Analysis Of Infectious Disease Data

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Analysis Of Infectious Disease Data

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Author : N.G. Becker
language : en
Publisher: CRC Press
Release Date : 1989-05-01

Analysis Of Infectious Disease Data written by N.G. Becker and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-05-01 with Mathematics categories.

An up-to-date account of various approaches available for the analysis of infectious disease data. Interpretation is discussed and the emphasis is on making statistical inferences about epidemiologically important parameters. Annotation copyrighted by Book News, Inc., Portland, OR

Analysis Of Infectious Disease Data

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Author : N.G. Becker
language : en
Publisher: CRC Press
Release Date : 2017-11-22

Analysis Of Infectious Disease Data written by N.G. Becker and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with Mathematics categories.

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.

Modeling Infectious Disease Parameters Based On Serological And Social Contact Data

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Author : Niel Hens
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-10-24

Modeling Infectious Disease Parameters Based On Serological And Social Contact Data written by Niel Hens and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-24 with Medical categories.

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.

Modern Infectious Disease Epidemiology

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Author : Alexander Krämer
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-01-23

Modern Infectious Disease Epidemiology written by Alexander Krämer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-23 with Medical categories.

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.

Handbook Of Infectious Disease Data Analysis

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Author : Leonhard Held
language : en
Publisher: CRC Press
Release Date : 2019-11-07

Handbook Of Infectious Disease Data Analysis written by Leonhard Held and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-07 with Medical categories.

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

Analyzing And Modeling Spatial And Temporal Dynamics Of Infectious Diseases

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Author : Dongmei Chen
language : en
Publisher: John Wiley & Sons
Release Date : 2014-12-31

Analyzing And Modeling Spatial And Temporal Dynamics Of Infectious Diseases written by Dongmei Chen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-31 with Medical categories.

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.

Epidemics

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Author : Ottar N. Bjørnstad
language : en
Publisher: Springer
Release Date : 2018-11-08

Epidemics written by Ottar N. Bjørnstad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-08 with Medical categories.

This book is designed to be a practical study in infectious disease dynamics. The book offers an easy to follow implementation and analysis of mathematical epidemiology. The book focuses on recent case studies in order to explore various conceptual, mathematical, and statistical issues. The dynamics of infectious diseases shows a wide diversity of pattern. Some have locally persistent chains-of-transmission, others persist spatially in ‘consumer-resource metapopulations’. Some infections are prevalent among the young, some among the old and some are age-invariant. Temporally, some diseases have little variation in prevalence, some have predictable seasonal shifts and others exhibit violent epidemics that may be regular or irregular in their timing. Models and ‘models-with-data’ have proved invaluable for understanding and predicting this diversity, and thence help improve intervention and control. Using mathematical models to understand infectious disease dynamics has a very rich history in epidemiology. The field has seen broad expansions of theories as well as a surge in real-life application of mathematics to dynamics and control of infectious disease. The chapters of Epidemics: Models and Data using R have been organized in a reasonably logical way: Chapters 1-10 is a mix and match of models, data and statistics pertaining to local disease dynamics; Chapters 11-13 pertains to spatial and spatiotemporal dynamics; Chapter 14 highlights similarities between the dynamics of infectious disease and parasitoid-host dynamics; Finally, Chapters 15 and 16 overview additional statistical methodology useful in studies of infectious disease dynamics. This book can be used as a guide for working with data, models and ‘models-and-data’ to understand epidemics and infectious disease dynamics in space and time.

Bayesian Analysis Of Infectious Diseases

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Author : Lyle D. Broemeling
language : en
Publisher: CRC Press
Release Date : 2021-02-07

Bayesian Analysis Of Infectious Diseases written by Lyle D. Broemeling and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-07 with Mathematics categories.

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

Infectious Diseases A Geographical Analysis

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Author : A. D. Cliff
language : en
Publisher: Oxford University Press
Release Date : 2009-07-30

Infectious Diseases A Geographical Analysis written by A. D. Cliff and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-30 with Social Science categories.

The last four decades of human history have seen the emergence of an unprecedented number of 'new' infectious diseases: the familiar roll call includes AIDS, Ebola, H5N1 influenza, hantavirus, hepatitis E, Lassa fever, legionnaires' and Lyme diseases, Marburg fever, Rift Valley fever, SARS, and West Nile. The outbreaks range in scale from global pandemics that have brought death and misery to millions, through to self-limiting outbreaks of mainly local impact. Some outbreaks have erupted explosively but have already faded away; some grumble along or continue to devastate as now persistent features in the medical lexicon; in others, a huge potential threat hangs uncertainly and worryingly in the air. Some outbreaks are merely local, others are worldwide. This book looks at the epidemiological and geographical conditions which underpin disease emergence. What are the processes which lead to emergence? Why now in human history? Where do such diseases emerge and how do they spread or fail to spread around the globe? What is the armoury of surveillance and control measures that may curb the impact of such diseases? But, uniquely, it sets these questions on the modern period of disease emergence in an historical context. First, it uses the historical record to set recent events against a much broader temporal canvas, finding emergence to be a constant theme in disease history rather than one confined to recent decades. It concludes that it is the quantitative pace of emergence, rather than its intrinsic nature, that separates the present period from earlier centuries. Second, it looks at the spatial and ecological setting of emergence, using hundreds of specially-drawn maps to chart the source areas of new diseases and the pathways of their spread. The book is divided into three main sections: Part 1 looks at early disease emergence, Part 2 at the processes of disease emergence, and Part 3 at the future for emergent diseases.

Analysis Of Infectious Disease Data

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Author : Qizhi Chen
language : en
Publisher:
Release Date : 2000

Analysis Of Infectious Disease Data written by Qizhi Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Communicable diseases categories.