標(biāo)題: Titlebook: An Introduction to Mathematical Epidemiology; Maia Martcheva Textbook 2015 Springer Science+Business Media New York 2015 Data Fitting.Epid [打印本頁(yè)] 作者: 要旨 時(shí)間: 2025-3-21 19:11
書(shū)目名稱(chēng)An Introduction to Mathematical Epidemiology影響因子(影響力)
書(shū)目名稱(chēng)An Introduction to Mathematical Epidemiology影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)An Introduction to Mathematical Epidemiology網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)An Introduction to Mathematical Epidemiology網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)An Introduction to Mathematical Epidemiology被引頻次
書(shū)目名稱(chēng)An Introduction to Mathematical Epidemiology被引頻次學(xué)科排名
書(shū)目名稱(chēng)An Introduction to Mathematical Epidemiology年度引用
書(shū)目名稱(chēng)An Introduction to Mathematical Epidemiology年度引用學(xué)科排名
書(shū)目名稱(chēng)An Introduction to Mathematical Epidemiology讀者反饋
書(shū)目名稱(chēng)An Introduction to Mathematical Epidemiology讀者反饋學(xué)科排名
作者: 客觀 時(shí)間: 2025-3-21 21:05
https://doi.org/10.1007/978-1-4899-7612-3Data Fitting; Epidemic Modeling; Infectious Diseases; Mathematical Epidemiology; Mathematical Modeling; O作者: acolyte 時(shí)間: 2025-3-22 04:20 作者: 打谷工具 時(shí)間: 2025-3-22 06:37
Das urologische Haftpflichtgutachtenr of definitions of key epidemiological concepts are given. The chapter introduces a brief history of the study and modeling of infectious diseases, highlighting the seminal contributions of Sir Ronald Ross. Finally, the chapter gives a description of the modeling process in biology and a list of th作者: 機(jī)構(gòu) 時(shí)間: 2025-3-22 11:08
Die Vorbereitung des Gutachtensc model. Furthermore, it studies the basic mathematical properties of the model. The model is then fitted to data on influenza at an English boarding school, and its parameters are estimated from the data. In addition, a simple SIS model is introduced and reduced to a single-equation epidemic model.作者: 效果 時(shí)間: 2025-3-22 16:01
https://doi.org/10.1007/978-3-662-02163-7del, which results in an SIR model with demography. The model is reduced to a 2 × 2 system and nondimensionalized. General tools for analysis of planar systems are presented and applied to the SIR model. The basic reproduction number is defined, and its mathematical and epidemiological significance 作者: Infelicity 時(shí)間: 2025-3-22 21:04
https://doi.org/10.1007/978-3-662-02163-7ecies model of a vector-borne disease is introduced and studied mathematically. Delay-differential equations are introduced, and the simple vector-borne disease model is recast as a single delay-differential equation model. The simple model is studied both analytically and numerically, and it is sho作者: PLIC 時(shí)間: 2025-3-23 00:35
https://doi.org/10.1007/978-3-662-02163-7atic stage, a model with a carrier stage, a model with quarantine/isolation, a vaccination model, a tuberculosis model with treatment, and models with host and pathogen heterogeneities. The current state-of-the-art tools for the computation of the reproduction number in complex models, including the作者: AVOW 時(shí)間: 2025-3-23 01:35
https://doi.org/10.1007/978-3-662-34044-8ted on examples and MATLAB code for the fitting is given. This chapter also gives a point-by-point list of steps that should be followed when fitting is performed. The concepts of model selection and the Akaike Information Criterion are introduced and illustrated on examples. Computing elasticities 作者: 良心 時(shí)間: 2025-3-23 07:25 作者: Neutral-Spine 時(shí)間: 2025-3-23 09:53 作者: 饒舌的人 時(shí)間: 2025-3-23 15:22
https://doi.org/10.1007/978-3-642-50928-5ain diseases. Different modes of introducing vaccination in models are shown. Imperfect vaccination as a mechanism leading to backward bifurcation and strain replacement is explained. Strain replacement with perfect vaccination is demonstrated. Quarantine and isolation are discussed and included in 作者: dyspareunia 時(shí)間: 2025-3-23 20:25
