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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]

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]
Contributor
Subject
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, 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. ¡
Member of
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]
Instantiates
Publication
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 Age-Time 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
9786613936165
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4614-4072-7
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]
Publication
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 Age-Time 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
9786613936165
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4614-4072-7
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)809852944

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      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
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