A Head-to-Head Evaluation of a Novel Universal Influenza Vaccine Against Current Formulation: Implications for Future Immunization Strategies

Influenza remains a significant public health concern, with annual vaccine formulations traditionally developed based on the most prevalent virus strains from the previous year. This process often results in mismatches between the vaccine and circulating strains, limiting efficacy. In this study, we utilize the UISS-FLU simulator to compare the effects of a novel influenza vaccine formulation, developed in our previous research, against this year's standard vaccine. We aim to evaluate the potential advantages of our formulation in terms of immunogenic response and protective efficacy. By leveraging in silico methodologies, we can enhance vaccine design and optimization, allowing for a more adaptive and responsive approach to influenza immunization. Our findings will provide insights into the future of vaccine development, showcasing how computational tools can improve public health outcomes by potentially yielding a universal vaccine solution.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/bibm62325.2024.10822420
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
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A Head-to-Head Evaluation of a Novel Universal Influenza Vaccine Against Current Formulation: Implications for Future Immunization Strategies

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Influenza Virus Research Studies
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A Head-to-Head Evaluation of a Novel Universal Influenza Vaccine Against Current Formulation: Implications for Future Immunization Strategies

Giulia Russo, Elena Crispino, Francesco Pappalardo, Valentina Di Salvatore, Avisa Maleki
article en

Abstract

Influenza remains a significant public health concern, with annual vaccine formulations traditionally developed based on the most prevalent virus strains from the previous year. This process often results in mismatches between the vaccine and circulating strains, limiting efficacy. In this study, we utilize the UISS-FLU simulator to compare the effects of a novel influenza vaccine formulation, developed in our previous research, against this year's standard vaccine. We aim to evaluate the potential advantages of our formulation in terms of immunogenic response and protective efficacy. By leveraging in silico methodologies, we can enhance vaccine design and optimization, allowing for a more adaptive and responsive approach to influenza immunization. Our findings will provide insights into the future of vaccine development, showcasing how computational tools can improve public health outcomes by potentially yielding a universal vaccine solution.

University of Catania (IT)
Openalex Percentile: Top 63%
Influenza Virus Research Studies
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