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Modeling Infectious Disease Parameters Based on Serological and Social Contact Data

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Release : 2012-10-24
Genre : Medical
Kind : eBook
Book Rating : 726/5 ( reviews)

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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. This book was released on 2012-10-24. 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.

Mathematical and Statistical Models for Estimating Infectious Disease Parameters Based on Serological and Social Contact Data

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Release : 2020
Genre :
Kind : eBook
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Book Synopsis Mathematical and Statistical Models for Estimating Infectious Disease Parameters Based on Serological and Social Contact Data by : Thao Mai Phuong Tran (Doctor of Sciences: Statistics)

Download or read book Mathematical and Statistical Models for Estimating Infectious Disease Parameters Based on Serological and Social Contact Data written by Thao Mai Phuong Tran (Doctor of Sciences: Statistics). This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt:

Mathematical and Statistical Models for Estimating Infectious Disease Parameters Based on Serological and Social Contact Data

Download Mathematical and Statistical Models for Estimating Infectious Disease Parameters Based on Serological and Social Contact Data PDF Online Free

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Release : 2020
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Mathematical and Statistical Models for Estimating Infectious Disease Parameters Based on Serological and Social Contact Data by : Mai Phuong Thao Tran

Download or read book Mathematical and Statistical Models for Estimating Infectious Disease Parameters Based on Serological and Social Contact Data written by Mai Phuong Thao Tran. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Infectious Disease Data Analysis

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Release : 2019-11-07
Genre : Medical
Kind : eBook
Book Rating : 314/5 ( reviews)

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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. This book was released on 2019-11-07. 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

Modeling Infectious Diseases in Humans and Animals

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Release : 2011-09-19
Genre : Science
Kind : eBook
Book Rating : 038/5 ( reviews)

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Book Synopsis Modeling Infectious Diseases in Humans and Animals by : Matt J. Keeling

Download or read book Modeling Infectious Diseases in Humans and Animals written by Matt J. Keeling. This book was released on 2011-09-19. Available in PDF, EPUB and Kindle. Book excerpt: For epidemiologists, evolutionary biologists, and health-care professionals, real-time and predictive modeling of infectious disease is of growing importance. This book provides a timely and comprehensive introduction to the modeling of infectious diseases in humans and animals, focusing on recent developments as well as more traditional approaches. Matt Keeling and Pejman Rohani move from modeling with simple differential equations to more recent, complex models, where spatial structure, seasonal "forcing," or stochasticity influence the dynamics, and where computer simulation needs to be used to generate theory. In each of the eight chapters, they deal with a specific modeling approach or set of techniques designed to capture a particular biological factor. They illustrate the methodology used with examples from recent research literature on human and infectious disease modeling, showing how such techniques can be used in practice. Diseases considered include BSE, foot-and-mouth, HIV, measles, rubella, smallpox, and West Nile virus, among others. Particular attention is given throughout the book to the development of practical models, useful both as predictive tools and as a means to understand fundamental epidemiological processes. To emphasize this approach, the last chapter is dedicated to modeling and understanding the control of diseases through vaccination, quarantine, or culling. Comprehensive, practical introduction to infectious disease modeling Builds from simple to complex predictive models Models and methodology fully supported by examples drawn from research literature Practical models aid students' understanding of fundamental epidemiological processes For many of the models presented, the authors provide accompanying programs written in Java, C, Fortran, and MATLAB In-depth treatment of role of modeling in understanding disease control

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