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Link de la búsquedaSelected Topics in Cancer Modeling / SpringerLink (Online service) ; Elena Angelis ; Mark A. J. Chaplain ; Nicola Bellomo (2008)
Título : Selected Topics in Cancer Modeling : Genesis, Evolution, Immune Competition, and Therapy Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Elena Angelis ; Mark A. J. Chaplain ; Nicola Bellomo Editorial: Boston : Birkhäuser Boston Fecha de publicación: 2008 Colección: Modeling and Simulation in Science, Engineering and Technology Número de páginas: XVI, 473 p. 140 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4713-1 Idioma : Inglés (eng) Palabras clave: Mathematics Health informatics Oncology Applied mathematics Engineering Mathematical models Biomathematics Modeling and Industrial Informatics Computational Biology Physiological, Cellular Medical Topics Applications of Clasificación: 51 Matemáticas Resumen: A major challenge in the modeling and simulation of tumor growth is the mathematical description of living matter, which is far more complex than a mathematical description of inert matter. One critical piece of this challenge is creating multiscale models that take into account subcellular, cellular, and macroscopic levels of cancer. The complexity of these different levels requires the development of new mathematical methods and ideas, which are examined in this work. Written by first-rate researchers in the field of mathematical biology, this collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzing cancer phenomena. Topics covered include: * Genetic and epigenetic pathways to colon cancer * A game theoretical perspective on the somatic evolution of cancer * Nonlinear modeling and simulation of tumor growth * Tumor cords and their response to anticancer agents * Modeling diffusely invading brain tumors * Multiphase models of tumor growth * Mathematical modeling of breast carcinogenesis * Predictive models in tumor immunology * Multiscale modeling of solid tumor growth Selected Topics in Cancer Modeling is an excellent reference for researchers, practitioners, and graduate students in applied mathematics, mathematical biology, and related fields. The book has an overall aim of quantitative, predictive mathematical modeling of solid tumor growth at all scales, from genetics all the way through to treatment therapy for patients Nota de contenido: Genetic and Epigenetic Pathways to Colon Cancer Relating Experimental Evidence with Modeling -- From Kinetic Theory for Active Particles to Modelling Immune Competition -- Towards Microscopic and Nonlocal Models of Tumour Invasion of Tissue -- Nonlinear Renewal Equations -- A Game Theoretical Perspective on the Somatic Evolution of cancer -- Nonlinear Modeling and Simulation of Tumor Growth -- Tumour Cords and Their Response to Anticancer Agents -- Modeling Diffusely Invading Brain Tumors An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy -- Multiphase Models of Tumour Growth -- The Lymphatic Vascular System in Lymphangiogenesis Invasion and Metastasis A Mathematical Approach -- M for Invasion Morphology Mutation and the Microenvironment -- Methods of Stochastic Geometry and Related Statistical Problems in the Analysis and Therapy of Tumour Growth and Tumour Driven Angiogenesis -- Mathematical Modelling of Breast Carcinogenesis, Treatment with Surgery and Radiotherapy and Local Recurrence -- Predictive Models in Tumor Immunology -- Dynamically Adaptive Tumour Induced Angiogenesis The Impact of Flow on the Developing Capillary Plexus -- Dynamic Irregular Patterns and Invasive Wavefronts The Control of Tumour Growth by Cytotoxic T Lymphocytes -- Multiscale Modelling of Solid Tumour Growth En línea: http://dx.doi.org/10.1007/978-0-8176-4713-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34280 Selected Topics in Cancer Modeling : Genesis, Evolution, Immune Competition, and Therapy [documento electrónico] / SpringerLink (Online service) ; Elena Angelis ; Mark A. J. Chaplain ; Nicola Bellomo . - Boston : Birkhäuser Boston, 2008 . - XVI, 473 p. 140 illus : online resource. - (Modeling and Simulation in Science, Engineering and Technology) .
