0 |
_aIdentifiability and Observability in Epidemiological Models _h[electronic resource] : _bA Primer / _cby Nik Cunniffe, Frédéric Hamelin, Abderrahman Iggidr, Alain Rapaport, Gauthier Sallet. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024. |
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| 300 |
_aXII, 108 p. 15 illus., 1 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringerBriefs on PDEs and Data Science, _x2731-7609 |
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| 505 | 0 | _aChapter 1 Introduction -- Chapter 2 Mathematical foundations -- Chapter 3 Analysis of the Kermack -- Chapter 4 McKendrick model -- Chapter 5 Observers synthesis -- Chapter 6 Practical and numerical considerations -- Chapter 7 Appendix -- Chapter 8 References. | |
| 520 | _aThis 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. | ||
| 650 | 0 |
_aMathematics. _965523 |
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| 650 | 0 |
_aSystem theory. _966519 |
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| 650 | 0 |
_aControl theory. _968675 |
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| 650 | 0 |
_aEpidemiology. _965983 |
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| 650 | 0 |
_aBiomathematics. _970325 |
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| 650 | 1 | 4 |
_aApplications of Mathematics. _965529 |
| 650 | 2 | 4 |
_aSystems Theory, Control. _968676 |
| 650 | 2 | 4 |
_aEpidemiology. _965983 |
| 650 | 2 | 4 |
_aMathematical and Computational Biology. _970327 |
| 700 | 1 |
_aHamelin, Frédéric. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979986 |
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| 700 | 1 |
_aIggidr, Abderrahman. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979987 |
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| 700 | 1 |
_aRapaport, Alain. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979988 |
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| 700 | 1 |
_aSallet, Gauthier. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979989 |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789819725380 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789819725403 |
| 830 | 0 |
_aSpringerBriefs on PDEs and Data Science, _x2731-7609 _971592 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-97-2539-7 |
| 912 | _aZDB-2-SMA | ||
| 912 | _aZDB-2-SXMS | ||
| 999 |
_c61319 _d61319 |
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