Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Mathematical Model of COVID-19 Using Fractional Derivative: Outbreak in India with Dynamics of Transmission and Control

Version 1 : Received: 7 April 2020 / Approved: 9 April 2020 / Online: 9 April 2020 (08:12:53 CEST)

A peer-reviewed article of this Preprint also exists.

Shaikh, A.S., Shaikh, I.N. & Nisar, K.S. A mathematical model of COVID-19 using fractional derivative: outbreak in India with dynamics of transmission and control. Adv Differ Equ 2020, 373 (2020). https://doi.org/10.1186/s13662-020-02834-3 Shaikh, A.S., Shaikh, I.N. & Nisar, K.S. A mathematical model of COVID-19 using fractional derivative: outbreak in India with dynamics of transmission and control. Adv Differ Equ 2020, 373 (2020). https://doi.org/10.1186/s13662-020-02834-3

Journal reference: Advances in Difference Equations 2020
DOI: 10.1186/s13662-020-02834-3

Abstract

Since the first case of 2019 novel coronavirus disease (COVID-19) detected on Jan 30, 2020, in India, the number of cases rapidly increased to 3819 cases including 106 deaths as of 5 April 2020. Taking this into account, in the present work, we are studying a Bats-Hosts-Reservoir-People transmission fractional-order COVID-19 model for simulating the potential transmission with the thought of individual social response and control measures by the government. The real data available about infectious cases from $14^{th}$ March to $26^{th}$ March 2020 is analysed and accordingly various parameters of the model are estimated or fitted. The Picard successive approximation technique and Banach's fixed point theory have been used for verification of the existence and stability criteria of the model. Numerical computations are done utilizing the iterative Laplace transform method. In the end, we illustrate the obtained results graphically. The purpose of this study is to estimate the effectiveness of preventive measures, predicting future outbreaks and potential control strategies using the mathematical model.

Subject Areas

mathematical models; coronavirus; caputo-fabrizio derivative; basic reproduction number; existence and stability; numerical simulations

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