Spatially distributed infection increases viral load in a computational model of SARS-CoV-2 lung infection.

Spatially distributed infection increases viral load in a computational model of SARS-CoV-2 lung infection.

A key question in SARS-CoV-2 infection is why viral loads and patient outcomes vary dramatically across individuals. Because spatial-temporal dynamics of viral spread and immune response are challenging to study in vivo, we developed Spatial Immune Model of Coronavirus (SIMCoV), a scalable computati...

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Bibliographic Details
Main Authors: Melanie E Moses, Steven Hofmeyr, Judy L Cannon, Akil Andrews, Rebekah Gridley, Monica Hinga, Kirtus Leyba, Abigail Pribisova, Vanessa Surjadidjaja, Humayra Tasnim, Stephanie Forrest
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-12-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1009735

Internet

https://doi.org/10.1371/journal.pcbi.1009735

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