Bayesian Analysis Of Infectious Diseases

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Bayesian Analysis of Infectious Diseases

Author : Lyle D. Broemeling
Publisher : CRC Press
ISBN 13 : 100033631X
Total Pages : 342 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Bayesian Analysis of Infectious Diseases by : Lyle D. Broemeling

Download or read book Bayesian Analysis of Infectious Diseases written by Lyle D. Broemeling and published by CRC Press. This book was released on 2021-02-07 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic. The book describes the foundation of Bayesian statistics while explicating the biology and evolutionary behavior of infectious diseases, including viral and bacterial manifestations of the contagion. The book discusses the application of Markov Chains to contagious diseases, previews data analysis models, the epidemic threshold theorem, and basic properties of the infection process. Also described are the chain binomial model for the evolution of epidemics. Features: Represents the first book on infectious disease from a Bayesian perspective. Employs WinBUGS and R to generate observations that follow the course of contagious maladies. Includes discussion of the coronavirus pandemic as well as many examples from the past, including the flu epidemic of 1918-1919. Compares standard non-Bayesian and Bayesian inferences. Offers the R and WinBUGS code on at www.routledge.com/9780367633868

Bayesian Analysis of Infectious Disease Time Series Data and Optimal Constrained Bayesian Updating

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (612 download)

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Book Synopsis Bayesian Analysis of Infectious Disease Time Series Data and Optimal Constrained Bayesian Updating by :

Download or read book Bayesian Analysis of Infectious Disease Time Series Data and Optimal Constrained Bayesian Updating written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian analysis of infectious disease time series data and optimal constrained Bayesian updating.

Handbook of Infectious Disease Data Analysis

Author : Leonhard Held
Publisher : CRC Press
ISBN 13 : 1351839314
Total Pages : 472 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Handbook of Infectious Disease Data Analysis by : Leonhard Held

Download or read book Handbook of Infectious Disease Data Analysis written by Leonhard Held and published by CRC Press. This book was released on 2019-11-07 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen an explosion in new kinds of data on infectious diseases, including data on social contacts, whole genome sequences of pathogens, biomarkers for susceptibility to infection, serological panel data, and surveillance data. The Handbook of Infectious Disease Data Analysis provides an overview of many key statistical methods that have been developed in response to such new data streams and the associated ability to address key scientific and epidemiological questions. A unique feature of the Handbook is the wide range of topics covered. Key features Contributors include many leading researchers in the field Divided into four main sections: Basic concepts, Analysis of Outbreak Data, Analysis of Seroprevalence Data, Analysis of Surveillance Data Numerous case studies and examples throughout Provides both introductory material and key reference material

Bayesian Methods in Epidemiology

Author : Lyle D. Broemeling
Publisher : CRC Press
ISBN 13 : 1466564989
Total Pages : 464 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Bayesian Methods in Epidemiology by : Lyle D. Broemeling

Download or read book Bayesian Methods in Epidemiology written by Lyle D. Broemeling and published by CRC Press. This book was released on 2013-08-13 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a biostatistics expert with over 20 years of experience in the field, Bayesian Methods in Epidemiology presents statistical methods used in epidemiology from a Bayesian viewpoint. It employs the software package WinBUGS to carry out the analyses and offers the code in the text and for download online.The book examines study designs that

Bayesian Inference for Infectious Disease Data

Author : Philip D. O'neill
Publisher : Chapman & Hall/CRC
ISBN 13 : 9781584885481
Total Pages : 288 pages
Book Rating : 4.8/5 (854 download)

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Book Synopsis Bayesian Inference for Infectious Disease Data by : Philip D. O'neill

Download or read book Bayesian Inference for Infectious Disease Data written by Philip D. O'neill and published by Chapman & Hall/CRC. This book was released on 2009-04-01 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian methods play an increasingly important role in the analysis of infectious disease data, driven by recent increases in computing power. However, few books focus on Bayesian methods for such analyses. Emphasizing the practical value of methods and how they can be used to address scientific questions of interest, Bayesian Inference for Infectious Disease Data features a wide variety of real examples to illustrate the methods described. The book uses Monte Carlo Markov chain (MCMC) methods for simulating the analyses. Assuming limited mathematical knowledge, it provides an accessible introduction to Bayesian methods that is suitable for graduate students as well as researchers in the field.

