Forecasting the Pandemic COVID-19 in India: A Mathematical Approach

被引:4
作者
Mandal, Manotosh [1 ,3 ]
Jana, Soovoojeet [2 ]
Majee, Suvankar [3 ]
Khatua, Anupam [3 ]
Kar, T. K. [3 ]
机构
[1] Tamralipta Mahavidyalaya, Dept Math, Tamluk 721636, W Bengal, India
[2] Ramsaday Coll, Dept Math, Howrah 711401, W Bengal, India
[3] Indian Inst Engn Sci & Technol, Dept Math, Howrah 711103, W Bengal, India
关键词
Epidemiological models; COVID-19; pandemic; Basic reproduction number; Transcritical bifurcation; Sensitivity analysis; Control of disease; SIR EPIDEMIC MODEL; DISEASE; TUBERCULOSIS; COMPUTATION; BIFURCATION; STABILITY;
D O I
10.5890/JAND.2022.09.004
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Due to the unavailability of proper antiviral therapies and high disease transmission rates, the pandemic COVID-19 is still increasing at a high rate in many countries. In each of the three countries, the USA, Brazil, and India, the COVID-19 positive cases have been crossed one million. With high population density and higher percentages of migrating workers has enabled India to be vulnerable to the disease quite more than other affected countries. In this paper, we have proposed a mathematical model with the help of a system of first-order ordinary differential equations and analyzed the model in the context of the COVID-19 pandemic. We have determined the expression of the basic reproduction number and relates it to establishing the disease-free equilibrium point's asymptotic stability and endemic equilibrium point. As it has been observed that only ten states and union territories are carrying more than 70% infection in India, we have predicted long-term scenarios of the COVID-19 positive cases on those 10 states and India until the end of the year 2020. (C) 2022 L&H Scientific Publishing, LLC. All rights reserved.
引用
收藏
页码:549 / 571
页数:23
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