Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective

Resource Information

The work Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.

Label

Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective

Title remainder

a modern statistical perspective

Statement of responsibility

Niel Hens [and others]

Contributor

• Hens, Niel

Subject

• Bacterial Infections and Mycoses
• Communicable Diseases
• Communicable Diseases -- epidemiology
• Delivery of Health Care
• Disease
• Environment and Public Health
• Epidemiologic Methods
• Epidemiology
• Epidemiology -- Mathematical models
• Epidemiology -- Mathematical models
• 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

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

• Statistics for biology and health, 63

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

Series statement

Statistics for biology and health,

Series volume

63