000			02207cam a2200301zu 4500
001			88838002
003			FRCYB88838002
005			20250107104237.0
006			m o d
007			cr un
008			250107s2012 fr | o|||||0|0|||eng d
020			_a9780691155395
035			_aFRCYB88838002
040			_aFR-PaCSA _ben _c _erda
100	1		_aDiekmann, Odo
245	0	1	_aMathematical Tools for Understanding Infectious Disease Dynamics _c['Diekmann, Odo', 'Heesterbeek, Hans', 'Britton, Tom']
264		1	_bPrinceton University Press _c2012
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aDiekmann, Odo
700	0		_aHeesterbeek, Hans
700	0		_aBritton, Tom
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88838002 _qtext/html _a
520			_aMathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods. Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided. Covers the latest research in mathematical modeling of infectious disease epidemiology Integrates deterministic and stochastic approaches Teaches skills in model construction, analysis, inference, and interpretation Features numerous exercises and their detailed elaborations Motivated by real-world applications throughout
999			_c14908 _d14908