This book examines the post-COVID-19 epidemiological impacts using a mathematical modeling framework. A six-compartment model is developed to describe the progression of the disease, dividing the population into susceptible, exposed, infected, treated, recovered, and deceased individuals. Through sensitivity analysis, the study identified d key drivers of disease transmission, showing that higher contact rates increase infection spread, while improved treatment rates enhance recovery and reduce disease burden. Numerical simulations conducted in MATLAB further demonstrate that reducing contact with infected individuals and infectious surfaces, combined with strong treatment strategies and adherence to public health measures, can significantly limit future outbreaks.
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Dr. Agbata, Benedict Celestine - lecturer of Mathematics and Statistics at Confluence University (Nigeria). He specializes in mathematical epidemiology and computational modeling, studying infectious diseases and applying quantitative methods to public health. His work develops predictive models, analyzes data and supports evidence-based decisions.
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Taschenbuch. Zustand: Neu. Understanding Post-COVID-19 SYSTEM: A Mathematical Modeling | Beyond COVID-19: Mathematical Insights into Epidemiological andSocioeconomic Dynamics | Agbata Benedict Celestine | Taschenbuch | Englisch | 2026 | GlobeEdit | EAN 9786209882210 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Artikel-Nr. 135390139
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