https://doi.org/10.1007/978-3-642-50928-5 are typically subject to ecological interactions. The chapter first introduces SI and SIR models of species subject to a generalist predator and studies the impact of selective and indiscriminate predation. The classical Lotka–Volterra predator–prey and competition models are reviewed together with作者: BURSA 時(shí)間: 2025-3-23 22:27 作者: Rodent 時(shí)間: 2025-3-24 04:43
https://doi.org/10.1007/978-3-642-94195-5n number and growth rate are derived in the context of age-structured models. Probability of survival is explained and fitted to data. Separable solutions are studied. The chapter also introduces and studies an SIS age-structured model. Intracohort, intercohort, and mixed incidence are discussed. Th作者: interrupt 時(shí)間: 2025-3-24 08:35
https://doi.org/10.1007/978-3-663-02257-2chapter first derives and studies an SIR model with age-since-infection and mass action incidence. A reproduction number is derived, and its threshold properties are explained. A time-since-recovery model is introduced. Destabilization of this model is studied, and oscillatory solutions are presente作者: bizarre 時(shí)間: 2025-3-24 12:08 作者: Urgency 時(shí)間: 2025-3-24 17:51 作者: 是比賽 時(shí)間: 2025-3-24 20:52 作者: 軟膏 時(shí)間: 2025-3-25 00:30
An Introduction to Mathematical Epidemiology978-1-4899-7612-3Series ISSN 0939-2475 Series E-ISSN 2196-9949 作者: 截?cái)?nbsp; 時(shí)間: 2025-3-25 06:14 作者: Maximizer 時(shí)間: 2025-3-25 08:16
Maia MartchevaA comprehensive introduction to mathematical epidemiology accelerating from beginner to advanced research level.Provides detailed introduction to applied dynamical systems while linking to epidemiolog作者: Mawkish 時(shí)間: 2025-3-25 13:06
Texts in Applied Mathematicshttp://image.papertrans.cn/a/image/155340.jpg作者: 嘲弄 時(shí)間: 2025-3-25 18:04
Fitting Models to Data,ted on examples and MATLAB code for the fitting is given. This chapter also gives a point-by-point list of steps that should be followed when fitting is performed. The concepts of model selection and the Akaike Information Criterion are introduced and illustrated on examples. Computing elasticities and sensitivities is explained.作者: 加劇 時(shí)間: 2025-3-25 23:21
Die Vorbereitung des Gutachtens Furthermore, the SIS model is extended to an SIS model with saturating treatment. The analysis of the model with saturating treatment leads to the introduction of the concepts of multiple equilibria and bistability.作者: MURKY 時(shí)間: 2025-3-26 03:00
https://doi.org/10.1007/978-3-662-02163-7pf bifurcation and periodic cycles are introduced and applied to the SIR model with more general incidence. Although much of the material presented in this chapter is basic for ODE books, its application to epidemic models that are characterized by multiple unknown parameters is nontrivial.作者: 得意牛 時(shí)間: 2025-3-26 07:22 作者: 眉毛 時(shí)間: 2025-3-26 09:17 作者: entice 時(shí)間: 2025-3-26 14:59 作者: Multiple 時(shí)間: 2025-3-26 18:42 作者: habitat 時(shí)間: 2025-3-27 00:58 作者: Brain-Imaging 時(shí)間: 2025-3-27 04:00 作者: Aprope 時(shí)間: 2025-3-27 05:43 作者: 英寸 時(shí)間: 2025-3-27 12:16 作者: ORE 時(shí)間: 2025-3-27 15:53
Textbook 2015es for the computation of the basic reproduction number as well as approaches to the epidemiological interpretation of the reproduction number. MATLAB code is included to facilitate the data fitting and the simulation with age-structured models..作者: 衰老 時(shí)間: 2025-3-27 21:48 作者: plasma-cells 時(shí)間: 2025-3-28 01:03 作者: PHIL 時(shí)間: 2025-3-28 03:58
https://doi.org/10.1007/978-3-642-50928-5 their basic mathematical properties. Furthermore, the chapter includes and discusses a Lotka–Volterra predator–prey model with disease in prey and a Lotka–Volterra competition model with disease in one of the species. Hopf bifurcation and chaos are found in some of the ecoepidemiological models.作者: 上下倒置 時(shí)間: 2025-3-28 09:26 作者: 寒冷 時(shí)間: 2025-3-28 13:13