ISBN : 978-0-8176-4713-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Health informatics Oncology Applied mathematics Engineering Mathematical models Biomathematics Modeling and Industrial Informatics Computational Biology Physiological, Cellular Medical Topics Applications of Clasificación: 51 Matemáticas Resumen: A major challenge in the modeling and simulation of tumor growth is the mathematical description of living matter, which is far more complex than a mathematical description of inert matter. One critical piece of this challenge is creating multiscale models that take into account subcellular, cellular, and macroscopic levels of cancer. The complexity of these different levels requires the development of new mathematical methods and ideas, which are examined in this work. Written by first-rate researchers in the field of mathematical biology, this collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzing cancer phenomena. Topics covered include: * Genetic and epigenetic pathways to colon cancer * A game theoretical perspective on the somatic evolution of cancer * Nonlinear modeling and simulation of tumor growth * Tumor cords and their response to anticancer agents * Modeling diffusely invading brain tumors * Multiphase models of tumor growth * Mathematical modeling of breast carcinogenesis * Predictive models in tumor immunology * Multiscale modeling of solid tumor growth Selected Topics in Cancer Modeling is an excellent reference for researchers, practitioners, and graduate students in applied mathematics, mathematical biology, and related fields. The book has an overall aim of quantitative, predictive mathematical modeling of solid tumor growth at all scales, from genetics all the way through to treatment therapy for patients Nota de contenido: Genetic and Epigenetic Pathways to Colon Cancer Relating Experimental Evidence with Modeling -- From Kinetic Theory for Active Particles to Modelling Immune Competition -- Towards Microscopic and Nonlocal Models of Tumour Invasion of Tissue -- Nonlinear Renewal Equations -- A Game Theoretical Perspective on the Somatic Evolution of cancer -- Nonlinear Modeling and Simulation of Tumor Growth -- Tumour Cords and Their Response to Anticancer Agents -- Modeling Diffusely Invading Brain Tumors An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy -- Multiphase Models of Tumour Growth -- The Lymphatic Vascular System in Lymphangiogenesis Invasion and Metastasis A Mathematical Approach -- M for Invasion Morphology Mutation and the Microenvironment -- Methods of Stochastic Geometry and Related Statistical Problems in the Analysis and Therapy of Tumour Growth and Tumour Driven Angiogenesis -- Mathematical Modelling of Breast Carcinogenesis, Treatment with Surgery and Radiotherapy and Local Recurrence -- Predictive Models in Tumor Immunology -- Dynamically Adaptive Tumour Induced Angiogenesis The Impact of Flow on the Developing Capillary Plexus -- Dynamic Irregular Patterns and Invasive Wavefronts The Control of Tumour Growth by Cytotoxic T Lymphocytes -- Multiscale Modelling of Solid Tumour Growth En línea: http://dx.doi.org/10.1007/978-0-8176-4713-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34280 Ejemplares
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Título : Cardiovascular Mathematics : Modeling and simulation of the circulatory system Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Luca Formaggia ; Quarteroni, Alfio ; Alessandro Veneziani Editorial: Milano : Springer Milan Fecha de publicación: 2009 Colección: MS&A, ISSN 2037-5255 num. 1 Número de páginas: XIII, 522 p Il.: online resource ISBN/ISSN/DL: 978-88-470-1152-6 Idioma : Inglés (eng) Palabras clave: Mathematics Cardiology Partial differential equations Applied mathematics Engineering Mathematical models Biomathematics Applications of and Computational Biology Physiological, Cellular Medical Topics Modeling Industrial Differential Equations Clasificación: 51 Matemáticas Resumen: Cardiovascular diseases have a major impact in Western countries. Mathematical models and numerical simulations can help the understanding of physiological and pathological processes, complementing the information provided to medical doctors by medical imaging and other non-invasive means, and opening the possibility of a better diagnosis and more in-depth surgical planning.This book offers a mathematically sound and up-to-date foundation to the training of researchers, and serves as a useful reference for the development of mathematical models and numerical simulation codes. It is structured into different chapters, written by recognized