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Link de la búsquedaMathematical Modeling of Biological Systems, Volume II / SpringerLink (Online service) ; Andreas Deutsch ; Rafael Bravo de la Parra ; Rob J. de Boer ; Odo Diekmann ; Peter Jagers ; Eva Kisdi ; Mirjam Kretzschmar ; Petr Lansky ; Hans Metz (2008)
Título : Mathematical Modeling of Biological Systems, Volume II : Epidemiology, Evolution and Ecology,Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Andreas Deutsch ; Rafael Bravo de la Parra ; Rob J. de Boer ; Odo Diekmann ; Peter Jagers ; Eva Kisdi ; Mirjam Kretzschmar ; Petr Lansky ; Hans Metz Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2008 Colección: Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679 Número de páginas: XVIII, 386 p Il.: online resource ISBN/ISSN/DL: 978-0-8176-4556-4 Idioma : Inglés (eng) Palabras clave: Mathematics Immunology Epidemiology Bioinformatics Applied mathematics Engineering Mathematical models Biomathematics and Computational Biology Modeling Industrial Biology/Bioinformatics Applications of Clasificación: 51 Matemáticas Resumen: This two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout both works are mathematical and computational approaches to examine central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations. Volume I covers a number of areas, including: * Cellular Biophysics * Regulatory Networks * Developmental Biology * Biomedical Applications * Data Analysis and Model Validation Volume II examines a diverse range of subjects, including: * Epidemiology * Evolution and Ecology * Immunology * Neural Systems and the Brain * Innovative Mathematical Methods and Education Both volumes will be excellent reference texts for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics Nota de contenido: Epidemiology -- Could Low-Efficacy Malaria Vaccines Increase Secondary Infections in Endemic Areas? -- Modeling of the Invasion of a Fungal Disease over a Vineyard -- An Algorithm for Parameter Estimation in Nosocomial Infections -- Evolution and Ecology -- Evolutionarily Stable Investment in Anti-Predatory Defences and Aposematic Signalling -- The Tangled Nature Model of Evolutionary Ecology: An Overview -- Relative Advantage and Fundamental Theorems of Natural Selection -- Competitive Exclusion Between Year-Classes in a Semelparous Biennial Population -- On the Impact ofWinter Conditions on the Dynamics of an Isolated Population -- Planning for Biodiversity Conservation Using Stochastic Programming -- A Diffusion-Reaction Model of a Mixed-Culture Biofilm Arising in Food Safety Studies -- The Periodical Population Dynamics of Lottery Models Including the Effect of Undeveloped Seeds -- Immunology -- An Automata-Based Microscopic Model Inspired by Clonal Expansion -- Th1–Th2 Regulation and Allergy: Bifurcation Analysis of the Non-Autonomous System -- Architecture of Randomly Evolving Idiotypic Networks -- Analysis of Infectious Mortality by Means of the Individualized Risk Model -- Neural Systems and the Brain -- Neuromorphological Phenotyping in Transgenic Mice: A Multiscale Fractal Analysis -- A Quantitative Model of ATP-Mediated Calcium Wave Propagation in Astrocyte Networks -- Dynamics of Neural Fields with Distributed Transmission Speeds -- Estimation of Differential Entropy for Positive Random Variables and Its Application in Computational Neuroscience -- Dynamics of Integrate-and-Fire Models -- A Monte Carlo Method Used for the Identification of the Muscle Spindle -- Mechanisms of Coincidence Detection in the Auditory Brainstem: Examples -- Multi-Scale Analysis of Brain Surface Data -- The Spike Generation Processes: A Case for Low Level Computation -- Innovative Mathematical Methods and Education -- Offdiagonal Complexity: A Computationally Quick Network Complexity Measure—Application to Protein Networks and Cell Division -- An Analytically Solvable Asymptotic Model of Atrial Excitability -- A Bayesian Approach to the Quantitative Polymerase Chain Reaction -- A Model of Poplar (Populus sp.) Physiology and Morphology Based on Relational Growth Grammars -- Asymptotic Behavior of a Two-Dimensional Keller–Segel Model with and without Density Control -- Saturation Effects in Population Dynamics: Use Branching Processes or Dynamical Systems? -- Modelling and Simulation by Stochastic Interacting Particle Systems -- Teaching Mathematical Biology in a Summer School for Undergraduates En línea: http://dx.doi.org/10.1007/978-0-8176-4556-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34260 Mathematical Modeling of Biological Systems, Volume II : Epidemiology, Evolution and Ecology,Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods [documento electrónico] / SpringerLink (Online service) ; Andreas Deutsch ; Rafael Bravo de la Parra ; Rob J. de Boer ; Odo Diekmann ; Peter Jagers ; Eva Kisdi ; Mirjam Kretzschmar ; Petr Lansky ; Hans Metz . - Boston, MA : Birkhäuser Boston, 2008 . - XVIII, 386 p : online resource. - (Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679) .
