A Year Into the Pandemic: A Mathematical Model and Study of COVID-19 in India

S. Srikanth, S. Sneha, N. Padmapriya
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Abstract

COVID-19 has been declared as a global pandemic by the World Health Organization (WHO) since its outbreak in December 2019. In India, as of May 12th 2021, the total number of coronavirus cases and associated deaths are 2,35,57,676 and 2,56,617 respectively. To control the spread of the virus effectively, social distancing, self-isolation and quarantine, lockdowns and mass inoculation are vital. In this paper we propose a deterministic epidemic model which is an extension of the SEIR model to understand the disease dynamics.The proposed model has eight compartments, Susceptible1, Susceptible2, Exposed, Infected, Quarantined, Isolated, Recovered and Dead and is termed as the S1S2EIQJRD model. The basic reproduction number Ris derived for the proposed model and it is shown that for the disease dies out and for the disease is endemic. Numerical simulations for the growth of the virus across India through the span of the outbreak are obtained. The simulation is done on real data and the results obtained may be used to make suitable inferences about the dynamics of the disease and appropriate measures can be taken to control its spread.
大流行的一年:印度COVID-19的数学模型和研究
自2019年12月新冠肺炎疫情爆发以来,世界卫生组织(世卫组织)已宣布其为全球大流行。在印度,截至2021年5月12日,冠状病毒病例总数和相关死亡人数分别为2,35,57,676和2,56,617。为有效控制疫情传播,保持社会距离、自我隔离检疫、居家隔离和大规模接种至关重要。在本文中,我们提出了一个确定性流行病模型,它是SEIR模型的扩展,以理解疾病动力学。提出的模型有8个隔间,分别是易感区1、易感区2、暴露区、感染区、隔离区、隔离区、恢复区和死亡区,被称为S1S2EIQJRD模型。为所提出的模型导出了基本繁殖数,并表明该疾病会灭绝,并且该疾病是地方性的。在整个暴发期间,获得了病毒在印度各地生长的数值模拟。对实际数据进行了模拟,所得结果可用于对疾病的动态进行适当的推断,并可采取适当的措施来控制其传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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