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Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells - Rubem P. Mondaini
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Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells - new book

2020, ISBN: 9783030732417

This volume gathers together selected, peer-reviewed papers presented at the BIOMAT 2020 International Symposium, which was virtually held on November 1-6, 2020, with an organization staf… More...

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Trends in Biomathematics - >100
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>100:

Trends in Biomathematics - new book

2020, ISBN: 9783030732417

This volume gathers together selected, peer-reviewed papers presented at the BIOMAT 2020 International Symposium, which was virtually held on November 1-6, 2020, with an organization staf… More...

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Trends in Biomathematics: Chaos and Control in Epidemics Ecosystems and Cells
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Trends in Biomathematics: Chaos and Control in Epidemics Ecosystems and Cells - new book

2020

ISBN: 9783030732417

Trends in Biomathematics: Chaos and Control in Epidemics Ecosystems and Cells - Selected Works from the 20th BIOMAT Consortium Lectures Rio de Janeiro Brazil 2020: ab 138.99 € eBooks > Fa… More...

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Trends in Biomathematics: Chaos and Control in Epidemics Ecosystems and Cells
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Trends in Biomathematics: Chaos and Control in Epidemics Ecosystems and Cells - new book

2020, ISBN: 9783030732417

Trends in Biomathematics: Chaos and Control in Epidemics Ecosystems and Cells - Selected Works from the 20th BIOMAT Consortium Lectures Rio de Janeiro Brazil 2020: ab 128.49 € eBooks > Fa… More...

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Details of the book - Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells


EAN (ISBN-13): 9783030732417
Publishing year: 2020
Publisher: Springer Shop

Book in our database since 2021-03-24T03:16:25-04:00 (New York)
Detail page last modified on 2023-12-01T08:40:20-05:00 (New York)
ISBN/EAN: 9783030732417

ISBN - alternate spelling:
978-3-030-73241-7


Information from Publisher

Author: Rubem P. Mondaini
Title: Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells - Selected Works from the 20th BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2020
Publisher: Springer; Springer International Publishing
395 Pages
Publishing year: 2021-07-27
Cham; CH
Language: English
139,09 € (DE)
143,00 € (AT)
165,50 CHF (CH)
Available
XI, 395 p. 111 illus., 94 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Mathematik/Sonstiges; DV-gestützte Biologie/Bioinformatik; Verstehen; COVID-19; HPV; Ebola; Coronavirus; mathematical modelling; computational modelling; predator-prey system; SLIR model; Lotka-Volterra biological model; BIOMAT Lectures; BIOMAT Consortium; Macroalgae-borne pathogen; Michaelis-Menten functional response; Phytoplankton-zooplankton interaction model; replicator systems; human papillomavirus; cell proliferation model; Hepatitis B virus infection; agent-based model; BCL2; B; Mathematical and Computational Biology; Ecology; Epidemiology; Ecology; Mathematical and Computational Biology; Population Dynamics; Epidemiology; Ecology; Mathematics and Statistics; Ökologie, Biosphäre; Epidemiologie und medizinische Statistik; BB

1- Mathematical Modelling of Macroalgae-borne Pathogen Transmission in Corals (Susmita Halder, Samares Pal, Joydeb Bhattacharyya).- 2- Oscillatory Behavior of a Delayed Ratio-Dependent Predator-Prey System with Michaelis-Menten Functional Response (Sándor Kovács, Szilvia György, Noémi Gyúró).- 3- Dynamical Analysis of Phytoplankton-Zooplankton Interaction Model by Using Deterministic and Stochastic Approach (Anal Chatterjee, Samares Pal).- 4- Predicting the COVID-19 Spread using Compartmental Model and Extreme Value Theory with Application to Egypt and Iraq (Mahmoud A. Ibrahim, Amenah Al-Najafi), Attila Dénes).- 5- Geometry of Fitness Surfaces and Dynamics of Replicator Systems (A.S. Bratus, A.S. Novozhilov, T. Yakushkina).- 6- In Host Dynamics of the Human Papillomavirus (HPV) in the Presence of Immune Response (Z. Chazuka, M. Moremedi, E. Rapoo).- 7- Global Properties and Optimal Control Strategies of a Generalized Ebola Virus Disease Model (Zineb El Rhoubari, Hajar Besbassi, Khalid Hattaf, Noura Yousfi).- 8- On Whole Graph Embedding Techniques (L. Maddalena, I. Manipur, M. Manzo, M.R. Guarracino).- 9- Semigroup Approaches of Cell Proliferation Models (Y. El Alaoui, L. Alaoui).- 10- Viability Analysis of Labor Force in an Agroforestry System (Ingrid M. Cholo Camargo, J. A. Amador Moncada, C. A. Peña Rincón, G. Olivart Tost).- 11- Modeling COVID-19 Considering Asymptomatic Cases and Avoided Contacts (Iulia Martina Bulai).- 13- The Jaccard Symbol and its Usefulness on the Derivation of Amino Acid Distributions in Protein Domain Families (R.P. Mondaini, S.C. de Albuquerque Neto).- 14- When Ideas Go Viral - Complex Bifurcations in a Two-Stage Transmission Model (Julian Heidecke, Maria Vittoria Barbarossa).- 15- Dynamic Analysis of SLIR Model describing the Effectiveness of Quarantine against the Spread of COVID-19 (Omar Khyar, Karam Allali).- 16- Non-FSI 3D Hemodynamic Simulations in Time-Dependent Domains (Y.V. Vassilevski, A.A. Danilov, T.K. Dobroserdova, A.V. Lozovskiy).- 17- Co-Existence of Chaos and Control in Generalized Lotka-Volterra Biological Model: A Comprehensive Analysis (Taqseer Khan, Harindri Chaudhary).- 18- Global Dynamics of a Model for Anaerobic Wastewater Treatment Process (S. Barua, A. Dénes).- 19- Spatiotemporal Dynamics of Fractional Hepatitis B Virus Infection Model with Humoral and Cellular Immunity (Moussa Bachraoui, Khalid Hattaf, Noura Yousfi).- 20- A 3D Fractional Step Computational Modeling of Nerve Impulse Transmission through an Axonal Membrane: Incorporating Calcium Buffer and Extrusion (H. Lefraich).- 21- COVID-19 Superspreading Events Network Analysis from Agent-Based Model with Mobility Restriction (Larissa L. Lima, A.P.F. Atman).- 22- Distinct Prognostic Values of BCL2 Anti-apoptotic members in lung cancer:  An In silico Analysis (Pooja Mittal, Archana Singh, Indrakant Kumar Singh).- 23- Economic Development Process: A Compartmental Analysis of a Model with Two Delays (A.B. Ndione, A. Mendy, C.A. Onana).

Rubem P. Mondaini

Includes studies on infection modelling of COVID-19 and novel Coronavirus spreads

Brings more biological models, like the Ebola disease, to contexts of chaos and control

Extends modeling to topics as agroforestry, economic development, and wastewater processes



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