ISBN : 978-0-8176-4556-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Immunology Epidemiology Bioinformatics Applied mathematics Engineering Mathematical models Biomathematics and Computational Biology Modeling Industrial Biology/Bioinformatics Applications of Clasificación: 51 Matemáticas Resumen: This two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout both works are mathematical and computational approaches to examine central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations. Volume I covers a number of areas, including: * Cellular Biophysics * Regulatory Networks * Developmental Biology * Biomedical Applications * Data Analysis and Model Validation Volume II examines a diverse range of subjects, including: * Epidemiology * Evolution and Ecology * Immunology * Neural Systems and the Brain * Innovative Mathematical Methods and Education Both volumes will be excellent reference texts for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics Nota de contenido: Epidemiology -- Could Low-Efficacy Malaria Vaccines Increase Secondary Infections in Endemic Areas? -- Modeling of the Invasion of a Fungal Disease over a Vineyard -- An Algorithm for Parameter Estimation in Nosocomial Infections -- Evolution and Ecology -- Evolutionarily Stable Investment in Anti-Predatory Defences and Aposematic Signalling -- The Tangled Nature Model of Evolutionary Ecology: An Overview -- Relative Advantage and Fundamental Theorems of Natural Selection -- Competitive Exclusion Between Year-Classes in a Semelparous Biennial Population -- On the Impact ofWinter Conditions on the Dynamics of an Isolated Population -- Planning for Biodiversity Conservation Using Stochastic Programming -- A Diffusion-Reaction Model of a Mixed-Culture Biofilm Arising in Food Safety Studies -- The Periodical Population Dynamics of Lottery Models Including the Effect of Undeveloped Seeds -- Immunology -- An Automata-Based Microscopic Model Inspired by Clonal Expansion -- Th1–Th2 Regulation and Allergy: Bifurcation Analysis of the Non-Autonomous System -- Architecture of Randomly Evolving Idiotypic Networks -- Analysis of Infectious Mortality by Means of the Individualized Risk Model -- Neural Systems and the Brain -- Neuromorphological Phenotyping in Transgenic Mice: A Multiscale Fractal Analysis -- A Quantitative Model of ATP-Mediated Calcium Wave Propagation in Astrocyte Networks -- Dynamics of Neural Fields with Distributed Transmission Speeds -- Estimation of Differential Entropy for Positive Random Variables and Its Application in Computational Neuroscience -- Dynamics of Integrate-and-Fire Models -- A Monte Carlo Method Used for the Identification of the Muscle Spindle -- Mechanisms of Coincidence Detection in the Auditory Brainstem: Examples -- Multi-Scale Analysis of Brain Surface Data -- The Spike Generation Processes: A Case for Low Level Computation -- Innovative Mathematical Methods and Education -- Offdiagonal Complexity: A Computationally Quick Network Complexity Measure—Application to Protein Networks and Cell Division -- An Analytically Solvable Asymptotic Model of Atrial Excitability -- A Bayesian Approach to the Quantitative Polymerase Chain Reaction -- A Model of Poplar (Populus sp.) Physiology and Morphology Based on Relational Growth Grammars -- Asymptotic Behavior of a Two-Dimensional Keller–Segel Model with and without Density Control -- Saturation Effects in Population Dynamics: Use Branching Processes or Dynamical Systems? -- Modelling and Simulation by Stochastic Interacting Particle Systems -- Teaching Mathematical Biology in a Summer School for Undergraduates En línea: http://dx.doi.org/10.1007/978-0-8176-4556-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34260 Ejemplares
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Título : Epidemiology : Key to Prevention Tipo de documento: documento electrónico Autores: Klaus Krickeberg ; SpringerLink (Online service) ; Pham Van Trong ; Thi My Hanh Pham Editorial: New York, NY : Springer New York Fecha de publicación: 2012 Otro editor: Imprint: Springer Colección: Statistics for Biology and Health, ISSN 1431-8776 Número de páginas: XVI, 256 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-1205-2 Idioma : Inglés (eng) Palabras clave: Medicine Epidemiology Biostatistics Statistics & Public Health for Life Sciences, Medicine, Sciences Clasificación: 51 Matemáticas Resumen: This book is meant for adoption in first courses on epidemiology in Medical Schools and Faculties of Public Health in developing and transition countries and in workshops in these countries, taught for example by members of international organizations. It is also suitable for parallel or second reading within curricula in developed countries and for teaching epidemiology in a Master’s programme on “International Health”. The book will enable any lecturer to compose his or her introductory courses on epidemiology by selecting the material deemed appropriate. It will provide a solid foundation for more advanced teaching. The intended readership consists in the first place of general medical students; students following the programme “Preventive Physician” that runs parallel to general medical studies in some