Utilizing virus genomic surveillance to predict vaccine effectiveness.
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| Title: | Utilizing virus genomic surveillance to predict vaccine effectiveness. |
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| Authors: | Kwon J; Department of Epidemiology of Microbial Diseases, Yale School of Public Health; New Haven, CT, USA.; Public Health Modeling Unit, Yale School of Public Health; New Haven, CT, USA., Li K; Department of Epidemiology of Microbial Diseases, Yale School of Public Health; New Haven, CT, USA.; Public Health Modeling Unit, Yale School of Public Health; New Haven, CT, USA., Warren JL; Public Health Modeling Unit, Yale School of Public Health; New Haven, CT, USA.; Department of Biostatistics, Yale School of Public Health; New Haven, CT, USA., Pandya S; Department of Laboratory Medicine, Yale School of Medicine; New Haven, CT, USA.; Yale School of Medicine Biorepository, Yale University; New Haven, CT, USA., Hahn AM; Department of Epidemiology of Microbial Diseases, Yale School of Public Health; New Haven, CT, USA.; Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity; Melbourne, VIC, Australia., Pitzer VE; Department of Epidemiology of Microbial Diseases, Yale School of Public Health; New Haven, CT, USA.; Public Health Modeling Unit, Yale School of Public Health; New Haven, CT, USA., Weinberger DM; Department of Epidemiology of Microbial Diseases, Yale School of Public Health; New Haven, CT, USA.; Public Health Modeling Unit, Yale School of Public Health; New Haven, CT, USA., Grubaugh ND; Department of Epidemiology of Microbial Diseases, Yale School of Public Health; New Haven, CT, USA.; Public Health Modeling Unit, Yale School of Public Health; New Haven, CT, USA.; Department of Ecology and Evolutionary Biology, Yale University; New Haven, CT, USA. |
| Corporate Authors: | Yale SARS-CoV-2 Genomic Surveillance Initiative |
| Source: | MedRxiv : the preprint server for health sciences [medRxiv] 2025 Jun 22. Date of Electronic Publication: 2025 Jun 22. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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