Learn from the past to predict viral pandemics

Nash D. Rochman () and Eugene V. Koonin ()

Nature, 2023, vol. 622, issue 7984, 700-702

Abstract: The COVID-19 pandemic highlighted the need to understand the emergence of viral variants, given that these can have implications for vaccination success. A bioinformatics tool offers a way to predict viral evolution.

Keywords: Immunology; Epidemiology (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1038/d41586-023-02931-9

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