countries; students starting to specialize in Public Health; and lecturers in epidemiology. The book can also serve well as an introduction into epidemiology for anybody else interested in this field, for example staff of health institutions. Examples and practical work are taken from the present situation of health in Vietnam, which can easily be adapted to any other developing or transition country Nota de contenido: The idea of epidemiology -- Uses and applications of epidemiology -- Some case studies and situation analyses -- Infectious diseases: descriptive epidemiology, transmissions, surveillance, control -- Infectious diseases: modelling, immunity -- Diarrhoea and cholera -- Tuberculosis and malaria -- Dengue fever -- Viral hepatitis -- HIV/AIDS -- The origin of information: registers and health information systems -- The origin of information: sampling -- Descriptive data analysis and statistics -- The normal law and applications -- Basic concepts of epidemiology -- Cross sectional studies -- Cohort studies -- Clinical (therapeutic trials) -- Clinical epidemiology -- Case control studies -- Confouding -- Epidemiology of cancer -- Epidemiology of cardio vascular diseases -- Community studies -- Nutritional and environmental epidemiology -- Social and genetic epidemiology -- Some practical considerations around epidemiologic studies -- Outlook En línea: http://dx.doi.org/10.1007/978-1-4614-1205-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32750 Epidemiology : Key to Prevention [documento electrónico] / Klaus Krickeberg ; SpringerLink (Online service) ; Pham Van Trong ; Thi My Hanh Pham . - New York, NY : Springer New York : Imprint: Springer, 2012 . - XVI, 256 p : online resource. - (Statistics for Biology and Health, ISSN 1431-8776) .
ISBN : 978-1-4614-1205-2
Idioma : Inglés (eng)
Palabras clave: Medicine Epidemiology Biostatistics Statistics & Public Health for Life Sciences, Medicine, Sciences Clasificación: 51 Matemáticas Resumen: This book is meant for adoption in first courses on epidemiology in Medical Schools and Faculties of Public Health in developing and transition countries and in workshops in these countries, taught for example by members of international organizations. It is also suitable for parallel or second reading within curricula in developed countries and for teaching epidemiology in a Master’s programme on “International Health”. The book will enable any lecturer to compose his or her introductory courses on epidemiology by selecting the material deemed appropriate. It will provide a solid foundation for more advanced teaching. The intended readership consists in the first place of general medical students; students following the programme “Preventive Physician” that runs parallel to general medical studies in some countries; students starting to specialize in Public Health; and lecturers in epidemiology. The book can also serve well as an introduction into epidemiology for anybody else interested in this field, for example staff of health institutions. Examples and practical work are taken from the present situation of health in Vietnam, which can easily be adapted to any other developing or transition country Nota de contenido: The idea of epidemiology -- Uses and applications of epidemiology -- Some case studies and situation analyses -- Infectious diseases: descriptive epidemiology, transmissions, surveillance, control -- Infectious diseases: modelling, immunity -- Diarrhoea and cholera -- Tuberculosis and malaria -- Dengue fever -- Viral hepatitis -- HIV/AIDS -- The origin of information: registers and health information systems -- The origin of information: sampling -- Descriptive data analysis and statistics -- The normal law and applications -- Basic concepts of epidemiology -- Cross sectional studies -- Cohort studies -- Clinical (therapeutic trials) -- Clinical epidemiology -- Case control studies -- Confouding -- Epidemiology of cancer -- Epidemiology of cardio vascular diseases -- Community studies -- Nutritional and environmental epidemiology -- Social and genetic epidemiology -- Some practical considerations around epidemiologic studies -- Outlook En línea: http://dx.doi.org/10.1007/978-1-4614-1205-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32750 Ejemplares
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Título : Mathematical and Statistical Estimation Approaches in Epidemiology Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Gerardo Chowell ; James M. Hyman ; Luís M. A. Bettencourt ; Carlos Castillo-Chavez Editorial: Dordrecht : Springer Netherlands Fecha de publicación: 2009 Número de páginas: XIII, 363 p Il.: online resource ISBN/ISSN/DL: 978-90-481-2313-1 Idioma : Inglés (eng) Palabras clave: Mathematics Infectious diseases Epidemiology Probabilities Statistics Probability Theory and Stochastic Processes Biomedicine general Diseases for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: Mathematical and Statistical Estimation Approaches in Epidemiology compiles t- oretical and practical contributions of experts in the analysis of infectious disease epidemics in a single volume. Recent collections have focused in the analyses and simulation of deterministic and stochastic