experts in the field, and however it features a common thread, with consistency of notation and expressions and systematic cross-referencing. Many fundamental issues are faced, such as: the mathematical representation of vascular geometries extracted from medical images, modelling blood rheology and the complex multilayer structure of the vascular tissue, and its possible pathologies, the mechanical and chemical interaction between blood and vascular walls; the different scales coupling local and systemic dynamics. All of these topics introduce challenging mathematical and numerical problems, demanding for advanced analysis and simulation techniques. This book is addressed to graduate students and researchers in the field of bioengineering, applied mathematics and medicine, wishing to engage themselves in the fascinating task of modeling how the cardiovascular system works Nota de contenido: Physiology and pathology of the cardiovascular system: A physical perspective -- Basic mathematical models and motivations -- The derivation of the equations for fluids and structure -- From image data to computational domains -- Geometry and flow -- Rheological models for blood -- Mathematical models of mass transfer in the vascular walls -- Analysis of coupled models for fluid-structure interaction of internal flows -- Algorithms for fluid-structure interaction problems -- Reduced models of the cardiovascular system -- Multiscale models of the vascular system -- Applications and test cases En línea: http://dx.doi.org/10.1007/978-88-470-1152-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34129 Cardiovascular Mathematics : Modeling and simulation of the circulatory system [documento electrónico] / SpringerLink (Online service) ; Luca Formaggia ; Quarteroni, Alfio ; Alessandro Veneziani . - Milano : Springer Milan, 2009 . - XIII, 522 p : online resource. - (MS&A, ISSN 2037-5255; 1) .
ISBN : 978-88-470-1152-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Cardiology Partial differential equations Applied mathematics Engineering Mathematical models Biomathematics Applications of and Computational Biology Physiological, Cellular Medical Topics Modeling Industrial Differential Equations Clasificación: 51 Matemáticas Resumen: Cardiovascular diseases have a major impact in Western countries. Mathematical models and numerical simulations can help the understanding of physiological and pathological processes, complementing the information provided to medical doctors by medical imaging and other non-invasive means, and opening the possibility of a better diagnosis and more in-depth surgical planning.This book offers a mathematically sound and up-to-date foundation to the training of researchers, and serves as a useful reference for the development of mathematical models and numerical simulation codes. It is structured into different chapters, written by recognized experts in the field, and however it features a common thread, with consistency of notation and expressions and systematic cross-referencing. Many fundamental issues are faced, such as: the mathematical representation of vascular geometries extracted from medical images, modelling blood rheology and the complex multilayer structure of the vascular tissue, and its possible pathologies, the mechanical and chemical interaction between blood and vascular walls; the different scales coupling local and systemic dynamics. All of these topics introduce challenging mathematical and numerical problems, demanding for advanced analysis and simulation techniques. This book is addressed to graduate students and researchers in the field of bioengineering, applied mathematics and medicine, wishing to engage themselves in the fascinating task of modeling how the cardiovascular system works Nota de contenido: Physiology and pathology of the cardiovascular system: A physical perspective -- Basic mathematical models and motivations -- The derivation of the equations for fluids and structure -- From image data to computational domains -- Geometry and flow -- Rheological models for blood -- Mathematical models of mass transfer in the vascular walls -- Analysis of coupled models for fluid-structure interaction of internal flows -- Algorithms for fluid-structure interaction problems -- Reduced models of the cardiovascular system -- Multiscale models of the vascular system -- Applications and test cases En línea: http://dx.doi.org/10.1007/978-88-470-1152-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34129 Ejemplares
