The Resource Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective, Niel Hens [and others]
Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective, Niel Hens [and others]
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The item Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective, Niel Hens [and others] represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective, Niel Hens [and others] represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Summary
 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, IBiostat, 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. ¡
 Language

 eng
 eng
 Extent
 1 online resource.
 Contents

 Data Sources
 Data Sources for Modeling Infectious Diseases
 pt. 4.
 Estimating the Force of Infection
 Estimating the Force of Infection from Incidence and Prevalence
 Parametric Approaches to Model the Prevalence and Force of Infection
 Nonparametric Approaches to Model the Prevalence and Force of Infection
 Semiparametric Approaches to Model the Prevalence and Force of Infection
 The Constraint of Monotonicity
 Hierarchical Bayesian Models for the Force of Infection
 pt. 1.
 Modeling the Prevalence and the Force of Infection Directly from Antibody Levels
 Modeling Multivariate Serological Data
 Estimating AgeTime Dependent Prevalence and Force of Infection from Serial Prevalence Data
 pt. 5.
 Estimating Mixing Patterns and the Basic Reproduction Number
 Who Acquires Infection from Whom? The Traditional Approach
 Informing WAIFW with Data on Social Contacts
 pt. 6.
 Integration of Statistical Models into the Mathematical Model Framework
 Integrating Estimated Parameters in a Basic SIR Model
 Introducing the Concept of the Book
 Why This Book? An Introduction
 pt. 2.
 Mathematical Models for Infectious Diseases: An Introduction
 A Priori and A Posteriori Models for Infectious Diseases
 The SIR Model
 pt. 3.
 Isbn
 9781461440727
 Label
 Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective
 Title
 Modeling infectious disease parameters based on serological and social contact data
 Title remainder
 a modern statistical perspective
 Statement of responsibility
 Niel Hens [and others]
 Subject

 Analytical, Diagnostic and Therapeutic Techniques and Equipment
 Bacterial Infections and Mycoses
 Communicable Diseases
 Communicable Diseases  epidemiology
 Delivery of Health Care
 Disciplines and Occupations
 Disease
 Environment and Public Health
 Epidemiologic Methods
 Epidemiology
 Epidemiology  Mathematical models
 Epidemiology  Mathematical models
 Epidemiology  Mathematical models
 Epidemiology  Statistical methods
 Epidemiology  Statistical methods
 Epidemiology  Statistical methods
 Health Care Evaluation Mechanisms
 Health Care Quality, Access, and Evaluation
 Health Occupations
 Infections
 Investigative Techniques
 MEDICAL  Forensic Medicine
 MEDICAL  Preventive Medicine
 MEDICAL  Public Health
 Mathematical statistics.
 Mathematics
 Medicine
 Models, Statistical
 Models, Theoretical
 Public Health
 Quality of Health Care
 Statistical Theory and Methods.
 Statistics as Topic
 Statistics for Life Sciences, Medicine, Health Sciences.
 Statistics.
 Language

 eng
 eng
 Summary
 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, IBiostat, 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. ¡
 Cataloging source
 GW5XE
 Dewey number
 614.4015118
 Index
 index present
 Language note
 English
 LC call number
 RA652.2.M3
 LC item number
 M63 2012
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 NLM call number
 WA 950
 http://library.link/vocab/relatedWorkOrContributorName
 Hens, Niel
 Series statement
 Statistics for biology and health,
 Series volume
 63
 http://library.link/vocab/subjectName