Bayesian Disease Mapping

Author : Andrew B. Lawson
Publisher : CRC Press
ISBN 13 : 1584888415
Total Pages : 364 pages
Book Rating : 4.5/5 (848 download)

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Book Synopsis Bayesian Disease Mapping by : Andrew B. Lawson

Download or read book Bayesian Disease Mapping written by Andrew B. Lawson and published by CRC Press. This book was released on 2008-08-05 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on data commonly found in public health databases and clinical settings, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology provides an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease. The book explores a range of topics in Bayesian inference and

Bayesian Biostatistics and Diagnostic Medicine

Author : Lyle D. Broemeling
Publisher : CRC Press
ISBN 13 : 1584887680
Total Pages : 214 pages
Book Rating : 4.5/5 (848 download)

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Book Synopsis Bayesian Biostatistics and Diagnostic Medicine by : Lyle D. Broemeling

Download or read book Bayesian Biostatistics and Diagnostic Medicine written by Lyle D. Broemeling and published by CRC Press. This book was released on 2007-07-12 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are numerous advantages to using Bayesian methods in diagnostic medicine, which is why they are employed more and more today in clinical studies. Exploring Bayesian statistics at an introductory level, Bayesian Biostatistics and Diagnostic Medicine illustrates how to apply these methods to solve important problems in medicine and biology.

Infectious Disease Informatics and Biosurveillance

Author : Daniel Zeng
Publisher : Springer Science & Business Media
ISBN 13 : 144196892X
Total Pages : 531 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Infectious Disease Informatics and Biosurveillance by : Daniel Zeng

Download or read book Infectious Disease Informatics and Biosurveillance written by Daniel Zeng and published by Springer Science & Business Media. This book was released on 2010-11-16 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book on Infectious Disease Informatics (IDI) and biosurveillance is intended to provide an integrated view of the current state of the art, identify technical and policy challenges and opportunities, and promote cross-disciplinary research that takes advantage of novel methodology and what we have learned from innovative applications. This book also fills a systemic gap in the literature by emphasizing informatics driven perspectives (e.g., information system design, data standards, computational aspects of biosurveillance algorithms, and system evaluation). Finally, this book attempts to reach policy makers and practitioners through the clear and effective communication of recent research findings in the context of case studies in IDI and biosurveillance, providing “hands-on” in-depth opportunities to practitioners to increase their understanding of value, applicability, and limitations of technical solutions. This book collects the state of the art research and modern perspectives of distinguished individuals and research groups on cutting-edge IDI technical and policy research and its application in biosurveillance. The contributed chapters are grouped into three units. Unit I provides an overview of recent biosurveillance research while highlighting the relevant legal and policy structures in the context of IDI and biosurveillance ongoing activities. It also identifies IDI data sources while addressing information collection, sharing, and dissemination issues as well as ethical considerations. Unit II contains survey chapters on the types of surveillance methods used to analyze IDI data in the context of public health and bioterrorism. Specific computational techniques covered include: text mining, time series analysis, multiple data streams methods, ensembles of surveillance methods, spatial analysis and visualization, social network analysis, and agent-based simulation. Unit III examines IT and decision support for public health event response and bio-defense. Practical lessons learned in developing public health and biosurveillance systems, technology adoption, and syndromic surveillance for large events are discussed. The goal of this book is to provide an understandable interdisciplinary IDI and biosurveillance reference either used as a standalone textbook or reference for students, researchers, and practitioners in public health, veterinary medicine, biostatistics, information systems, computer science, and public administration and policy.

Analysis of Infectious Diseases Data in Ethiopia

Author : Belay Birlie Yimer (Doctor of Sciences: Statistics)
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (143 download)

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Book Synopsis Analysis of Infectious Diseases Data in Ethiopia by : Belay Birlie Yimer (Doctor of Sciences: Statistics)

Download or read book Analysis of Infectious Diseases Data in Ethiopia written by Belay Birlie Yimer (Doctor of Sciences: Statistics) and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases

Author : Dongmei Chen
Publisher : John Wiley & Sons
ISBN 13 : 1118629914
Total Pages : 496 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases by : Dongmei Chen

