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              <text>A Compartmental Mathematical Model of Novel Coronavirus-19 Transmission Dynamics</text>
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              <text>COVID-19; Disease; Reproduction Number; Sensitivity Analysis; Stability Analysis</text>
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              <text>The COVID-19 pandemic has spread quickly throughout the world, posing a serious threat to human-to-human transmission. The novel coronavirus pandemic is described quantitatively in this paper using a mathematical model of COVID-19 driven by a system of ordinary differential equations. The suggested model is used to provide predictions regarding the behavior of a COVID-19 outbreak over a shorter time frame. It is demonstrated that the system of model equations has a unique and existing solution. Furthermore, the answer is positive and bounded. Thus, it is argued that the model created and discussed in this work is both mathematically and biologically sound. A threshold parameter that controls the disease transmission is used in a qualitative analysis of the model to confirm the existence and stability of disease-free and endemic equilibrium points. Additionally, the key parameters undergo sensitivity analysis to ascertain their relative significance and potential influence on the COVID-19 virus dynamics.  2024 NSP Natural Sciences Publishing Cor.</text>
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              <text>Batu G.B.; Gurmu E.D.; Veeresha P.; Ahmed M.H.</text>
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              <text>Applied Mathematics and Information Sciences, Vol-18, No. 6, pp. 1367-1379.</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.18576/amis/180616" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.18576/amis/180616&lt;/a&gt;
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              <text>ISSN: 19350090</text>
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              <text>Batu G.B., Department of Mathematics, Natural Science College, Arsi University, Asella, Ethiopia; Gurmu E.D., Department of Applied Mathematics, Natural Science College, Adama Science and Technology University, Adama, Ethiopia; Veeresha P., Department of Mathematics, Natural Science College, CHRIST (Deemed to be University, Bengaluru, 560029, India; Ahmed M.H., Department of Civil Engineering, Faculty of Engineering and Quantity Surviving, INTI International University Colleges, Nilai, Malaysia</text>
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