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Título : Cellular Automaton Modeling of Biological Pattern Formation : Characterization, Applications, and Analysis Tipo de documento: documento electrónico Autores: Andreas Deutsch ; SpringerLink (Online service) ; Sabine Dormann Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2005 Colección: Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679 Número de páginas: XXIII, 331 p Il.: online resource ISBN/ISSN/DL: 978-0-8176-4415-4 Idioma : Inglés (eng) Palabras clave: Life sciences Computer simulation Applied mathematics Engineering Mathematical models Biomathematics Sciences Sciences, general and Computational Biology Modeling Industrial Mathematics Physiological, Cellular Medical Topics Applications of Simulation Clasificación: 51 Matemáticas Resumen: This book focuses on a challenging application field of cellular automata: pattern formation in biological systems, such as the growth of microorganisms, dynamics of cellular tissue and tumors, and formation of pigment cell patterns. These phenomena, resulting from complex cellular interactions, cannot be deduced solely from experimental analysis, but can be more easily examined using mathematical models, in particular, cellular automaton models. While there are various books treating cellular automaton modeling, this interdisciplinary work is the first one covering biological applications. The book is divided into three parts: Part I deals with general principles, theories, and models of pattern formation; Part II examines cellular automaton modeling; and Part III explains various applications. The models and analytic techniques described may be extended to other exciting applications in biology, medicine, and immunology. Key topics and features: * Provides an introduction and historical account of the principles of biological pattern formation (morphogenesis) * Gives an overview of mathematical modeling approaches to morphogenesis, and an introduction to cellular automata and analytic techniques * A supplementary web-based Java applet---Cellular Automaton Simulator---enables interactive simulation of various cellular automaton applications described in the book; available on the internet at www.biomodeling.info * Self-contained presentation is accessible to a broad audience; only basic calculus and linear algebra are required * Careful balance of theory, models, and applications useful to both experimentalists and theoreticians * Includes suggestions for further research topics The book is aimed at researchers, practitioners, and students in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science interested in a cellular automaton approach to biological modeling. The book's accessible presentation and interdisciplinary approach make it suitable for graduate and advanced undergraduate courses and seminars in mathematical biology, biomodeling, and biocomputing Nota de contenido: General Principles, Theories, and Models of Pattern Formation -- and Outline -- On the Origin of Patterns -- Mathematical Modeling of Biological Pattern Formation -- Cellular Automaton Modeling -- Cellular Automata -- Applications -- Random Movement -- Growth Processes -- Adhesive Cell Interaction -- Alignment and Cellular Swarming -- Pigment Cell Pattern Formation -- Tissue and Tumor Development -- Turing Patterns and Excitable Media -- Discussion and Outlook En línea: http://dx.doi.org/10.1007/b138451 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35173 Cellular Automaton Modeling of Biological Pattern Formation : Characterization, Applications, and Analysis [documento electrónico] / Andreas Deutsch ; SpringerLink (Online service) ; Sabine Dormann . - Boston, MA : Birkhäuser Boston, 2005 . - XXIII, 331 p : online resource. - (Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679) .
ISBN : 978-0-8176-4415-4
Idioma : Inglés (eng)
Palabras clave: Life sciences Computer simulation Applied mathematics Engineering Mathematical models Biomathematics Sciences Sciences, general and Computational Biology Modeling Industrial Mathematics Physiological, Cellular Medical Topics Applications of Simulation Clasificación: 51 Matemáticas Resumen: This book focuses on a challenging application field of cellular automata: pattern formation in biological systems, such as the growth of microorganisms, dynamics of cellular tissue and tumors, and formation of pigment cell patterns. These phenomena, resulting from complex cellular interactions, cannot be deduced solely from experimental analysis, but can be more easily examined using mathematical models, in particular, cellular automaton models. While there are various books treating cellular automaton modeling, this interdisciplinary work is