models whose aim is to identify and rank epidemiological and social mechanisms responsible for disease transmission. The contributions in this volume focus on the connections between models and disease data with emphasis on the application of mathematical and statistical approaches that quantify model and data uncertainty. The book is aimed at public health experts, applied mathematicians and sci- tists in the life and social sciences, particularly graduate or advanced undergraduate students, who are interested not only in building and connecting models to data but also in applying and developing methods that quantify uncertainty in the context of infectious diseases. Chowell and Brauer open this volume with an overview of the classical disease transmission models of Kermack-McKendrick including extensions that account for increased levels of epidemiological heterogeneity. Their theoretical tour is followed by the introduction of a simple methodology for the estimation of, the basic reproduction number,R . The use of this methodology 0 is illustrated, using regional data for 1918–1919 and 1968 in uenza pandemics Nota de contenido: The Basic Reproduction Number of Infectious Diseases: Computation and Estimation Using Compartmental Epidemic Models -- Stochastic Epidemic Modeling -- Two Critical Issues in Quantitative Modeling of Communicable Diseases: Inference of Unobservables and Dependent Happening -- The Chain of Infection, Contacts, and Model Parametrization -- The Effective Reproduction Number as a Prelude to Statistical Estimation of Time-Dependent Epidemic Trends -- Sensitivity of Model-Based Epidemiological Parameter Estimation to Model Assumptions -- An Ensemble Trajectory Method for Real-Time Modeling and Prediction of Unfolding Epidemics: Analysis of the 2005 Marburg Fever Outbreak in Angola -- Statistical Challenges in BioSurveillance -- Death Records from Historical Archives: A Valuable Source of Epidemiological Information -- Sensitivity Analysis for Uncertainty Quantification in Mathematical Models -- An Inverse Problem Statistical Methodology Summary -- The Epidemiological Impact of Rotavirus Vaccination Programs in the United States and Mexico -- Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility -- The Role of Nonlinear Relapse on Contagion Amongst Drinking Communities En línea: http://dx.doi.org/10.1007/978-90-481-2313-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34133 Mathematical and Statistical Estimation Approaches in Epidemiology [documento electrónico] / SpringerLink (Online service) ; Gerardo Chowell ; James M. Hyman ; Luís M. A. Bettencourt ; Carlos Castillo-Chavez . - Dordrecht : Springer Netherlands, 2009 . - XIII, 363 p : online resource.
ISBN : 978-90-481-2313-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Infectious diseases Epidemiology Probabilities Statistics Probability Theory and Stochastic Processes Biomedicine general Diseases for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: Mathematical and Statistical Estimation Approaches in Epidemiology compiles t- oretical and practical contributions of experts in the analysis of infectious disease epidemics in a single volume. Recent collections have focused in the analyses and simulation of deterministic and stochastic models whose aim is to identify and rank epidemiological and social mechanisms responsible for disease transmission. The contributions in this volume focus on the connections between models and disease data with emphasis on the application of mathematical and statistical approaches that quantify model and data uncertainty. The book is aimed at public health experts, applied mathematicians and sci- tists in the life and social sciences, particularly graduate or advanced undergraduate students, who are interested not only in building and connecting models to data but also in applying and developing methods that quantify uncertainty in the context of infectious diseases. Chowell and Brauer open this volume with an overview of the classical disease transmission models of Kermack-McKendrick including extensions that account for increased levels of epidemiological heterogeneity. Their theoretical tour is followed by the introduction of a simple methodology for the estimation of, the basic reproduction number,R . The use of this methodology 0 is illustrated, using regional data for 1918–1919 and 1968 in uenza pandemics Nota de contenido: The Basic Reproduction Number of Infectious Diseases: Computation and Estimation Using Compartmental Epidemic Models -- Stochastic Epidemic Modeling -- Two Critical Issues in Quantitative Modeling of Communicable Diseases: Inference of Unobservables and Dependent Happening -- The Chain of Infection, Contacts, and Model Parametrization -- The Effective Reproduction Number as a Prelude to Statistical Estimation of Time-Dependent Epidemic Trends -- Sensitivity of Model-Based Epidemiological Parameter Estimation to Model Assumptions -- An Ensemble Trajectory Method for Real-Time Modeling and Prediction of Unfolding Epidemics: Analysis of the 2005 Marburg Fever Outbreak in Angola -- Statistical Challenges in BioSurveillance -- Death Records from Historical Archives: A Valuable Source of Epidemiological Information -- Sensitivity Analysis for Uncertainty Quantification in Mathematical Models -- An Inverse Problem Statistical Methodology Summary -- The Epidemiological Impact of Rotavirus Vaccination Programs in the United States and Mexico -- Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility -- The Role of Nonlinear Relapse on Contagion Amongst Drinking Communities En línea: http://dx.doi.org/10.1007/978-90-481-2313-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34133 Ejemplares
