Computational Modeling Insights into Extreme Heterogeneity in COVID-19 Nasal Swab Data

Computational Modeling Insights into Extreme Heterogeneity in COVID-19 Nasal Swab Data

Throughout the COVID-19 pandemic, an unprecedented level of clinical nasal swab data from around the globe has been collected and shared. Positive tests have consistently revealed viral titers spanning six orders of magnitude! An open question is whether such extreme population heterogeneity is uniq...

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Bibliographic Details
Main Authors: Leyi Zhang, Han Cao, Karen Medlin, Jason Pearson, Andreas C. Aristotelous, Alexander Chen, Timothy Wessler, M. Gregory Forest
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Viruses
Subjects:
SARS-CoV-2
nasal infection
sensitivity analysis
extreme outcome heterogeneity
Online Access:https://www.mdpi.com/1999-4915/16/1/69

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https://www.mdpi.com/1999-4915/16/1/69

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