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001445636 019__ $$a1309024150$$a1309025528$$a1324245381$$a1347040441
001445636 020__ $$a9783030971786$$q(electronic bk.)
001445636 020__ $$a3030971783$$q(electronic bk.)
001445636 020__ $$z3030971775
001445636 020__ $$z9783030971779
001445636 0247_ $$a10.1007/978-3-030-97178-6$$2doi
001445636 035__ $$aSP(OCoLC)1308794037
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001445636 049__ $$aISEA
001445636 050_4 $$aRA644.C67
001445636 08204 $$a614.5/92414$$223
001445636 1001_ $$aFrank, Till Daniel.
001445636 24510 $$aCOVID-19 epidemiology and virus dynamics:$$bnonlinear physics and mathematical modeling /$$cTill D. Frank.
001445636 260__ $$aCham, Switzerland :$$bSpringer,$$c2022.
001445636 300__ $$a1 online resource
001445636 336__ $$atext$$btxt$$2rdacontent
001445636 337__ $$acomputer$$bc$$2rdamedia
001445636 338__ $$aonline resource$$bcr$$2rdacarrier
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001445636 4901_ $$aUnderstanding Complex Systems,$$x1860-0840
001445636 4901_ $$aSpringer complexity
001445636 504__ $$aIncludes bibliographical references and index.
001445636 5050_ $$aChapter 1. Introduction -- Chapter 2. Nonlinear physics and synergetics -- Chapter 3. Epidemiological models and COVID-19 epidemics -- Chapter 4. Nonlinear physics of epidemics: part A -- Chapter 5. Nonlinear physics of epidemics: part B -- Chapter 6. Nonlinear physics of epidemics: part C -- Chapter 7. Model-based reproduction numbers -- Chapter 8. Modeling interventions -- Chapter 9. Models of virus dynamics -- Chapter 10. Virus dynamics in humans: unstable directions and order parameters.
001445636 506__ $$aAccess limited to authorized users.
001445636 520__ $$aThis book addresses the COVID-19 pandemic from a quantitative perspective based on mathematical models and methods largely used in nonlinear physics. It aims to study COVID-19 epidemics in countries and SARS-CoV-2 infections in individuals from the nonlinear physics perspective and to model explicitly COVID-19 data observed in countries and virus load data observed in COVID-19 patients. The first part of this book provides a short technical introduction into amplitude spaces given by eigenvalues, eigenvectors, and amplitudes.In the second part of the book, mathematical models of epidemiology are introduced such as the SIR and SEIR models and applied to describe COVID-19 epidemics in various countries around the world. In the third part of the book, virus dynamics models are considered and applied to infections in COVID-19 patients. This book is written for researchers, modellers, and graduate students in physics and medicine, epidemiology and virology, biology, applied mathematics, and computer sciences. This book identifies the relevant mechanisms behind past COVID-19 outbreaks and in doing so can help efforts to stop future COVID-19 outbreaks and other epidemic outbreaks. Likewise, this book points out the physics underlying SARS-CoV-2 infections in patients and in doing so supports a physics perspective to address human immune reactions to SARS-CoV-2 infections and similar virus infections.
001445636 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 5, 2022).
001445636 647_7 $$aCOVID-19 Pandemic$$d(2020-)$$2fast$$0(OCoLC)fst02024716
001445636 650_0 $$aCOVID-19 (Disease)$$xMathematical models.
001445636 650_0 $$aCOVID-19 Pandemic, 2020-$$xMathematical models.
001445636 650_6 $$aCOVID-19$$xModèles mathématiques.
001445636 650_6 $$aPandémie de COVID-19, 2020-$$xModèles mathématiques.
001445636 655_0 $$aElectronic books.
001445636 77608 $$iPrint version:$$z3030971775$$z9783030971779$$w(OCoLC)1294136533
001445636 830_0 $$aUnderstanding complex systems,$$x1860-0840
001445636 830_0 $$aSpringer complexity.
001445636 852__ $$bebk
001445636 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-97178-6$$zOnline Access$$91397441.1
001445636 909CO $$ooai:library.usi.edu:1445636$$pGLOBAL_SET
001445636 980__ $$aBIB
001445636 980__ $$aEBOOK
001445636 982__ $$aEbook
001445636 983__ $$aOnline
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