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Título : Modern Infectious Disease Epidemiology : Concepts, Methods, Mathematical Models, and Public Health Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Alexander Krämer ; Mirjam Kretzschmar ; Klaus Krickeberg Editorial: New York, NY : Springer New York Fecha de publicación: 2010 Colección: Statistics for Biology and Health, ISSN 1431-8776 Número de páginas: XVI, 443 p Il.: online resource ISBN/ISSN/DL: 978-0-387-93835-6 Idioma : Inglés (eng) Palabras clave: Medicine Public health Health informatics Infectious diseases Epidemiology Biostatistics Statistics & Informatics for Life Sciences, Medicine, Sciences Diseases Clasificación: 51 Matemáticas Resumen: Hardly a day goes by without news headlines concerning infectious disease threats. Currently the spectre of a pandemic of influenza A|H1N1 is raising its head, and heated debates are taking place about the pro’s and con’s of vaccinating young girls against human papilloma virus. For an evidence-based and responsible communication of infectious disease topics to avoid misunderstandings and overreaction of the public, we need solid scientific knowledge and an understanding of all aspects of infectious diseases and their control. The aim of our book is to present the reader with the general picture and the main ideas of the subject. The book introduces the reader to methodological aspects of epidemiology that are specific for infectious diseases and provides insight into the epidemiology of some classes of infectious diseases characterized by their main modes of transmission. This choice of topics bridges the gap between scientific research on the clinical, biological, mathematical, social and economic aspects of infectious diseases and their applications in public health. The book will help the reader to understand the impact of infectious diseases on modern society and the instruments that policy makers have at their disposal to deal with these challenges. It is written for students of the health sciences, both of curative medicine and public health, and for experts that are active in these and related domains, and it may be of interest for the educated layman since the technical level is kept relatively low. The authors are internationally renowned experts in the field of infectious disease epidemiology. The editors come from different scientific backgrounds but have been devoted to research in infectious disease epidemiology for many years. Alexander Krämer is an internist and epidemiologist who co-founded the first School of Public Health in the German-speaking region of Europe at the University of Bielefeld. Mirjam Kretzschmar is a mathematician and epidemiologist with many contributions to mathematical modelling of infectious diseases and its applications for public health. Klaus Krickeberg is a mathematician with background in health information systems in developing countries Nota de contenido: I Challenges -- The Global Burden of Infectious Diseases -- Global Challenges of Infectious Disease Epidemiology -- EmergingEmerging infectious diseases and Re-emerging Infectious Diseases -- Infectious Disease Control Policies and the Role of Governmental and Intergovernmental Organisations -- II General concepts and methods -- Principles of Infectious Disease Epidemiology -- Social Risk Factors -- Molecular Typing and Clustering Analysis as a Tool for Epidemiology of Infectious Diseases -- Epidemiologic Surveillance -- Outbreak Investigations -- Geographic Information Systems -- Methods and Concepts of Epidemiology -- Mathematical Models in Infectious Disease Epidemiology -- Immunity to Infectious Diseases -- Principles and Practice of Vaccinology -- Health Economics of Infectious Diseases -- III Epidemiology of particular infectious diseases -- Airborne Transmission: Influenza and Tuberculosis -- Infectious Childhood Diarrhea in Developing Countries -- Bloodborne and Sexual Transmission: HIV/AIDS -- Blood Borne and Sexual Transmission: Hepatitis B and C -- Sexual Transmission: Chlamydia trachomatis -- Vector-Borne Transmission: Malaria, Dengue, and Yellow Fever -- Nosocomial Transmission: Methicillin-Resistant Staphylococcus aureus (MRSA) -- Infectious Diseases and Cancer: HPV En línea: http://dx.doi.org/10.1007/978-0-387-93835-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33527 Modern Infectious Disease Epidemiology : Concepts, Methods, Mathematical Models, and Public Health [documento electrónico] / SpringerLink (Online service) ; Alexander Krämer ; Mirjam Kretzschmar ; Klaus Krickeberg . - New York, NY : Springer New York, 2010 . - XVI, 443 p : online resource. - (Statistics for Biology and Health, ISSN 1431-8776) .
