000			04181nam a22004335i 4500
999			_c8707 _d8707
001			8707
003			ESmaUEC
005			20201024175107.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			181024s2018 gw | s |||| 0|eng d
020			_a9783030521097
024	7		_a10.1007/978-3-030-52109-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-VaUE
050		4	_aRA642 _b.L58 2020 EB
100			_aLiu, Jiming _9516331
245	1	0	_aComputational Epidemiology: _bFrom Disease Transmission Modeling to Vaccination Decision Making _cby Jiming Liu, Shang Xia
250			_a1st ed. 2020
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020
300			_a1 recurso en línea (I-XVIII, 113 páginas) _bIlustraciones a color
336			_aTexto _btxt _2rdacontent
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aComputer Science (Springer-11645)
490	0		_aHealth Information Science (Springer-11944)
505	0		_aParadigms in Epidemiology Jiming Liu, Shang Xia Pages 1-13 Computational Modeling in a Nutshell Jiming Liu, Shang Xia Pages 15-32 Strategizing Vaccine Allocation Jiming Liu, Shang Xia Pages 33-48 Explaining Individuals’ Vaccination Decisions Jiming Liu, Shang Xia Pages 49-56 Characterizing Socially Influenced Vaccination Decisions Jiming Liu, Shang Xia Pages 57-70 Understanding the Effect of Social Media Jiming Liu, Shang Xia Pages 71-88 Welcome to the Era of Systems Epidemiology Jiming Liu, Shang Xia Pages 89-95
520	3		_aThis book provides a comprehensive introduction to computational epidemiology, highlighting its major methodological paradigms throughout the development of the field while emphasizing the needs for a new paradigm shift in order to most effectively address the increasingly complex real-world challenges in disease control and prevention. Specifically, the book presents the basic concepts, related computational models, and tools that are useful for characterizing disease transmission dynamics with respect to a heterogeneous host population. In addition, it shows how to develop and apply computational methods to tackle the challenges involved in population-level intervention, such as prioritized vaccine allocation. A unique feature of this book is that its examination on the issues of vaccination decision-making is not confined only to the question of how to develop strategic policies on prioritized interventions, as it further approaches the issues from the perspective of individuals, offering a well integrated cost-benefit and social-influence account for voluntary vaccination decisions. One of the most important contributions of this book lies in it offers a blueprint on a novel methodological paradigm in epidemiology, namely, systems epidemiology, with detailed systems modeling principles, as well as practical steps and real-world examples, which can readily be applied in addressing future systems epidemiological challenges. The book is intended to serve as a reference book for researchers and practitioners in the fields of computer science and epidemiology. Together with the provided references on the key concepts, methods, and examples being introduced, the book can also readily be adopted as an introductory text for undergraduate and graduate courses in computational epidemiology as well as systems epidemiology, and as training materials for practitioners and field workers.
650		0	_9512688 _aComputer-assisted instruction _zUnited States.
650		0	_9512172 _aHealth
650		7	_96694 _aEnfermedades infecciosas _2embne
650		7	_96440 _aBiología _2embne
700			_9516332 _aXia, Shang
710			_aSpringerLink _0http://id.loc.gov/authorities/names/no2005046756 _9106996
776	0	8	_iPrinted edition: _z9783030521073
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-52109-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
998			_db _feng _ggw _h0 _zSI