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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
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 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.
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
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