000			03814nam a22005295i 4500
001			978-0-387-09560-8
003			DE-He213
005			20250710083923.0
007			cr nn 008mamaa
008			100301s2009 xxu| s |||| 0|eng d
020			_a9780387095608 _a99780387095608
024	7		_a10.1007/978-0-387-09560-8 _2doi
082	0	4	_a616.9 _223
100	1		_aHannon, Bruce. _eauthor.
245	1	0	_aDynamic Modeling of Diseases and Pests _h[recurso electrónico] / _cby Bruce Hannon, Matthias Ruth.
264		1	_aNew York, NY : _bSpringer New York, _c2009.
300			_bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aModeling Dynamic Systems
505	0		_aThe Why and How of Dynamic Modeling -- Basic Epidemic Models -- Insect Dynamics -- Applications -- Malaria and Sickle Cell Anemia -- Encephalitis -- Chagas Disease -- Lyme Disease -- Chicken Pox and Shingles -- Toxoplasmosis -- The Zebra Mussel -- Biological Control of Pestilence -- Indirect Susceptible-Infected-Resistant Models of Arboviral Encephalitis Transmission -- Chaos and Pestilence -- Catastrophe and Pestilence -- Spatial Pestilence Dynamics -- Conclusions -- Conclusion.
520			_aModels help us understand the nonlinear dynamics of real-world processes by using the computer to mimic the actual forces that result in a system's behavior. The growing complexity of human social systems, from individual behavior to that of entire populations makes us increasingly vulnerable to diseases and pests. The ecology of the disease agents and the pests when considered in this social context only adds to the complexity. The feedbacks, lags in the effects of our preventive actions and the randomness in the environment make understanding of these vulnerabilities seem insurmountable. The amount and pace of modern travel provides virus and pest alike with the means to quickly find new hosts in untouched human populations and the ecosystems. We thus have compelling reasons to understand the dynamics of these combined systems. This book begins with simple examples of human epidemics and then insect dynamics. Next comes the models of ever more complex models of disease carried by interaction of the two. An invasive species model is followed by insect-ecosystem interactions. The general models of chaos and catastrophe are linked to models of disease and pest. The final model is a spatial dynamic spread of disease among a wild animal population. By using the STELLA programs (runtime versions and digital forms of all models are available with the book) we show how with a minimum of mathematical preparation and programming experience, these complex processes can be simulated and their emergent properties discovered. The programs run on both Macintosh and PC based machines.
650		0	_aMEDICINE.
650		0	_aEMERGING INFECTIOUS DISEASES.
650		0	_aEPIDEMIOLOGY.
650		0	_aCOMPUTER SCIENCE.
650		0	_aCOMPUTER SIMULATION.
650		0	_aBIOLOGY _xDATA PROCESSING.
650	1	4	_aMEDICINE & PUBLIC HEALTH.
650	2	4	_aINFECTIOUS DISEASES.
650	2	4	_aSIMULATION AND MODELING.
650	2	4	_aMEDICINE/PUBLIC HEALTH, GENERAL.
650	2	4	_aEPIDEMIOLOGY.
650	2	4	_aCOMPUTER APPL. IN LIFE SCIENCES.
650	2	4	_aMODELS AND PRINCIPLES.
700	1		_aRuth, Matthias. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387095592
830		0	_aModeling Dynamic Systems
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-09560-8 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SME
942			_2ddc _cER
999			_c55970 _d55970