ISBN : 978-0-387-93835-6
Idioma : Inglés (eng)
Palabras clave: Medicine Public health Health informatics Infectious diseases Epidemiology Biostatistics Statistics & Informatics for Life Sciences, Medicine, Sciences Diseases Clasificación: 51 Matemáticas Resumen: Hardly a day goes by without news headlines concerning infectious disease threats. Currently the spectre of a pandemic of influenza A|H1N1 is raising its head, and heated debates are taking place about the pro’s and con’s of vaccinating young girls against human papilloma virus. For an evidence-based and responsible communication of infectious disease topics to avoid misunderstandings and overreaction of the public, we need solid scientific knowledge and an understanding of all aspects of infectious diseases and their control. The aim of our book is to present the reader with the general picture and the main ideas of the subject. The book introduces the reader to methodological aspects of epidemiology that are specific for infectious diseases and provides insight into the epidemiology of some classes of infectious diseases characterized by their main modes of transmission. This choice of topics bridges the gap between scientific research on the clinical, biological, mathematical, social and economic aspects of infectious diseases and their applications in public health. The book will help the reader to understand the impact of infectious diseases on modern society and the instruments that policy makers have at their disposal to deal with these challenges. It is written for students of the health sciences, both of curative medicine and public health, and for experts that are active in these and related domains, and it may be of interest for the educated layman since the technical level is kept relatively low. The authors are internationally renowned experts in the field of infectious disease epidemiology. The editors come from different scientific backgrounds but have been devoted to research in infectious disease epidemiology for many years. Alexander Krämer is an internist and epidemiologist who co-founded the first School of Public Health in the German-speaking region of Europe at the University of Bielefeld. Mirjam Kretzschmar is a mathematician and epidemiologist with many contributions to mathematical modelling of infectious diseases and its applications for public health. Klaus Krickeberg is a mathematician with background in health information systems in developing countries Nota de contenido: I Challenges -- The Global Burden of Infectious Diseases -- Global Challenges of Infectious Disease Epidemiology -- EmergingEmerging infectious diseases and Re-emerging Infectious Diseases -- Infectious Disease Control Policies and the Role of Governmental and Intergovernmental Organisations -- II General concepts and methods -- Principles of Infectious Disease Epidemiology -- Social Risk Factors -- Molecular Typing and Clustering Analysis as a Tool for Epidemiology of Infectious Diseases -- Epidemiologic Surveillance -- Outbreak Investigations -- Geographic Information Systems -- Methods and Concepts of Epidemiology -- Mathematical Models in Infectious Disease Epidemiology -- Immunity to Infectious Diseases -- Principles and Practice of Vaccinology -- Health Economics of Infectious Diseases -- III Epidemiology of particular infectious diseases -- Airborne Transmission: Influenza and Tuberculosis -- Infectious Childhood Diarrhea in Developing Countries -- Bloodborne and Sexual Transmission: HIV/AIDS -- Blood Borne and Sexual Transmission: Hepatitis B and C -- Sexual Transmission: Chlamydia trachomatis -- Vector-Borne Transmission: Malaria, Dengue, and Yellow Fever -- Nosocomial Transmission: Methicillin-Resistant Staphylococcus aureus (MRSA) -- Infectious Diseases and Cancer: HPV En línea: http://dx.doi.org/10.1007/978-0-387-93835-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33527 Ejemplares
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Título : Statistical Models and Methods for Biomedical and Technical Systems Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Filia Vonta ; Mikhail S. Nikulin ; Nikolaos Limnios ; Catherine Huber-Carol Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2008 Colección: Statistics for Industry and Technology, ISSN 2364-6241 Número de páginas: XXXVI, 556 p. 55 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4619-6 Idioma : Inglés (eng) Palabras clave: Medicine Epidemiology Applied mathematics Engineering Mathematical models Statistics Biomedical engineering & Public Health Applications of Mathematics for Life Sciences, Medicine, Sciences Statistical Theory and Methods Modeling Industrial Clasificación: 51 Matemáticas Resumen: An outgrowth of the "International Conference on Statistical