Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition, Lawson Andrew B.
Автор: Congdon P.D. Название: Bayesian Hierarchical Metho ISBN: 1498785751 ISBN-13(EAN): 9781498785754 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Поставка под заказ.
Описание: This is the second edition of a book on applied Bayesian modelling using WinBUGS. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies.
Автор: Congdon, Peter D. Название: Bayesian hierarchical models ISBN: 1032177152 ISBN-13(EAN): 9781032177151 Издательство: Taylor&Francis Рейтинг: Цена: 6889.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the second edition of a book on applied Bayesian modelling using WinBUGS. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies.
Описание: This book provides an example of a thorough statistical treatment of ocean wave data in space and time. Furthermore, the book addresses the question of whether climate change has an effect of the ocean wave climate, and if so what that effect might be.
Автор: Miyamoto Sadaaki Название: Theory of Agglomerative Hierarchical Clustering ISBN: 9811904197 ISBN-13(EAN): 9789811904196 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses recent theoretical developments in agglomerative hierarchical clustering. A fundamental theorem for single linkage using a fuzzy graph is proved, which uncovers several theoretical features of single linkage.
Автор: Lee, Youngjo Ronnegard, Lars Noh, Maengseok Название: Data analysis using hierarchical generalized linear models with r ISBN: 0367657929 ISBN-13(EAN): 9780367657925 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Поставка под заказ.
Описание: Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the field and, using data examples, illustrates how to
Описание: Presents an overview of the complex biological systems used within a global public health setting and features a focus on malaria analysis Bridging the gap between agent–based modeling and simulation (ABMS) and geographic information systems (GIS), Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology provides a useful introduction to the development of agent–based models (ABMs) by following a conceptual and biological core model of Anopheles gambiae for malaria epidemiology. Using spatial ABMs, the book includes mosquito (vector) control interventions and GIS as two example applications of ABMs, as well as a brief description of epidemiology modeling. In addition, the authors discuss how to most effectively integrate spatial ABMs with a GIS. The book concludes with a combination of knowledge from entomological, epidemiological, simulation–based, and geo–spatial domains in order to identify and analyze relationships between various transmission variables of the disease. Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology also features: Location–specific mosquito abundance maps that play an important role in malaria control activities by guiding future resource allocation for malaria control and identifying hotspots for further investigation Discussions on the best modeling practices in an effort to achieve improved efficacy, cost–effectiveness, ecological soundness, and sustainability of vector control for malaria An overview of the various ABMs, GIS, and spatial statistical methods used in entomological and epidemiological studies, as well as the model malaria study A companion website with computer source code and flowcharts of the spatial ABM and a landscape generator tool that can simulate landscapes with varying spatial heterogeneity of different types of resources including aquatic habitats and houses Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology is an excellent reference for professionals such as modeling and simulation experts, GIS experts, spatial analysts, mathematicians, statisticians, epidemiologists, health policy makers, as well as researchers and scientists who use, manage, or analyze infectious disease data and/or infectious disease–related projects. The book is also ideal for graduate–level courses in modeling and simulation, bioinformatics, biostatistics, public health and policy, and epidemiology. S. M. Niaz Arifin, PhD, is Research Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame. A member of The Society for Computer Simulation, and American Society of Tropical Medicine and Hygiene, and the recipient of The American Society of Tropical Medicine and Hygiene Travel Award in 2011, his research interests include agent–based modeling and simulation, public health, data warehousing, and geographic information systems. Gregory R. Madey, PhD, is Research Professor in the Department of Computer Science and Engineering at the University of Notre Dame. A member of The Society for Computer Simulation, Institute of Electrical and Electronics Engineers Computer Society, and American Society of Tropical Medicine and Hygiene, his research interests include agent–based modeling and simulation, cyberinfrastructure, bioinformatics, biocomplexity, e–Technologies, open source software, disaster management, and health informatics. Frank H. Collins, PhD, is Professor in the Department of Biological Sciences at the University of Notre Dame. His research interests include genome level studies of arthropod vectors of human pathogens, the biology of malaria vectors with a focus on the development of molecular tools that will permit better resolution of questions about vector population ec
Описание: Features peer-reviewed chapters written by leading experts, Spatial and Temporal Dynamics of Infectious Diseases sheds new light on recent research and methodology on the spread of infectious diseases.
Описание: 1 Paradigms in Epidemiology1.1 Methodological Paradigms1.2 Recent Developments1.3 Infectious Diseases and Vaccination 1.4 Objectives and Tasks 1.4.1 Modeling Infectious Disease Dynamics 1.4.2 Modeling Vaccine Allocation Strategies 1.4.3 Modeling Vaccination Decision-Making 1.4.4 Modeling Subjective Perception 1.5 Summary 2 Computational Modeling in a Nutshell2.1 Modeling Infectious Disease Dynamics 2.1.1 Infectious Disease Models 2.1.2 Age-Specific Disease Transmissions2.2 Modeling Contact Relationships 2.2.1 Empirical Methods 2.2.2 Computational Methods2.3 Case Study 2.3.1 2009 Hong Kong H1N1 Influenza Epidemic 2.3.2 Age-Specific Contact Matrices 2.3.3 Validation2.4 Further Remarks 2.5 Summary3 Strategizing Vaccine Allocation3.1 Vaccination3.1.1 Herd Immunity 3.1.2 Vaccine Allocation Strategy3.2 Vaccination Priorities 3.3 Age-Specific Intervention Priorities 3.3.1 Modeling Prioritized Interventions 3.3.2 Effects of Vaccination 3.3.3 Effects of Contact Reduction3.3.4 Integrated Measures 3.4 Case Study 3.4.1 2009 Hong Kong HSI Vaccination Programme 3.4.2 Effects of Prioritized Interventions3.5 Further Remarks3.6 Summary4 Explaining Individuals' Vaccination Decisions4.1 Costs and Benefits for Decision-Making4.2 Game-Theoretic Modeling of Vaccination Decision-Making4.3 Case Study 4.3.1 2009 Hong Kong HSI Vaccination Programme4.3.2 Vaccination Coverage 4.4 Further Remarks4.5 Summary 5 Characterizing Socially Influenced Vaccination Decisions 5.1 Social Influences on Vaccination Decision-Making 5.2 Case Study 5.2.1 Vaccination Coverage 5.3 Further Remarks5.4 Summary 6 Understanding the Effect of Social Media 6.1 Modeling Subjective Perception 6.2 Subjective Perception in Vaccination Decision-Making 6.2.1 Dempster-Shafer Theory (DST)6.2.2 Spread of Social Awareness 6.3 Case Study 6.3.1 Vaccination Decision-Making in an Online SocialCommunity6.3.2 Interplay of Two Dynamics 6.4 Further Remarks 6.5 Summary7 Welcome to the Era of Systems Epidemiology 7.1 Systems Thinking in Epidemiology 7.2 Systems Modeling in Principle7.3 Systems Modeling in Practice7.4 Toward Systems Epidemiology 8 Further Readings References
Автор: Giesecke Название: Modern Infectious Disease Epidemiology, Third Edition ISBN: 1444180029 ISBN-13(EAN): 9781444180022 Издательство: Taylor&Francis Рейтинг: Цена: 5817.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Authoritative and detailed, yet concise and highly readable, this successful book continues to combine the principles of epidemiology with key fundamental concepts of infectious disease such as infection surveillance and control, incubation periods, seroepidemiology and immunity.
Автор: Lawson, Andrew B. Название: Using r for bayesian spatial and spatio-temporal health modeling ISBN: 0367490129 ISBN-13(EAN): 9780367490126 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested in applying Bayesian methodology in small area health data studies.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
