Work

Code and data associated with "Modeling the influence of pre-existing titers on influenza vaccine responses across multiple human cohorts"

Year: 2026

Type: dataset

Abstract: Code and data associated with "Modeling the influence of pre-existing titers on influenza vaccine responses across multiple human cohorts".

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20140922

Authors: Hemme, Hayley, Handel, Andreas, Cramer, Annalise, Cowling, Benjamin J., Fox, Annette, Kennedy, Richard B., Ross, Ted M., Sant, Andrea J., Tsang, John S, Cobey, Sarah, Shen, Ye

Institutions: University of Georgia, University of Hong Kong, The Royal Melbourne Hospital, The University of Melbourne, Peter Doherty Institute, Mayo Clinic, Cleveland Clinic, Cleveland Clinic Florida, University of Rochester Medicine, Yale University, National Institute of Allergy and Infectious Diseases, University of Chicago

Language: English

Topic: Influenza Virus Research Studies

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute of Allergy and Infectious Diseases

Awards: Bioinformatics Approach to Influenza A/H1N1 Vaccine Immune Profiling, DYNAMICS AND EVOLUTION OF IMMUNE RESPONSES TO INFLUENZA VIRUSES, Drivers of individual variation in influenza vaccine response and protection from infection

OpenAlex ID: W7161755827

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