Nabi Khondoker Nazmoon, Kumar Pushpendra, Erturk Vedat Suat
Department of Mathematics, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.
Department of Mathematics and Statistics, School of Basic and Applied Sciences, Central University of Punjab, Bathinda, Punjab 151001, India.
Chaos Solitons Fractals. 2021 Apr;145:110689. doi: 10.1016/j.chaos.2021.110689. Epub 2021 Jan 28.
When the entire world is eagerly waiting for a safe, effective and widely available COVID-19 vaccine, unprecedented spikes of new cases are evident in numerous countries. To gain a deeper understanding about the future dynamics of COVID-19, a compartmental mathematical model has been proposed in this paper incorporating all possible non-pharmaceutical intervention strategies. Model parameters have been calibrated using sophisticated trust-region-reflective algorithm and short-term projection results have been illustrated for Bangladesh and India. Control reproduction numbers have been calculated in order to get insights about the current epidemic scenario in the above-mentioned countries. Forecasting results depict that the aforesaid countries are having downward trends in daily COVID-19 cases. Nevertheless, as the pandemic is not over in any country, it is highly recommended to use efficacious face coverings and maintain strict physical distancing in public gatherings. All necessary graphical simulations have been performed with the help of Caputo-Fabrizio fractional derivatives. In addition, optimal control strategies for fractional system have been designed and the existence of unique solution has also been showed using Picard-Lindelof technique. Finally, unconditional stability of the fractional numerical technique has been proved.
当全世界都在急切等待一种安全、有效且广泛可用的新冠疫苗时,许多国家出现了前所未有的新增病例激增情况。为了更深入地了解新冠疫情的未来动态,本文提出了一个包含所有可能的非药物干预策略的 compartmental 数学模型。使用复杂的信赖域反射算法对模型参数进行了校准,并给出了孟加拉国和印度的短期预测结果。计算了控制再生数,以便深入了解上述国家当前的疫情形势。预测结果表明,上述国家的每日新冠病例呈下降趋势。然而,由于疫情在任何国家都尚未结束,强烈建议在公共场合使用有效的面罩并保持严格的物理距离。借助 Caputo-Fabrizio 分数阶导数进行了所有必要的图形模拟。此外,设计了分数阶系统的最优控制策略,并使用皮卡-林德洛夫技术证明了唯一解的存在性。最后,证明了分数阶数值技术的无条件稳定性。