Models for Biomedical and Technical Systems," this book is comprised of contributions from renowned experts, demonstrating the significance of current research on theory, methods, and applications of the field. The contributions, which deal with the mathematical aspects of survival analysis and reliability as well as other topics, are a careful selection of invited and contributed chapters, reflecting recent developments in the following areas: * Applications in epidemiology * Estimation and testing for stochastic processes * Generalizations of the Cox regression model * Probabilistic and statistical models and methods in reliability * Semi-parametric inference in survival analysis * Models and methods in survival analysis, longevity, aging, and degradation * Nonparametric estimation – Goodness-of-fit tests * Accelerated life models * Quality of life * Analysis of censored data * Adaptive and repeated measurements designs * Measures of divergence, model selection, and survival models * New statistical challenges in genomics The book will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering. Practitioners and researchers in academia will gain insight and new ideas for exploring this fertile area of research Nota de contenido: Cox Models, Analyses, and Extensions -- Extended Cox and Accelerated Models in Reliability, with General Censoring and Truncation -- Corrected Score Estimation in the Cox Regression Model with Misclassified Discrete Covariates -- A Varying-Coefficient Hazards Regression Model for Multiple Cross-Effect -- Closure Properties and Diagnostic Plots for the Frailty Distribution in Proportional Hazards Models -- Multivariate Survival Data With Censoring -- Reliability Theory—Degradation Models -- Virtual (Biological) Age Versus Chronological Age -- A Competing Risks Model for Degradation and Traumatic Failure Times -- Generalized Birth and Death Processes as Degradation Models -- Nonperiodic Inspections to Guarantee a Prescribed Level of Reliability -- Optimal Incomplete Maintenance for Weibull Failure Processes -- Are Nonhomogeneous Poisson Process Models Preferable to General-Order Statistics Models for Software Reliability Estimation? -- Multistate System Reliability Assessment by Using the Markov Reward Model -- Inferential Analysis -- Asymptotic Certainty Bands for Kernel Density Estimators Based upon a Bootstrap Resampling Scheme -- Estimation of Rescaled Distribution -- Nested Plans for Sequential Change Point Detection—The Parametric Case -- Sampling in Survival Analysis and Estimation with Unknown Selection Bias and Censoring -- Testing the Acceleration Function in Lifetime Models -- Recent Achievements in Modified Chi-Squared Goodness-of-Fit Testing -- Goodness-of-Fit Tests for Pareto Distribution -- Application of Inverse Problems in Epidemiology and Biodemography -- Analysis of Censored Data -- A Sampling-Based Chi-Squared Test for Interval-Censored Data -- Semiparametric Regression Models for Interval-Censored Survival Data, With and Without Frailty Effects -- Exact Likelihood Inference for an Exponential Parameter Under Progressive Hybrid Censoring Schemes -- Quality of Life -- Sequential Analysis of Quality-of-Life Measurements Using Mixed Rasch Models -- Measuring Degradation of Quality-of-Life Related to Pollution in the SEQAP Study -- A Bayesian Ponders “The Quality of Life” -- Inference for Processes -- On the Goodness-of-Fit Tests for Some Continuous Time Processes -- Nonparametric Estimation of Integral Functionals for Semi-Markov Processes with Application in Reliability -- Estimators for Partially Observed Markov Chains -- On Solving Statistical Problems for the Stochastic Processes by the Sufficient Empirical Averaging Method -- Designs -- Adaptive Designs for Group Sequential Clinical Survival Experiments -- Optimal Two-Treatment Repeated Measurement Designs for Two Periods -- Measures of Divergence, Model Selection, and Survival Models -- Discrepancy-Based Model Selection Criteria Using Cross-Validation -- Focused Information Criteria for the Linear Hazard Regression Model -- On Measures of Information and Divergence and Model Selection Criteria -- Entropy and Divergence Measures for Mixed Variables -- New Statistical Challenges -- Clinical Trials and the Genomic Evolution: Some Statistical Perspectives En línea: http://dx.doi.org/10.1007/978-0-8176-4619-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34267 Statistical Models and Methods for Biomedical and Technical Systems [documento electrónico] / SpringerLink (Online service) ; Filia Vonta ; Mikhail S. Nikulin ; Nikolaos Limnios ; Catherine Huber-Carol . - Boston, MA : Birkhäuser Boston, 2008 . - XXXVI, 556 p. 55 illus : online resource. - (Statistics for Industry and Technology, ISSN 2364-6241) .
