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001			288580
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007			cr nn 008mamaa
008			150903s2012 xxu| o |||| 0|eng d
020			_a9781461440727 _99781461440727
024	7		_a10.1007/9781461440727 _2doi
035			_avtls000341197
039		9	_a201509030834 _bVLOAD _c201405050225 _dVLOAD _y201402061053 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA276-280
100	1		_aHens, Niel. _eautor _9318389
245	1	0	_aModeling Infectious Disease Parameters Based on Serological and Social Contact Data : _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 páginas 122 ilustraciones, 2 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aStatistics for Biology and Health, _x1431-8776 ; _v63
500			_aSpringer eBooks
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.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aShkedy, Ziv. _eautor _9318390
700	1		_aAerts, Marc. _eautor _9318391
700	1		_aFaes, Christel. _eautor _9318392
700	1		_aVan Damme, Pierre. _eautor _9318393
700	1		_aBeutels, Philippe. _eautor _9318394
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781461440710
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4614-4072-7 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c288580 _d288580