Mathematical Modeling in Bioscience: Theory and Applications provides readers with the tools and techniques needed for mathematical modeling in bioscience through a wide range of novel and intriguing topics. The book concentrates on larger elements of mathematical modeling in bioscience, including topics such as modeling of the Topp-Leone new power generalized Weibull-G distribution family, vector-borne disease modeling, transmission modeling of SARS-COV-2 among other infectious diseases, pattern formulation models, compartmental models for HIV/AIDS transmission, population models, irrigation scheduling models, and predator-prey models. Readers will discover a variety of new methods, approaches, and techniques, as well as a wide range of applications demonstrating key concepts in bioscience modeling. The book provides a leading-edge resource for researchers in a variety of scientific fields who are interested in mathematical modeling, including mathematics, statistics, biology, biomedical engineering, computer science, and applied sciences.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. ix 7. 1: Analysis of the impact of time delay incorporation in mathematical models of cellular population dynamics - p. 1 8. 2: Alternative food for predators: elucidating their impact on a predation model with Allee effect on prey - p. 19 9. 3: Modeling and analysis of an eco-epidemiological model with Caputo–Fabrizio derivative - p. 57 10. 4: The Topp–Leone-exponentiated half logistic-generalized-G family of distributions with applications - p. 77 11. 5: A mathematical model for the dynamics of visceral leishmaniasis disease with time delay - p. 107 12. 6: Fractalization through stochasticization processes in epileptic dynamics - p. 123 13. 7: Mathematical model of Alzheimer disease using the nonlocal and nonsingular fractional operators - p. 141 14. 8: From bubble nucleation to oscillatory denaturation: understanding complex DNA dynamics through nonlinear modeling - p. 175 15. 9: Inertial projective Mann algorithm for split equilibrium problems in Parkinson's screening - p. 191 16. Index - p. 211
Mathematical Modeling in Bioscience: Theory and Applications provides readers with the tools and techniques needed for mathematical modeling in bioscience through a wide range of novel and intriguing topics. The book concentrates on larger elements of mathematical modeling in bioscience, including topics such as modeling of the Topp-Leone new power generalized Weibull-G distribution family, vector-borne disease modeling, transmission modeling of SARS-COV-2 among other infectious diseases, pattern formulation models, compartmental models for HIV/AIDS transmission, population models, irrigation scheduling models, and predator-prey models. Readers will discover a variety of new methods, approaches, and techniques, as well as a wide range of applications demonstrating key concepts in bioscience modeling. The book provides a leading-edge resource for researchers in a variety of scientific fields who are interested in mathematical modeling, including mathematics, statistics, biology, biomedical engineering, computer science, and applied sciences.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. ix 7. 1: Analysis of the impact of time delay incorporation in mathematical models of cellular population dynamics - p. 1 8. 2: Alternative food for predators: elucidating their impact on a predation model with Allee effect on prey - p. 19 9. 3: Modeling and analysis of an eco-epidemiological model with Caputo–Fabrizio derivative - p. 57 10. 4: The Topp–Leone-exponentiated half logistic-generalized-G family of distributions with applications - p. 77 11. 5: A mathematical model for the dynamics of visceral leishmaniasis disease with time delay - p. 107 12. 6: Fractalization through stochasticization processes in epileptic dynamics - p. 123 13. 7: Mathematical model of Alzheimer disease using the nonlocal and nonsingular fractional operators - p. 141 14. 8: From bubble nucleation to oscillatory denaturation: understanding complex DNA dynamics through nonlinear modeling - p. 175 15. 9: Inertial projective Mann algorithm for split equilibrium problems in Parkinson's screening - p. 191 16. Index - p. 211
