This book analyzed a deterministic mathematical model to study COVID-19 transmission in Nigeria, comparing Omicron and Delta variants. It analyzes the system's stability and shows that reducing the basic reproduction number below 1 leads to stable disease-free or controlled endemic states. Using real Nigerian data and MATLAB simulations, it finds that higher detection, better hospitalization of symptomatic cases, and strong preventive measures significantly reduce infections. Omicron produced more infections than Delta, with an early peak around day 20 before both declined. Regression results show a weak but positive link between cases and deaths, with overall low mortality. The study concludes that rapid detection, treatment, and prevention are key to controlling variant-driven outbreaks and provides a predictive framework for their dynamics.
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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. Advanced Mathematical Modeling of COVID-19 Omicron and delta Variant | Advanced Mathematical modeling of COVID-19 Omicron and Delta in Public Health with Predictive Tools | Agbata Benedict Celestine | Taschenbuch | Englisch | 2026 | GlobeEdit | EAN 9786209964626 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Artikel-Nr. 135407762
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