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Intracellular Life Cycle Kinetics of SARS-CoV-2 Predicted Using Mathematical Modelling

Intracellular Life Cycle Kinetics of SARS-CoV-2 Predicted Using Mathematical Modelling

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c4974f391f3a41ec97dad98019809c1f

Intracellular Life Cycle Kinetics of SARS-CoV-2 Predicted Using Mathematical Modelling

About this item

Full title

Intracellular Life Cycle Kinetics of SARS-CoV-2 Predicted Using Mathematical Modelling

Publisher

Basel: MDPI AG

Journal title

Viruses, 2021-08, Vol.13 (9), p.1735

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

SARS-CoV-2 infection represents a global threat to human health. Various approaches were employed to reveal the pathogenetic mechanisms of COVID-19. Mathematical and computational modelling is a powerful tool to describe and analyze the infection dynamics in relation to a plethora of processes contributing to the observed disease phenotypes. In our...

Alternative Titles

Full title

Intracellular Life Cycle Kinetics of SARS-CoV-2 Predicted Using Mathematical Modelling

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c4974f391f3a41ec97dad98019809c1f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c4974f391f3a41ec97dad98019809c1f

Other Identifiers

ISSN

1999-4915

E-ISSN

1999-4915

DOI

10.3390/v13091735

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