Li Xiao-Ping, Wang Ye, Khan Muhammad Altaf, Alshahrani Mohammad Y, Muhammad Taseer
College of Mathematics and Information Science, Xiangnan University, Chenzhou 423000, P. R. China.
Department of Mathematics, Huzhou University, Huzhou 313000, P. R. China.
Results Phys. 2021 Oct;29:104705. doi: 10.1016/j.rinp.2021.104705. Epub 2021 Aug 22.
The coronavirus still an epidemic in most countries of the world and put the people in danger with so many infected cases and death. Considering the third wave of corona virus infection and to determine the peak of the infection curve, we suggest a new mathematical model with reported cases from March 06, 2021, till April 30, 2021. The model provides an accurate fitting to the suggested data, and the basic reproduction number calculated to be . We study the stability of the model and show that the model is locally as well as globally asymptotically stable when , for the disease free case. The parameters that are sensitive to the basic reproduction number, their effect on the model variables are shown graphically. We can observe that the suggested parameters can decrease efficiently the infection cases of the third wave in Pakistan. Further, our model suggests that the infection peak is to be May 06, 2021. The present results determine that the model can be useful in order to predict other countries data.
冠状病毒在世界上大多数国家仍是一种流行病,众多感染病例和死亡使人们处于危险之中。考虑到新冠病毒感染的第三波疫情并确定感染曲线的峰值,我们基于2021年3月6日至2021年4月30日的报告病例提出了一个新的数学模型。该模型对所建议的数据提供了精确拟合,计算出的基本再生数为 。我们研究了该模型的稳定性,并表明在无病情况下,当 时,该模型局部和全局渐近稳定。对基本再生数敏感的参数及其对模型变量的影响以图形方式展示。我们可以观察到,所建议的参数能够有效减少巴基斯坦第三波疫情的感染病例。此外,我们的模型表明感染峰值出现在2021年5月6日。目前的结果表明该模型可用于预测其他国家的数据。