000			03259nam a22005175i 4500
001			978-1-4614-5474-8
003			DE-He213
005			20140220082820.0
007			cr nn 008mamaa
008			130107s2013 xxu| s |||| 0|eng d
020			_a9781461454748 _9978-1-4614-5474-8
024	7		_a10.1007/978-1-4614-5474-8 _2doi
050		4	_aQH323.5
072		7	_aPBW _2bicssc
072		7	_aMAT003000 _2bisacsh
082	0	4	_a570.285 _223
100	1		_aManfredi, Piero. _eeditor.
245	1	0	_aModeling the Interplay Between Human Behavior and the Spread of Infectious Diseases _h[electronic resource] / _cedited by Piero Manfredi, Alberto D'Onofrio.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2013.
300			_aXIII, 329 p. 62 illus., 37 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
520			_aThis volume summarizes the state-of-the-art in the fast growing research area of modeling the influence of information-driven human behavior on the spread and control of infectious diseases. In particular, it features the two main and inter-related “core” topics: behavioral changes in response to global threats, for example, pandemic influenza, and the pseudo-rational opposition to vaccines. The motivation comes from the fact that people are likely to change their behavior and their propensity to vaccinate themselves and their children based on information and rumors about the spread of a disease. As a consequence there is a feedback effect that may deeply affect the dynamics of epidemics and endemics. In order to make realistic predictions, modelers need to go beyond classical mathematical epidemiology to take these dynamic effects into account. With contributions from experts in this field, the book fills a void in the literature. It goes beyond classical texts, yet preserves the rationale of many of them by sticking to the underlying biology without compromising on scientific rigor. Epidemiologists, theoretical biologists, biophysicists, applied mathematicians, and PhD students will benefit from this book. However, it is also written for Public Health professionals interested in understanding models, and for advanced undergraduate students, since it only requires a working knowledge of mathematical epidemiology.
650		0	_aMathematics.
650		0	_aImmunology.
650		0	_aChemistry _xMathematics.
650		0	_aMedicine.
650		0	_aEmerging infectious diseases.
650		0	_aPhysiology _xMathematics.
650	1	4	_aMathematics.
650	2	4	_aPhysiological, Cellular and Medical Topics.
650	2	4	_aImmunology.
650	2	4	_aMath. Applications in Chemistry.
650	2	4	_aHealth Promotion and Disease Prevention.
650	2	4	_aInfectious Diseases.
650	2	4	_aMathematical and Computational Biology.
700	1		_aD'Onofrio, Alberto. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461454731
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-5474-8
912			_aZDB-2-SMA
999			_c95419 _d95419