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: Andrews, A. (Author), Cannon, J.L (Author), Forrest, S. (Author), Gridley, R. (Author), Hinga, M. (Author), Hofmeyr, S. (Author), Leyba, K. (Author), Moses, M.E (Author), Pribisova, A. (Author), Surjadidjaja, V. (Author), Tasnim, H. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
adaptive immunity
apoptosis
Article
CD8+ T lymphocyte
CD8-Positive T-Lymphocytes
cellular immunity
computer model
computer simulation
Computer Simulation
controlled study
coronavirus disease 2019
COVID-19
disease severity
epithelium cell
human
human cell
Humans
immunology
innate immunity
isolation and purification
lung
Lung
lung alveolus cell
lymphocyte count
nonhuman
oscillation
persistent virus infection
SARS-CoV-2
viral clearance
Viral Load
virion
virology
virus cell interaction
virus infectivity
virus load
virus replication
virus transmission
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