A quantitative and qualitative analysis of the COVID-19 pandemic model

Chaos, Solitons, and Fractals
Sarbaz H A KhoshnawFaisal Sultan

Abstract

Global efforts around the world are focused on to discuss several health care strategies for minimizing the impact of the new coronavirus (COVID-19) on the community. As it is clear that this virus becomes a public health threat and spreading easily among individuals. Mathematical models with computational simulations are effective tools that help global efforts to estimate key transmission parameters and further improvements for controlling this disease. This is an infectious disease and can be modeled as a system of non-linear differential equations with reaction rates. This work reviews and develops some suggested models for the COVID-19 that can address important questions about global health care and suggest important notes. Then, we suggest an updated model that includes a system of differential equations with transmission parameters. Some key computational simulations and sensitivity analysis are investigated. Also, the local sensitivities for each model state concerning the model parameters are computed using three different techniques: non-normalizations, half normalizations, and full normalizations. Results based on the computational simulations show that the model dynamics are significantly changed for different key ...Continue Reading

Citations

Nov 25, 2020·Mathematical Methods in the Applied Sciences·Pushpendra Kumar, Vedat Suat Erturk
Mar 2, 2021·European Physical Journal Plus·Afeez AbidemiNur Arina Bazilah Aziz
Sep 29, 2020·Chaos, Solitons, and Fractals·Vedat Suat Erturk, Pushpendra Kumar
Aug 17, 2021·Archives of Computational Methods in Engineering : State of the Art Reviews·Asif AfzalIrfan Anjum Badruddin

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