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Understanding COVID-19 Transmission Dynamics with Global Data-Driven Estimation

Understanding COVID-19 Transmission Dynamics with Global Data-Driven Estimation

Agbata Benedict Celestine

37,28 €
IVA incluido
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Editorial:
Eliva Press
Año de edición:
2026
Materia
Medicina: cuestiones generales
ISBN:
9789999348782
37,28 €
IVA incluido
Disponible

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Sobre IBD

This book presents a data-driven mathematical model of COVID-19 that includes vaccination, waning immunity, reinfection, and multiple transmission pathways. Using U.S.A hospital data (2021-2023), the model is calibrated and validated to reflect real epidemic trends. Results show that vaccination reduces infections and hospitalizations, but waning immunity weakens long-term protection. Sensitivity analysis identifies quarantine of exposed individuals as the most effective control strategy. The study also finds that COVID-19 dynamics can exhibit backward bifurcation, meaning elimination requires sustained combined interventions, not just reducing the reproduction number below one.

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