the first one covering biological applications. The book is divided into three parts: Part I deals with general principles, theories, and models of pattern formation; Part II examines cellular automaton modeling; and Part III explains various applications. The models and analytic techniques described may be extended to other exciting applications in biology, medicine, and immunology. Key topics and features: * Provides an introduction and historical account of the principles of biological pattern formation (morphogenesis) * Gives an overview of mathematical modeling approaches to morphogenesis, and an introduction to cellular automata and analytic techniques * A supplementary web-based Java applet---Cellular Automaton Simulator---enables interactive simulation of various cellular automaton applications described in the book; available on the internet at www.biomodeling.info * Self-contained presentation is accessible to a broad audience; only basic calculus and linear algebra are required * Careful balance of theory, models, and applications useful to both experimentalists and theoreticians * Includes suggestions for further research topics The book is aimed at researchers, practitioners, and students in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science interested in a cellular automaton approach to biological modeling. The book's accessible presentation and interdisciplinary approach make it suitable for graduate and advanced undergraduate courses and seminars in mathematical biology, biomodeling, and biocomputing Nota de contenido: General Principles, Theories, and Models of Pattern Formation -- and Outline -- On the Origin of Patterns -- Mathematical Modeling of Biological Pattern Formation -- Cellular Automaton Modeling -- Cellular Automata -- Applications -- Random Movement -- Growth Processes -- Adhesive Cell Interaction -- Alignment and Cellular Swarming -- Pigment Cell Pattern Formation -- Tissue and Tumor Development -- Turing Patterns and Excitable Media -- Discussion and Outlook En línea: http://dx.doi.org/10.1007/b138451 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35173 Ejemplares
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Título : Mathematics for Life Science and Medicine Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Takeuchi, Yasuhiro ; Yoh Iwasa ; Sato, Kazunori Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2007 Colección: Biological and Medical Physics, Biomedical Engineering, ISSN 1618-7210 Número de páginas: X, 228 p Il.: online resource ISBN/ISSN/DL: 978-3-540-34426-1 Idioma : Inglés (eng) Palabras clave: Mathematics Immunology Virology Biomathematics Biophysics Biological physics Statistical Dynamical systems Mathematical and Computational Biology Physiological, Cellular Medical Topics Physics, Systems Complexity Physics Clasificación: 51 Matemáticas Resumen: Dynamical systems theory in mathematical biology has attracted much attention from many scientific directions. The purpose of this volume is to present and discuss the many rich properties of the dynamical systems that appear in life science and medicine. The main topics include cancer treatment, dynamics of paroxysmal tachycardia, vector disease models, epidemic diseases and metapopulations, immune systems, pathogen competition and coexistence and the evolution of virulence and the rapid evolution of viruses within a host. Each chapter will serve to introduce students and scholars to the state-of-the-art in an exciting area, to present new results, and to inspire future contributions to mathematical modeling in life science and medicine Nota de contenido: Mathematical Studies of Dynamics and Evolution of Infectious Diseases -- Basic Knowledge and Developing Tendencies in Epidemic Dynamics -- Delayed SIR Epidemic Models for Vector Diseases? -- Epidemic Models with Population Dispersal -- Spatial-Temporal Dynamics in Nonlocal Epidemiological Models -- Pathogen Competition and Coexistence and the Evolution of Virulence -- Directional Evolution of Virus Within a Host Under Immune Selection -- Stability Analysis of a Mathematical Model of the Immune Response with Delays -- Modeling Cancer Treatment Using Competition: A Survey En línea: http://dx.doi.org/10.1007/978-3-540-34426-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34609 Mathematics for Life Science and Medicine [documento electrónico] / SpringerLink (Online service) ; Takeuchi, Yasuhiro ; Yoh Iwasa ; Sato, Kazunori . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2007 . - X, 228 p : online resource. - (Biological and Medical Physics, Biomedical Engineering, ISSN 1618-7210) .
