| 书目名称 | Modeling Infectious Disease Parameters Based on Serological and Social Contact Data |
| 副标题 | A Modern Statistical |
| 编辑 | Niel Hens,Ziv Shkedy,Philippe Beutels |
| 视频video | |
| 概述 | Demonstrates the application of modern statistical methods and models to estimate infectious disease parameters.Provides the reader with software guidance and data.Uses valuable case studies.Includes |
| 丛书名称 | Statistics for Biology and Health |
| 图书封面 |  |
| 描述 | .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 |
| 出版日期 | Book 2012 |
| 关键词 | Contact Data; Epidemiology; Infectious Disease; Modeling; Serological Data |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-4072-7 |
| isbn_softcover | 978-1-4899-8796-9 |
| isbn_ebook | 978-1-4614-4072-7Series ISSN 1431-8776 Series E-ISSN 2197-5671 |
| issn_series | 1431-8776 |
| copyright | Springer Science+Business Media New York 2012 |
发表于 2025-3-21 18:32:49
