Abstract

The COVID-19 pandemic is a curse and a threat to global health, development, the economy, and peaceful society because of its massive transmission and high rates of mutation. More than 220 countries have been affected by COVID-19. The world is now facing a drastic situation because of this ongoing virus. Bangladesh is also dealing with this issue, and due to its dense population, it is particularly vulnerable to the spread of COVID-19. Recently, many non-linear systems have been proposed to solve the SIR (Susceptible, Infected, and Recovered) model for predicting Coronavirus cases. In this paper, we have discussed the fractional order SIR epidemic model of a non-fatal disease in a population of a constant size. Using the Laplace Adomian Decomposition method, we get an approximate solution to the model. To predict the dynamic transmission of COVID-19 in Bangladesh, we provide a numerical argument based on real data. We also conducted a comparative analysis among susceptible, infected, and recovered people. Furthermore, the most sensitive parameters for the Basic Reproduction Number (R0) are graphically presented, and the impact of the compartments on the transmission dynamics of the COVID-19 pandemic is thoroughly investigated.

Highlights

  • In December 2019, the virus resurfaced in Wuhan, China, prompting the World Health Organization (WHO) to proclaim COVID-19 as a pandemic [1] [2]

  • Bangladesh is dealing with this issue, and due to its dense population, it is vulnerable to the spread of COVID-19

  • To predict the dynamic transmission of COVID-19 in Bangladesh, we provide a numerical argument based on real data

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Summary

Introduction

In December 2019, the virus resurfaced in Wuhan, China, prompting the World Health Organization (WHO) to proclaim COVID-19 as a pandemic [1] [2]. The COVID-19 outbreak is causing havoc in people’s personal lives all over the world, as well as a dire economic and social situation. This RNA-based virus is a member of the family of Coronaviridae that causes Severe Acute Respiratory Syndrome (SARS) [3] [4]. Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), the virus that causes COVID-19, is phylogenetically the most closely related to bat coronaviruses, with a 96% similarity to the virus found in horseshoe bats [6] [7] [8]. Most countries have halted all activities as a precaution, and they encourage people to stay at home and avoid crowds Experts recommend flattening it out with social distance. Our efforts might be able to predict the COVID-9 pandemic situation, which would stir up awareness among the people

An Overview of SIR Epidemic Model
Preliminaries
Mathematical Modelling and Solution of the Fractional Order SIR Model
Data-Driven Forecasting of COVID-19 Pandemic in Bangladesh
Sensitivity Analysis with Respect to the Basic Reproduction Number
Numerical Discussions
Findings
Conclusion
Full Text
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