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Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics
Editor
Listed:
- Rubem P. Mondaini(International Institute for Interdisciplinary, Mathematical and Biological Sciences, BIOMAT Consortium)
Abstract
No abstract is available for this item.
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-031-33050-6
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Book Chapters
The following chapters of this book are listed in IDEAS- Sándor Kovács & Szilvia György & Noémi Gyúró, 2023. "Dynamics of an SIS Epidemic Model with No Vertical Transmission," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 1-15, Springer.
- Adarsh Prabhakaran & Somdatta Sinha, 2023. "Infection Spread in Populations: An Agent-Based Model," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 17-27, Springer.
- I. Granata & M. Giordano & L. Maddalena & M. Manzo & M. R. Guarracino, 2023. "Network-Based Computational Modeling to Unravel Gene Essentiality," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 29-56, Springer.
- Akriti Srivastava & Prashant K. Srivastava, 2023. "Nonlinear Dynamics in an SIR Model with Ratio-Dependent Incidence and Holling Type III Treatment Rate Functions," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 57-72, Springer.
- Anal Chatterjee & Samares Pal, 2023. "Comparative Study of Deterministic and Stochastic Predator Prey System Incorporating a Prey Refuge," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 73-98, Springer.
- Zakaria Hajhouji & Majda El Younoussi & Khalid Hattaf & Noura Yousfi, 2023. "Mathematical Modeling and Numerical Analysis of HIV-1 Infection with Long-Lived Infected Cells During Combination Therapy and Humoral Immunity," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 99-123, Springer.
- Majda El Younoussi & Zakaria Hajhouji & Khalid Hattaf & Noura Yousfi, 2023. "A Reaction-Diffusion Fractional Model for Cancer Virotherapy with Immune Response and Hattaf Time-Fractional Derivative," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 125-136, Springer.
- M. F. Carfora, 2023. "A Review of Stochastic Models of Neuronal Dynamics: From a Single Neuron to Networks," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 137-152, Springer.
- Anal Chatterjee & Suchandra Ganguly, 2023. "Modeling the Impact of Media Coverage on the Spread of Infectious Diseases: The Curse of the Twenty-First Century," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 153-169, Springer.
- Roberto Macrelli & Margherita Carletti & Vicenzo Fano, 2023. "Cultural and Biological Transmission: A Simple Case of Evolutionary Discrete Dynamics," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 171-180, Springer.
- R. P. Mondaini & S. C. de Albuquerque Neto, 2023. "The Maximal Extension of the Strict Concavity Region on the Parameter Space for Sharma-Mittal Entropy Measures: II," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 181-196, Springer.
- Sasanka Shekhar Maity & Pankaj Kumar Tiwari & Nanda Das & Samares Pal, 2023. "An Eco-Epidemic Predator-Prey Model with Selective Predation and Time Delays," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 197-214, Springer.
- Golsa Sayyar & Gergely Röst, 2023. "Epidemic Patterns of Emerging Variants with Dynamical Social Distancing," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 215-232, Springer.
- Karam Allali, 2023. "On Time-Delayed Two-Strain Epidemic Model with General Incidence Rates and Therapy," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 233-251, Springer.
- Evans Kiptoo Korir & Zsolt Vizi, 2023. "Clustering of Countries Based on the Associated Social Contact Patterns in Epidemiological Modelling," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 253-271, Springer.
- Luca Bondi & Jacopo Ferri & Nicolò Giordanengo & Ezio Venturino, 2023. "Multiple Predation on Prey Herding and Counteracting the Hunting," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 273-290, Springer.
- Antonios Fytopoulos & Panos M. Pardalos, 2023. "Benefits of Application of Process Optimization in Pharmaceutical Manufacturing: A Panoramic View," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 291-304, Springer.
- Yuri Vassilevski & Timur Gamilov & Alexander Danilov & German Kopytov & Sergey Simakov, 2023. "A Web-Based Non-invasive Estimation of Fractional Flow Reserve (FFR): Models, Algorithms, and Application in Diagnostics," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 305-316, Springer.
- A. Mukhopadhyay & Ganesh Bagler & Somdatta Sinha, 2023. "Perturbing Coupled Multivariable Systems," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 319-333, Springer.
- Daniel Martins Silva & Argimiro Resende Secchi, 2023. "Analysis of Covid-19 Dynamics in Brazil by Recursive State and Parameter Estimations," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 335-374, Springer.
- H. Lefraich, 2023. "Computational Modeling of Membrane Blockage via Precipitation: A 2D Extended Poisson-Nernst-Planck Model," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 375-388, Springer.
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