Comparative Analysis of Mathematical Models for COVID-19 Dynamics (2020–2022)
收藏DataCite Commons2025-11-20 更新2026-05-04 收录
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资源简介：
These four works apply nonlinear compartmental models ODE, fractional ODE, hybrid ODE–ML, and ODE/PDE systems to study COVID-19 transmission, vaccination, and control strategies. Their focuses differ: policy-driven forecasting, evaluation of intervention measures, fractional-order modeling of Canadian waves, and reinfection with spatial diffusion. Together, they highlight how model architecture and data inputs shape predictive accuracy and inform public-health decisions.
提供机构：
Open Research Knowledge Graph
创建时间：
2025-11-20
