The Resource Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective, Niel Hens...[et al.], (electronic book)
Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective, Niel Hens...[et al.], (electronic book)
Resource Information
The item Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective, Niel Hens...[et al.], (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.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...[et al.], (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
This item is available to borrow from 1 library branch.
- Language
- 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 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.
- Isbn
- 9781461440710
- 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...[et al.]
- Language
- eng
- Cataloging source
- GW5XE
- Dewey number
- 614.4015118
- Index
- index present
- LC call number
- RA652.2.M3
- LC item number
- M63 2012
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
- Hens, Niel
- Series statement
- Statistics for biology and health,
- Series volume
- 63
- http://library.link/vocab/subjectName
-
- Epidemiology
- Epidemiology
- Label
- Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective, Niel Hens...[et al.], (electronic book)
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Color
- multicolored
- 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
- SPR809852944
- Dimensions
- unknown
- Extent
- 1 online resource.
- File format
- unknown
- Form of item
- online
- Isbn
- 9781461440710
- Level of compression
- unknown
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Reproduction note
- Electronic resource.
- Sound
- unknown sound
- Specific material designation
- remote
- Label
- Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective, Niel Hens...[et al.], (electronic book)
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Color
- multicolored
- 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
- SPR809852944
- Dimensions
- unknown
- Extent
- 1 online resource.
- File format
- unknown
- Form of item
- online
- Isbn
- 9781461440710
- Level of compression
- unknown
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Reproduction note
- Electronic resource.
- Sound
- unknown sound
- Specific material designation
- remote
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Modeling-infectious-disease-parameters-based-on/DoSacYBtvXM/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Modeling-infectious-disease-parameters-based-on/DoSacYBtvXM/">Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective, Niel Hens...[et al.], (electronic book)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
