Using a multi-strain infectious disease model with physical information neural networks to study the time dependence of SARS-CoV-2 variants of concern.
With the ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its increasing adaptation to humans, several variants of concern (VOCs) and variants of interest (VOIs) have been identified since late 2020. These include Alpha, Beta, Gamma, Delta, Omicron parent lineage...
Saved in:
| Main Authors: | Wenxuan Li, Xu Chen, Suli Liu, Chiyu Zhang, Guyue Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-02-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1012778 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evolutionary Mechanisms of the Emergence of the Variants of Concern of SARS-CoV-2
by: Igor M. Rouzine
Published: (2025-01-01) -
Identification of SARS-CoV-2 variants of concern in vaccine-breakthrough infections
by: Baha Abdalhamid, et al.
Published: (2022-04-01) -
SARS-CoV-2 genetic diversity and variants of concern in Saudi Arabia
by: Dalia Abdullah Obeid, et al.
Published: (2021-12-01) -
Structural impact of synonymous mutations in six SARS-CoV-2 Variants of Concern.
by: Alison Ziesel, et al.
Published: (2025-01-01) -
Cardiac Damage in Patients Infected with Different SARS-CoV-2 Variants of Concern
by: Francesco Robert Burkert, et al.
Published: (2024-12-01)