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

Sarbaz H.A. Khoshnaw, Muhammad Shahzad, Mehboob Ali and Faisal Sultan

Chaos, Solitons & Fractals, 2020, vol. 138, issue C

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.

Keywords: Coronavirus disease (COVID-19); Mathematical modeling; Model reduction; Sensitivity analysis; Computational simulations (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:138:y:2020:i:c:s0960077920303313

DOI: 10.1016/j.chaos.2020.109932

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