Modeling identifies variability in SARS-CoV-2 uptake and eclipse phase by infected cells as principal drivers of extreme variability in nasal viral load in the 48 h post infection.
Pearson J, Wessler T, Chen A, Boucher RC, Freeman R, Lai SK, Pickles R, Forest MG.
Pearson J, et al. Among authors: chen a.
J Theor Biol. 2023 May 21;565:111470. doi: 10.1016/j.jtbi.2023.111470. Epub 2023 Mar 23.
J Theor Biol. 2023.
PMID: 36965846
Free PMC article.
With the physiologically faithful, agent-based mechanistic model of inhaled exposure and infection from (Chen et al., 2022), we perform statistical sensitivity analyses of the progression of nasal viral titers in the first 0-48 h post infection, focusing on three kinetic m …
With the physiologically faithful, agent-based mechanistic model of inhaled exposure and infection from (Chen et al., 2022), we perfo …