ISBN : 978-3-540-34426-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Immunology Virology Biomathematics Biophysics Biological physics Statistical Dynamical systems Mathematical and Computational Biology Physiological, Cellular Medical Topics Physics, Systems Complexity Physics Clasificación: 51 Matemáticas Resumen: Dynamical systems theory in mathematical biology has attracted much attention from many scientific directions. The purpose of this volume is to present and discuss the many rich properties of the dynamical systems that appear in life science and medicine. The main topics include cancer treatment, dynamics of paroxysmal tachycardia, vector disease models, epidemic diseases and metapopulations, immune systems, pathogen competition and coexistence and the evolution of virulence and the rapid evolution of viruses within a host. Each chapter will serve to introduce students and scholars to the state-of-the-art in an exciting area, to present new results, and to inspire future contributions to mathematical modeling in life science and medicine Nota de contenido: Mathematical Studies of Dynamics and Evolution of Infectious Diseases -- Basic Knowledge and Developing Tendencies in Epidemic Dynamics -- Delayed SIR Epidemic Models for Vector Diseases? -- Epidemic Models with Population Dispersal -- Spatial-Temporal Dynamics in Nonlocal Epidemiological Models -- Pathogen Competition and Coexistence and the Evolution of Virulence -- Directional Evolution of Virus Within a Host Under Immune Selection -- Stability Analysis of a Mathematical Model of the Immune Response with Delays -- Modeling Cancer Treatment Using Competition: A Survey En línea: http://dx.doi.org/10.1007/978-3-540-34426-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34609 Ejemplares
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Título : Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Piero Manfredi ; Alberto D'Onofrio Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Número de páginas: XIII, 329 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-5474-8 Idioma : Inglés (eng) Palabras clave: Mathematics Immunology Chemometrics Health promotion Infectious diseases Biomathematics Physiological, Cellular and Medical Topics Math. Applications in Chemistry Promotion Disease Prevention Diseases Mathematical Computational Biology Clasificación: 51 Matemáticas Resumen: This volume summarizes the state-of-the-art in the fast growing research area of modeling the influence of information-driven human behavior on the spread and control of infectious diseases. In particular, it features the two main and inter-related “core” topics: behavioral changes in response to global threats, for example, pandemic influenza, and the pseudo-rational opposition to vaccines. The motivation comes from the fact that people are likely to change their behavior and their propensity to vaccinate themselves and their children based on information and rumors about the spread of a disease. As a consequence there is a feedback effect that may deeply affect the dynamics of epidemics and endemics. In order to make realistic predictions, modelers need to go beyond classical mathematical epidemiology to take these dynamic effects into account. With contributions from experts in this field, the book fills a void in the literature. It goes beyond classical texts, yet preserves the rationale of many of them by sticking to the underlying biology without compromising on scientific rigor. Epidemiologists, theoretical biologists, biophysicists, applied mathematicians, and PhD students will benefit from this book. However, it is also written for Public Health professionals interested in understanding models, and for advanced undergraduate students, since it only requires a working knowledge of mathematical epidemiology En línea: http://dx.doi.org/10.1007/978-1-4614-5474-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32258 Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases [documento electrónico] / SpringerLink (Online service) ; Piero Manfredi ; Alberto D'Onofrio . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XIII, 329 p : online resource.
ISBN : 978-1-4614-5474-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Immunology Chemometrics Health promotion Infectious diseases Biomathematics Physiological, Cellular and Medical Topics Math. Applications in Chemistry Promotion Disease Prevention Diseases Mathematical Computational Biology Clasificación: 51 Matemáticas Resumen: This volume summarizes the state-of-the-art in the fast growing research area of modeling the influence of information-driven human behavior on the spread and control of infectious diseases. In particular, it features the two main and inter-related “core” topics: behavioral changes in response to global threats, for example, pandemic influenza, and the pseudo-rational opposition to vaccines. The motivation comes from the fact that people are likely to change their behavior and their propensity to vaccinate themselves and their children based on information and rumors about the spread of a disease. As a consequence there is a feedback effect that may deeply affect the dynamics of epidemics and endemics. In order to make realistic predictions, modelers need to go beyond classical mathematical epidemiology to take these dynamic effects into account. With contributions from experts in this field, the book fills a void in the literature. It goes beyond classical texts, yet preserves the rationale of many of them by sticking to the underlying biology without compromising on scientific rigor. Epidemiologists, theoretical biologists, biophysicists, applied mathematicians, and PhD students will benefit from this book. However, it is also written for Public Health professionals interested in understanding models, and for advanced undergraduate students, since it only requires a working knowledge of mathematical epidemiology En línea: http://dx.doi.org/10.1007/978-1-4614-5474-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32258 Ejemplares
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