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008			170228s2017 sz a ob 000 0 eng d
020			_a3319532081 _q(electronic bk.)
020			_a9783319532080 _q(electronic bk.)
020			_z3319532065
020			_z9783319532066 _q(print)
040			_aN$T _cN$T _dIDEBK _dEBLCP _dGW5XE _dN$T _dYDX _dOCLCQ _dNJR _dOCLCF _dCOO _dIOG _dAZU _dUWO _dUPM _dMERER _dESU _dZ5A _dOCLCQ _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dOCLCA _dOCLCQ _dU3W _dNAM _dES-MaUEC _bspa
050		4	_aRA643 _b.L589 2017 EB
100	1		_aLiu, Xinzhi, _d1956- _eautor
245	1	0	_aInfectious disease modeling : _ba hybrid system approach _cXinzhi Liu, Peter Stechlinski.
264		1	_aCham, Switzerland _bSpringer _c[2017]
300			_a1 recurso en línea (xvi, 271 páginas) _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aNonlinear systems and complexity _x2195-9994 _vvolume 19
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas
505	0		_aPreface; Contents; List of Symbols; Part I Mathematical Background; 1 Basic Theory; 1.1 Preliminaries; 1.2 Ordinary Differential Equations; 1.2.1 Fundamental Theory; 1.2.2 Stability Theory; 1.2.3 Partial Stability; 1.3 Impulsive Systems; 1.4 Delay Differential Equations; 1.5 Stochastic Differential Equations; 2 Hybrid and Switched Systems; 2.1 Stability Under Arbitrary Switching; 2.2 Stability Under Constrained Switching; 2.3 Switching Control; Part II Hybrid Infectious Disease Models; 3 The Switched SIR Model; 3.1 Model Formulation; 3.2 Threshold Criteria: The Basic Reproduction Number.
505	8		_a3.3 Seasonal Variations in Disease Transmission: Term-Time Forcing3.4 Adding Population Dynamics: The Classical Endemic Model; 3.5 Generalizing the Incidence Rate of New Infections; 3.6 Uncertainty in the Model: Stochastic Transmission; 3.7 Discussions; 4 Epidemic Models with Switching; 4.1 Absence of Conferred Natural Immunity: The SIS Model; 4.2 Multi-City Epidemics: Modeling Traveling Infections; 4.3 Vector-Borne Diseases with Seasonality; 4.4 Other Epidemiological Considerations; 4.4.1 Vertical Transmission; 4.4.2 Disease-Induced Mortality: Varying Population Size.
505	8		_a4.4.3 Waning Immunity: The Switched SIRS Model4.4.4 Passive Immunity: The Switched MSIR Model; 4.4.5 Infectious Disease Model with General Compartments; 4.4.6 Summary of Mode Basic Reproduction Numbers and Eradication Results; 4.5 Discussions; Part III Control Strategies; 5 Switching Control Strategies; 5.1 Vaccination of the Susceptible Group; 5.2 Treatment Schedules for Classes of Infected; 5.3 Introduction of the Exposed: A Controlled SEIR Model; 5.4 Screening of Traveling Individuals; 5.5 Switching Control for Vector-borne Diseases; 5.6 Discussions; 6 Pulse Control Strategies.
505	8		_a6.1 Public Immunization Campaigns: Control by Pulse Vaccination and Treatment6.1.1 Impulsive Control Applied to the Classical Endemic Model; 6.1.2 Incorporating Impulsive Treatment into the Public Campaigns; 6.1.3 The SIR Model with General Switched Incidence Rates; 6.1.4 Vaccine Failures; 6.1.5 Pulse Control Applied to an Epidemic Model with Media Coverage; 6.1.6 Multi-City Vaccination Efforts; 6.1.7 Pulse Vaccination Strategies for a Vector-Borne Disease; 6.2 Discussions; 6.2.1 Comparison of Control Schemes; 7 A Case Study: Chikungunya Outbreakin Réunion; 7.1 Background.
505	8		_a7.2 Human-Mosquito Interaction Mechanisms7.3 Chikungunya Virus Model Dynamics; 7.4 Control via Mechanical Destruction of Breeding Grounds; 7.5 Control via Reduction in Contact Rate Patterns; 7.6 Control Analysis: Efficacy Ratings; 7.6.1 Assessment of Mechanical Destruction of Breeding Sites; 7.6.2 Assessment of Reduction in Contact Rate Patterns; 7.7 Discussions; Part IV Conclusions and Future Work; 8 Conclusions and Future Directions; References.
520	3		_aThis volume presents infectious diseases modeled mathematically, taking seasonality and changes in population behavior into account, using a switched and hybrid systems framework. The scope of coverage includes background on mathematical epidemiology, including classical formulations and results; a motivation for seasonal effects and changes in population behavior, an investigation into term-time forced epidemic models with switching parameters, and a detailed account of several different control strategies. The main goal is to study these models theoretically and to establish conditions under which eradication or persistence of the disease is guaranteed. In doing so, the long-term behavior of the models is determined through mathematical techniques from switched systems theory. Numerical simulations are also given to augment and illustrate the theoretical results and to help study the efficacy of the control schemes.
650		7	_aEnfermedades infecciosas _xEpidemiology. _2embne _0(OCoLC)fst00869891 _0 _9138404
700	1		_aStechlinski, Peter, _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-53208-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017C
998			_b02/2018 _dz _e- _zSI
999			_c95464 _d95464 _x1