Download or read book Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases written by Dongmei Chen and published by John Wiley & Sons. This book was released on 2014-12-08 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features modern research and methodology on the spread of infectious diseases and showcases a broad range of multi-disciplinary and state-of-the-art techniques on geo-simulation, geo-visualization, remote sensing, metapopulation modeling, cloud computing, and pattern analysis Given the ongoing risk of infectious diseases worldwide, it is crucial to develop appropriate analysis methods, models, and tools to assess and predict the spread of disease and evaluate the risk. Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases features mathematical and spatial modeling approaches that integrate applications from various fields such as geo-computation and simulation, spatial analytics, mathematics, statistics, epidemiology, and health policy. In addition, the book captures the latest advances in the use of geographic information system (GIS), global positioning system (GPS), and other location-based technologies in the spatial and temporal study of infectious diseases. Highlighting the current practices and methodology via various infectious disease studies, Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases features: Approaches to better use infectious disease data collected from various sources for analysis and modeling purposes Examples of disease spreading dynamics, including West Nile virus, bird flu, Lyme disease, pandemic influenza (H1N1), and schistosomiasis Modern techniques such as Smartphone use in spatio-temporal usage data, cloud computing-enabled cluster detection, and communicable disease geo-simulation based on human mobility An overview of different mathematical, statistical, spatial modeling, and geo-simulation techniques Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases is an excellent resource for researchers and scientists who use, manage, or analyze infectious disease data, need to learn various traditional and advanced analytical methods and modeling techniques, and become aware of different issues and challenges related to infectious disease modeling and simulation. The book is also a useful textbook and/or supplement for upper-undergraduate and graduate-level courses in bioinformatics, biostatistics, public health and policy, and epidemiology.

Bayesian Methods in Pharmaceutical Research

Author : Emmanuel Lesaffre
Publisher : CRC Press
ISBN 13 : 1351718673
Total Pages : 547 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Bayesian Methods in Pharmaceutical Research by : Emmanuel Lesaffre

Download or read book Bayesian Methods in Pharmaceutical Research written by Emmanuel Lesaffre and published by CRC Press. This book was released on 2020-04-15 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation of Bayesian statistics, and to promote the added-value for accelerating the discovery and the delivery of new cures to patients. This book is a synthesis of the conferences and debates, providing an overview of Bayesian methods applied to nearly all stages of research and development, from early discovery to portfolio management. It highlights the value associated with sharing a vision with the regulatory authorities, academia, and pharmaceutical industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book covers: Theory, methods, applications, and computing Bayesian biostatistics for clinical innovative designs Adding value with Real World Evidence Opportunities for rare, orphan diseases, and pediatric development Applied Bayesian biostatistics in manufacturing Decision making and Portfolio management Regulatory perspective and public health policies Statisticians and data scientists involved in the research, development, and approval of new cures will be inspired by the possible applications of Bayesian methods covered in the book. The methods, applications, and computational guidance will enable the reader to apply Bayesian methods in their own pharmaceutical research.

Modeling Infectious Disease Parameters Based on Serological and Social Contact Data

Author : Niel Hens
Publisher : Springer Science & Business Media
ISBN 13 : 1461440726
Total Pages : 300 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Modeling Infectious Disease Parameters Based on Serological and Social Contact Data by : Niel Hens

Download or read book Modeling Infectious Disease Parameters Based on Serological and Social Contact Data written by Niel Hens and published by Springer Science & Business Media. This book was released on 2012-10-24 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical epidemiology of infectious diseases usually involves describing the flow of individuals between mutually exclusive infection states. One of the key parameters describing the transition from the susceptible to the infected class is the hazard of infection, often referred to as the force of infection. The force of infection reflects the degree of contact with potential for transmission between infected and susceptible individuals. The mathematical relation between the force of infection and effective contact patterns is generally assumed to be subjected to the mass action principle, which yields the necessary information to estimate the basic reproduction number, another key parameter in infectious disease epidemiology. It is within this context that the Center for Statistics (CenStat, I-Biostat, Hasselt University) and the Centre for the Evaluation of Vaccination and the Centre for Health Economic Research and Modelling Infectious Diseases (CEV, CHERMID, Vaccine and Infectious Disease Institute, University of Antwerp) have collaborated over the past 15 years. This book demonstrates the past and current research activities of these institutes and can be considered to be a milestone in this collaboration. This book is focused on the application of modern statistical methods and models to estimate infectious disease parameters. We want to provide the readers with software guidance, such as R packages, and with data, as far as they can be made publicly available.

