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              <text>An Intelligent Model forPost Covid Hearing Loss</text>
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              <text>covid-19; mathematical model; ordinary differential equations; stability; Sudden sensorineural hearing loss (SSHL)</text>
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              <text>Several viral infections tend to cause Sudden Sensorineural Hearing Loss (SSNHL) in humans. Covid-19 being a viral disease could also cause hearing deficiencies in people as a side effect. There have been pieces of evidence from various case studies wherein covid infected patients have reported to be suffering from sudden sensorineural hearing loss. The main objective of this study is to inspect the phenomenon and treatment of SSNHL in post-COVID-19 patients. This study proposes a mathematical model of hearing loss as a consequence of covid-19 infection using ordinary differential equations. The solutions obtained for the model are established to be non-negative and bounded. The disease-free equilibrium, endemic equilibrium and basic reproductive number have been obtained for the model which helps analyse the models trend through stability analysis. Moreover, numerical simulations have been performedfor validating the obtained theoretical results.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.</text>
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              <text>Poonia R.C.; Aarthi S.; Samanta D.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-1046 LNNS, pp. 39-46.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-3-031-64813-7_5" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-031-64813-7_5&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200691556&amp;amp;doi=10.1007%2F978-3-031-64813-7_5&amp;amp;partnerID=40&amp;amp;md5=59952371375d5ae850f4206198d533f2" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200691556&amp;amp;doi=10.1007%2f978-3-031-64813-7_5&amp;amp;partnerID=40&amp;amp;md5=59952371375d5ae850f4206198d533f2&lt;/a&gt;</text>
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              <text>ISSN: 23673370; ISBN: 978-303164812-0</text>
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              <text>Online</text>
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              <text>Poonia R.C., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Aarthi S., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Samanta D., Department of Computing and Information Technologies, RIT Kosovo (A.U.K), Rochester Institute of Technology - RIT Global Campus, Prishtina, Kosovo, 10000</text>
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