论文标题
一种有效的显式方法,用于预测未发现的传染性的共同传播:喀麦隆的情况
An efficient explicit approach for predicting the Covid-19 spreading with undetected infectious: The case of Cameroon
论文作者
论文摘要
本文考虑了一种明确的数值方案,用于解决Covid-19的传播的数学模型,并没有发现的传染病病例。我们分析了$ l^{\ infty} $ - norm-norm中新方法的稳定性和收敛速率。提出的方法耗时较少。此外,该方法是稳定的,至少是二阶收敛,可以用作整合普通微分方程的通用系统的强大工具。提出和讨论了一系列考虑喀麦隆情况的数值证据。
This paper considers an explicit numerical scheme for solving the mathematical model of the propagation of Covid-19 epidemic with undetected infectious cases. We analyze the stability and convergence rate of the new approach in $L^{\infty}$-norm. The proposed method is less time consuming. Furthermore, the method is stable, at least second-order convergent and can serve as a robust tool for the integration of general systems of ordinary differential equations. A wide set of numerical evidences which consider the case of Cameroon are presented and discussed.