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Mathematical modeling of respiratory viral infection and applications to SARS‐CoV‐2 progression.

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Title: Mathematical modeling of respiratory viral infection and applications to SARS‐CoV‐2 progression.
Authors: Ait Mahiout, Latifa1 (AUTHOR), Bessonov, Nikolai2 (AUTHOR), Kazmierczak, Bogdan3 (AUTHOR), Volpert, Vitaly4,5 (AUTHOR) volpert@math.univ-lyon1.fr
Source: Mathematical Methods in the Applied Sciences. 1/30/2023, Vol. 46 Issue 2, p1740-1751. 12p.
Database: Mathematics Source
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PubType: Academic Journal
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  Data: Mathematical modeling of respiratory viral infection and applications to SARS‐CoV‐2 progression.
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  Data: <searchLink fieldCode="JN" term="%22Mathematical+Methods+in+the+Applied+Sciences%22">Mathematical Methods in the Applied Sciences</searchLink>. 1/30/2023, Vol. 46 Issue 2, p1740-1751. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=160872378
RecordInfo BibRecord:
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        Value: 10.1002/mma.8606
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      – Code: eng
        Text: English
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        StartPage: 1740
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      – TitleFull: Mathematical modeling of respiratory viral infection and applications to SARS‐CoV‐2 progression.
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            NameFull: Ait Mahiout, Latifa
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            NameFull: Bessonov, Nikolai
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            NameFull: Kazmierczak, Bogdan
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            – D: 30
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              Text: 1/30/2023
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              Y: 2023
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              Value: 46
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