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A Model for SARS-CoV-2 Infection with Treatment.
Chatterjee, Amar Nath; Al Basir, Fahad.
  • Chatterjee AN; Department of Mathematics, K.L.S. College, Nawada, Magadh University, Bodh Gaya, Bihar 805110, India.
  • Al Basir F; Department of Mathematics, Asansol Girls' College, Asansol-4, West Bengal 713304, India.
Comput Math Methods Med ; 2020: 1352982, 2020.
Article in English | MEDLINE | ID: covidwho-751455
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ABSTRACT
The current emergence of coronavirus (SARS-CoV-2) puts the world in threat. The structural research on the receptor recognition by SARS-CoV-2 has identified the key interactions between SARS-CoV-2 spike protein and its host (epithelial cell) receptor, also known as angiotensin-converting enzyme 2 (ACE2). It controls both the cross-species and human-to-human transmissions of SARS-CoV-2. In view of this, we propose and analyze a mathematical model for investigating the effect of CTL responses over the viral mutation to control the viral infection when a postinfection immunostimulant drug (pidotimod) is administered at regular intervals. Dynamics of the system with and without impulses have been analyzed using the basic reproduction number. This study shows that the proper dosing interval and drug dose both are important to eradicate the viral infection.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Pyrrolidonecarboxylic Acid / Adjuvants, Immunologic / Coronavirus Infections / Thiazolidines / Betacoronavirus / Models, Biological Type of study: Observational study / Randomized controlled trials Limits: Humans Language: English Journal: Comput Math Methods Med Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: 2020

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Pyrrolidonecarboxylic Acid / Adjuvants, Immunologic / Coronavirus Infections / Thiazolidines / Betacoronavirus / Models, Biological Type of study: Observational study / Randomized controlled trials Limits: Humans Language: English Journal: Comput Math Methods Med Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: 2020