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A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral in...

A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral in...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2479466815

A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness

About this item

Full title

A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2020-12, Vol.16 (12), p.e1008451-e1008451

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Simulations of tissue-specific effects of primary acute viral infections like COVID-19 are essential for understanding disease outcomes and optimizing therapies. Such simulations need to support continuous updating in response to rapid advances in understanding of infection mechanisms, and parallel development of components by multiple groups. We p...

Alternative Titles

Full title

A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2479466815

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2479466815

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1008451

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