https://doi.org/10.1007/978-3-662-33091-3s are reviewed. The SI epidemic model with diffusion is reduced to a single equation model with diffusion and studied. Equilibria and their stability are discussed. Traveling wave solutions are introduced and illustrated with the SI model. Turing instability is also introduced and illustrated on an SI model with distinct diffusion rates.作者: PRE 時(shí)間: 2025-3-28 18:18
0939-2475 on to applied dynamical systems while linking to epidemiolog.The book is a?comprehensive, self-contained introduction to the mathematical modeling and analysis of infectious diseases. It includes model?building, fitting to data, local and global analysis techniques. Various types of deterministic dy作者: 博愛(ài)家 時(shí)間: 2025-3-28 22:32 作者: 拔出 時(shí)間: 2025-3-28 23:30 作者: Cleave 時(shí)間: 2025-3-29 03:53
https://doi.org/10.1007/978-3-662-02163-7 host and pathogen heterogeneities. The current state-of-the-art tools for the computation of the reproduction number in complex models, including the next-generation approach, are introduced and illustrated on examples.作者: 陳列 時(shí)間: 2025-3-29 11:02 作者: Ganglion 時(shí)間: 2025-3-29 12:03 作者: Indelible 時(shí)間: 2025-3-29 18:10
https://doi.org/10.1007/978-3-642-94195-5ions are studied. The chapter also introduces and studies an SIS age-structured model. Intracohort, intercohort, and mixed incidence are discussed. The reproduction number in the age-structured case is derived. Numerical methods for age-structured models are included.作者: bronchodilator 時(shí)間: 2025-3-29 23:18 作者: 思考 時(shí)間: 2025-3-30 02:11
https://doi.org/10.1007/978-3-663-02257-2ng data, the chapter argues that the transmission rate is not a linear function of the viral load. The epidemiological reproduction number and prevalence of HIV are derived and studied in terms of the within-host viral load. In addition, a nested immuno-epidemiological model with immune response in the within-host model is introduced and studied.作者: atrophy 時(shí)間: 2025-3-30 04:40 作者: 幻影 時(shí)間: 2025-3-30 12:10
Vector-Borne Diseases,ne disease model is recast as a single delay-differential equation model. The simple model is studied both analytically and numerically, and it is shown to exhibit Hopf bifurcation and chaos. A couple of more complex ODE or DDE models of vector-borne diseases are studied.作者: jaunty 時(shí)間: 2025-3-30 15:44 作者: tooth-decay 時(shí)間: 2025-3-30 18:42
Analysis of Complex ODE Epidemic Models: Global Stability,illustrated on the SIR model with isolation. The concept of backward bifurcation is introduced and illustrated on an SEI model with standard incidence. Castillo-Chavez and Song Theorem for detecting backward bifurcation in higher dimensions is introduced and illustrated on the SEI example.作者: defuse 時(shí)間: 2025-3-30 21:40 作者: 銼屑 時(shí)間: 2025-3-31 02:27
Age-Structured Epidemic Models,ions are studied. The chapter also introduces and studies an SIS age-structured model. Intracohort, intercohort, and mixed incidence are discussed. The reproduction number in the age-structured case is derived. Numerical methods for age-structured models are included.作者: 小官 時(shí)間: 2025-3-31 06:28 作者: flutter 時(shí)間: 2025-3-31 12:50
Immuno-Epidemiological Modeling,ng data, the chapter argues that the transmission rate is not a linear function of the viral load. The epidemiological reproduction number and prevalence of HIV are derived and studied in terms of the within-host viral load. In addition, a nested immuno-epidemiological model with immune response in the within-host model is introduced and studied.作者: Banquet 時(shí)間: 2025-3-31 16:50
Introduction,r of definitions of key epidemiological concepts are given. The chapter introduces a brief history of the study and modeling of infectious diseases, highlighting the seminal contributions of Sir Ronald Ross. Finally, the chapter gives a description of the modeling process in biology and a list of th
