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Updated: Jul 31, 2025
Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
Published on: February 16, 2022
Topological data analysis of antibody dynamics of severe and non-severe patients with COVID-19
Rodolfo Blanco-Rodríguez1, Fernanda Ordoñez-Jiménez2, Alexis Erich S Almocera3
1Department of Mathematics and Statistical Science, University of Idaho, Moscow, ID, 83844-1103, USA; Institute for Modeling Collaboration and Innovation, University of Idaho, Moscow, ID, USA; Instituto de Matemáticas, Universidad Nacional Autónoma de México, Boulevard Juriquilla 3001, Querétaro, Qro., 76230, Mexico.
Abstract:
The COVID-19 pandemic is a significant public health threat with unanswered questions regarding the immune system's role in the disease's severity level. Here, based on antibody kinetic data of severe and non-severe COVID-19 patients, topological data analysis (TDA) highlights that severity is not binary. However, there are differences in the shape of antibody responses that further classify COVID-19 patients into non-severe, severe, and intermediate cases of severity. Based on the results of TDA, different mathematical models were developed to represent the dynamics between the different severity groups. The best model was the one with the lowest average value of the Akaike Information Criterion for all groups of patients. Our results suggest that different immune mechanisms drive differences between the severity groups. Further inclusion of different components of the immune system will be central for a holistic way of tackling COVID-19.
