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Enhanced predictability and interpretability of COVID-19 severity based on SARS-CoV-2 genomic diversity: a comprehensive study encompassing four years of data.

Scientific reports - 6 Nov 2024

Miao Miao, Ma Yonghong, Tan Jiao, Chen Renjuan, Men Ke

Abstract excerpt

Despite the end of the global Coronavirus Disease 2019 (COVID-19) pandemic, the risk factors for COVID-19 severity continue to be a pivotal area of research. Specifically, studying the impact of the genomic diversity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) on COVID-19 severity is crucial for predicting severe outcomes. Therefore, this study aimed to investigate the impact of the SARS-CoV-2...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Identifiers

PMID: 39506014
DOI: 10.1038/s41598-024-78493-1
PMCID: PMC11541897

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