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001 978-1-4614-4072-7
003 DE-He213
005 20140220083249.0
007 cr nn 008mamaa
008 120831s2012 xxu| s |||| 0|eng d
020 _a9781461440727
_9978-1-4614-4072-7
024 7 _a10.1007/978-1-4614-4072-7
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMBNS
_2bicssc
072 7 _aMED090000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aHens, Niel.
_eauthor.
245 1 0 _aModeling Infectious Disease Parameters Based on Serological and Social Contact Data
_h[electronic resource] :
_bA Modern Statistical Perspective /
_cby Niel Hens, Ziv Shkedy, Marc Aerts, Christel Faes, Pierre Van Damme, Philippe Beutels.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2012.
300 _aXVI, 298 p. 122 illus., 2 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStatistics for Biology and Health,
_x1431-8776 ;
_v63
505 0 _aMathematical models for infectious diesease -- The static model -- The dynamic model -- The stochastic model -- Implementation of models in MATLAB -- Data sources for modelling infectious diseases -- Estimation from serological data -- Parametric models for teh prevalence and the force of infection -- Non-parametric approaches to model the prevalence and force of infection -- Semi-parametric approaches to model the prevalence and force of infection -- A Bayesian approach -- Modelling the prevalence and the force of infection direction from antibody levels -- Modelling multivariate serological data -- Estimation from other data sources -- Estimating mixing patterns and Ro in a heterogenous population -- Modelling in a homogeneous population -- Modelling in a heterogeneous population -- Modelling AIDS outbreak data -- Modelling hepatitis C among injection drug users -- Modelling dengue -- Modelling bovine herpes virus in cattle.
520 _aMathematical 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.  
650 0 _aStatistics.
650 0 _aMathematical statistics.
650 1 4 _aStatistics.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
650 2 4 _aStatistics, general.
650 2 4 _aStatistical Theory and Methods.
700 1 _aShkedy, Ziv.
_eauthor.
700 1 _aAerts, Marc.
_eauthor.
700 1 _aFaes, Christel.
_eauthor.
700 1 _aVan Damme, Pierre.
_eauthor.
700 1 _aBeutels, Philippe.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461440710
830 0 _aStatistics for Biology and Health,
_x1431-8776 ;
_v63
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-4072-7
912 _aZDB-2-SMA
999 _c101477
_d101477