ISBN : 978-0-8176-4619-6
Idioma : Inglés (eng)
Palabras clave: Medicine Epidemiology Applied mathematics Engineering Mathematical models Statistics Biomedical engineering & Public Health Applications of Mathematics for Life Sciences, Medicine, Sciences Statistical Theory and Methods Modeling Industrial Clasificación: 51 Matemáticas Resumen: An outgrowth of the "International Conference on Statistical Models for Biomedical and Technical Systems," this book is comprised of contributions from renowned experts, demonstrating the significance of current research on theory, methods, and applications of the field. The contributions, which deal with the mathematical aspects of survival analysis and reliability as well as other topics, are a careful selection of invited and contributed chapters, reflecting recent developments in the following areas: * Applications in epidemiology * Estimation and testing for stochastic processes * Generalizations of the Cox regression model * Probabilistic and statistical models and methods in reliability * Semi-parametric inference in survival analysis * Models and methods in survival analysis, longevity, aging, and degradation * Nonparametric estimation – Goodness-of-fit tests * Accelerated life models * Quality of life * Analysis of censored data * Adaptive and repeated measurements designs * Measures of divergence, model selection, and survival models * New statistical challenges in genomics The book will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering. Practitioners and researchers in academia will gain insight and new ideas for exploring this fertile area of research Nota de contenido: Cox Models, Analyses, and Extensions -- Extended Cox and Accelerated Models in Reliability, with General Censoring and Truncation -- Corrected Score Estimation in the Cox Regression Model with Misclassified Discrete Covariates -- A Varying-Coefficient Hazards Regression Model for Multiple Cross-Effect -- Closure Properties and Diagnostic Plots for the Frailty Distribution in Proportional Hazards Models -- Multivariate Survival Data With Censoring -- Reliability Theory—Degradation Models -- Virtual (Biological) Age Versus Chronological Age -- A Competing Risks Model for Degradation and Traumatic Failure Times -- Generalized Birth and Death Processes as Degradation Models -- Nonperiodic Inspections to Guarantee a Prescribed Level of Reliability -- Optimal Incomplete Maintenance for Weibull Failure Processes -- Are Nonhomogeneous Poisson Process Models Preferable to General-Order Statistics Models for Software Reliability Estimation? -- Multistate System Reliability Assessment by Using the Markov Reward Model -- Inferential Analysis -- Asymptotic Certainty Bands for Kernel Density Estimators Based upon a Bootstrap Resampling Scheme -- Estimation of Rescaled Distribution -- Nested Plans for Sequential Change Point Detection—The Parametric Case -- Sampling in Survival Analysis and Estimation with Unknown Selection Bias and Censoring -- Testing the Acceleration Function in Lifetime Models -- Recent Achievements in Modified Chi-Squared Goodness-of-Fit Testing -- Goodness-of-Fit Tests for Pareto Distribution -- Application of Inverse Problems in Epidemiology and Biodemography -- Analysis of Censored Data -- A Sampling-Based Chi-Squared Test for Interval-Censored Data -- Semiparametric Regression Models for Interval-Censored Survival Data, With and Without Frailty Effects -- Exact Likelihood Inference for an Exponential Parameter Under Progressive Hybrid Censoring Schemes -- Quality of Life -- Sequential Analysis of Quality-of-Life Measurements Using Mixed Rasch Models -- Measuring Degradation of Quality-of-Life Related to Pollution in the SEQAP Study -- A Bayesian Ponders “The Quality of Life” -- Inference for Processes -- On the Goodness-of-Fit Tests for Some Continuous Time Processes -- Nonparametric Estimation of Integral Functionals for Semi-Markov Processes with Application in Reliability -- Estimators for Partially Observed Markov Chains -- On Solving Statistical Problems for the Stochastic Processes by the Sufficient Empirical Averaging Method -- Designs -- Adaptive Designs for Group Sequential Clinical Survival Experiments -- Optimal Two-Treatment Repeated Measurement Designs for Two Periods -- Measures of Divergence, Model Selection, and Survival Models -- Discrepancy-Based Model Selection Criteria Using Cross-Validation -- Focused Information Criteria for the Linear Hazard Regression Model -- On Measures of Information and Divergence and Model Selection Criteria -- Entropy and Divergence Measures for Mixed Variables -- New Statistical Challenges -- Clinical Trials and the Genomic Evolution: Some Statistical Perspectives En línea: http://dx.doi.org/10.1007/978-0-8176-4619-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34267 Ejemplares
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