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...

Descripción completa

Detalles Bibliográficos
Autores principales: Moses, Melanie E., Hofmeyr, Steven, Cannon, Judy L., Andrews, Akil, Gridley, Rebekah, Hinga, Monica, Leyba, Kirtus, Pribisova, Abigail, Surjadidjaja, Vanessa, Tasnim, Humayra, Forrest, Stephanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740970/
https://www.ncbi.nlm.nih.gov/pubmed/34941862
http://dx.doi.org/10.1371/journal.pcbi.1009735

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740970/
https://www.ncbi.nlm.nih.gov/pubmed/34941862
http://dx.doi.org/10.1371/journal.pcbi.1009735

Ejemplares similares