 Epidemiology
 Epidemiology
 Communicable Diseases
 Mathematics
 Models, Statistical
 Models, Theoretical
 Epidemiology
 Epidemiologic Methods
 Investigative Techniques
 Public Health
 Bacterial Infections and Mycoses
 Health Care Evaluation Mechanisms
 Medicine
 Analytical, Diagnostic and Therapeutic Techniques and Equipment
 Disease
 Health Occupations
 Quality of Health Care
 Health Care Quality, Access, and Evaluation
 Disciplines and Occupations
 Environment and Public Health
 Delivery of Health Care
 Communicable Diseases
 Statistics as Topic
 Infections
 MEDICAL
 MEDICAL
 MEDICAL
 Epidemiology
 Epidemiology
 Label
 Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective, Niel Hens [and others]
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 Data Sources
 Data Sources for Modeling Infectious Diseases
 pt. 4.
 Estimating the Force of Infection
 Estimating the Force of Infection from Incidence and Prevalence
 Parametric Approaches to Model the Prevalence and Force of Infection
 Nonparametric Approaches to Model the Prevalence and Force of Infection
 Semiparametric Approaches to Model the Prevalence and Force of Infection
 The Constraint of Monotonicity
 Hierarchical Bayesian Models for the Force of Infection
 pt. 1.
 Modeling the Prevalence and the Force of Infection Directly from Antibody Levels
 Modeling Multivariate Serological Data
 Estimating AgeTime Dependent Prevalence and Force of Infection from Serial Prevalence Data
 pt. 5.
 Estimating Mixing Patterns and the Basic Reproduction Number
 Who Acquires Infection from Whom? The Traditional Approach
 Informing WAIFW with Data on Social Contacts
 pt. 6.
 Integration of Statistical Models into the Mathematical Model Framework
 Integrating Estimated Parameters in a Basic SIR Model
 Introducing the Concept of the Book
 Why This Book? An Introduction
 pt. 2.
 Mathematical Models for Infectious Diseases: An Introduction
 A Priori and A Posteriori Models for Infectious Diseases
 The SIR Model
 pt. 3.
 Control code
 809852944
 Dimensions
 unknown
 Extent
 1 online resource.
 File format
 unknown
 Form of item
 online
 Isbn
 9781461440727
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9781461440727
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)809852944
 Label
 Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective, Niel Hens [and others]
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 Data Sources
 Data Sources for Modeling Infectious Diseases
 pt. 4.
 Estimating the Force of Infection
 Estimating the Force of Infection from Incidence and Prevalence
 Parametric Approaches to Model the Prevalence and Force of Infection
 Nonparametric Approaches to Model the Prevalence and Force of Infection
 Semiparametric Approaches to Model the Prevalence and Force of Infection
 The Constraint of Monotonicity
 Hierarchical Bayesian Models for the Force of Infection
 pt. 1.
 Modeling the Prevalence and the Force of Infection Directly from Antibody Levels
 Modeling Multivariate Serological Data
 Estimating AgeTime Dependent Prevalence and Force of Infection from Serial Prevalence Data
 pt. 5.
 Estimating Mixing Patterns and the Basic Reproduction Number
 Who Acquires Infection from Whom? The Traditional Approach
 Informing WAIFW with Data on Social Contacts
 pt. 6.
 Integration of Statistical Models into the Mathematical Model Framework
 Integrating Estimated Parameters in a Basic SIR Model
 Introducing the Concept of the Book
 Why This Book? An Introduction
 pt. 2.
 Mathematical Models for Infectious Diseases: An Introduction
 A Priori and A Posteriori Models for Infectious Diseases
 The SIR Model
 pt. 3.
 Control code
 809852944
 Dimensions
 unknown
 Extent
 1 online resource.
 File format
 unknown
 Form of item
 online
 Isbn
 9781461440727
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9781461440727
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)809852944
Subject
 Analytical, Diagnostic and Therapeutic Techniques and Equipment
 Bacterial Infections and Mycoses
 Communicable Diseases
 Communicable Diseases  epidemiology
 Delivery of Health Care
 Disciplines and Occupations
 Disease
 Environment and Public Health
 Epidemiologic Methods
 Epidemiology
 Epidemiology  Mathematical models
 Epidemiology  Mathematical models
 Epidemiology  Mathematical models
 Epidemiology  Statistical methods
 Epidemiology  Statistical methods
 Epidemiology  Statistical methods
 Health Care Evaluation Mechanisms
 Health Care Quality, Access, and Evaluation
 Health Occupations
 Infections
 Investigative Techniques
 MEDICAL  Forensic Medicine
 MEDICAL  Preventive Medicine
 MEDICAL  Public Health
 Mathematical statistics.
 Mathematics
 Medicine
 Models, Statistical
 Models, Theoretical
 Public Health
 Quality of Health Care
 Statistical Theory and Methods.
 Statistics as Topic
 Statistics for Life Sciences, Medicine, Health Sciences.
 Statistics.
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