Bayesian Inference for Infectious Disease Transmission Models Based on Ordinary Differential Equations

Author : Felix Weidemann
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (966 download)

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Book Synopsis Bayesian Inference for Infectious Disease Transmission Models Based on Ordinary Differential Equations by : Felix Weidemann

Download or read book Bayesian Inference for Infectious Disease Transmission Models Based on Ordinary Differential Equations written by Felix Weidemann and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bayesian Disease Mapping

Author : Andrew B. Lawson
Publisher : CRC Press
ISBN 13 : 1466504811
Total Pages : 398 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Bayesian Disease Mapping by : Andrew B. Lawson

Download or read book Bayesian Disease Mapping written by Andrew B. Lawson and published by CRC Press. This book was released on 2013-03-18 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. A biostatistics professor and WHO advisor, the author illustrates the use of Bayesian hierarchical modeling in the geographical analysis of disease through a range of real-world datasets. New to the Second Edition Three new chapters on regression and ecological analysis, putative hazard modeling, and disease map surveillance Expanded material on case event modeling and spatiotemporal analysis New and updated examples Two new appendices featuring examples of integrated nested Laplace approximation (INLA) and conditional autoregressive (CAR) models In addition to these new topics, the book covers more conventional areas such as relative risk estimation, clustering, spatial survival analysis, and longitudinal analysis. After an introduction to Bayesian inference, computation, and model assessment, the text focuses on important themes, including disease map reconstruction, cluster detection, regression and ecological analysis, putative hazard modeling, analysis of multiple scales and multiple diseases, spatial survival and longitudinal studies, spatiotemporal methods, and map surveillance. It shows how Bayesian disease mapping can yield significant insights into georeferenced health data. WinBUGS and R are used throughout for data manipulation and simulation.

Bayesian Methods for Data Analysis, Third Edition

Author : Bradley P. Carlin
Publisher : Chapman and Hall/CRC
ISBN 13 : 9781584886976
Total Pages : 0 pages
Book Rating : 4.8/5 (869 download)

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Book Synopsis Bayesian Methods for Data Analysis, Third Edition by : Bradley P. Carlin

Download or read book Bayesian Methods for Data Analysis, Third Edition written by Bradley P. Carlin and published by Chapman and Hall/CRC. This book was released on 2008-06-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (MCMC) methods and related data analytic techniques. New to the Third Edition New data examples, corresponding R and WinBUGS code, and homework problems Explicit descriptions and illustrations of hierarchical modeling—now commonplace in Bayesian data analysis A new chapter on Bayesian design that emphasizes Bayesian clinical trials A completely revised and expanded section on ranking and histogram estimation A new case study on infectious disease modeling and the 1918 flu epidemic A solutions manual for qualifying instructors that contains solutions, computer code, and associated output for every homework problem—available both electronically and in print Ideal for Anyone Performing Statistical Analyses Focusing on applications from biostatistics, epidemiology, and medicine, this text builds on the popularity of its predecessors by making it suitable for even more practitioners and students.

Advanced Bayesian Methods for Medical Test Accuracy

Author : Lyle D. Broemeling
Publisher : CRC Press
ISBN 13 : 1439838798
Total Pages : 482 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Advanced Bayesian Methods for Medical Test Accuracy by : Lyle D. Broemeling

Download or read book Advanced Bayesian Methods for Medical Test Accuracy written by Lyle D. Broemeling and published by CRC Press. This book was released on 2016-04-19 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Useful in many areas of medicine and biology, Bayesian methods are particularly attractive tools for the design of clinical trials and diagnostic tests, which are based on established information, usually from related previous studies. Advanced Bayesian Methods for Medical Test Accuracy begins with a review of the usual measures such as specificity

Analysis of Infectious Disease Data

Author : N.G. Becker
Publisher : CRC Press
ISBN 13 : 1351466704
Total Pages : 234 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Analysis of Infectious Disease Data by : N.G. Becker

Download or read book Analysis of Infectious Disease Data written by N.G. Becker and published by CRC Press. This book was released on 2017-11-22 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book gives an up-to-date account of various approaches availablefor the analysis of infectious disease data. Most of the methods havebeen developed only recently, and for those based on particularlymodern mathematics, details of the computation are carefullyillustrated. Interpretation is discussed at some length and the emphasisthroughout is on making statistical inferences about epidemiologicallyimportant parameters.Niels G. Becker is Reader in Statistics at La Trobe University,Australia.