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Utilizing virus genomic surveillance to predict vaccine effectiveness.

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Title: Utilizing virus genomic surveillance to predict vaccine effectiveness.
Authors: Kwon J; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America., Li K; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America., Warren JL; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America.; Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America., Pandya S; Department of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Yale School of Medicine Biorepository, Yale University, New Haven, Connecticut, United States of America., Hahn AM; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia., Pitzer VE; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America., Weinberger DM; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America., Grubaugh ND; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America.; Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.
Corporate Authors: Yale SARS-CoV-2 Genomic Surveillance Initiative
Source: PLoS computational biology [PLoS Comput Biol] 2026 May 26; Vol. 22 (5), pp. e1014329. Date of Electronic Publication: 2026 May 26 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Kwon+J%22">Kwon J</searchLink>; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Li+K%22">Li K</searchLink>; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Warren+JL%22">Warren JL</searchLink>; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America.; Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Pandya+S%22">Pandya S</searchLink>; Department of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Yale School of Medicine Biorepository, Yale University, New Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Hahn+AM%22">Hahn AM</searchLink>; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Pitzer+VE%22">Pitzer VE</searchLink>; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Weinberger+DM%22">Weinberger DM</searchLink>; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Grubaugh+ND%22">Grubaugh ND</searchLink>; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America.; Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.
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  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2026 May 26; Vol. 22 (5), pp. e1014329. <i>Date of Electronic Publication: </i>2026 May 26 (<i>Print Publication: </i>2026).
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              Text: 2026 May 26
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