Mathematical AI Predicts 40% and 57% Influenza Vaccine Effectiveness Against H1N1 and H3N2, Respectively, for the 2026-–2027 U.S. Season

Xiang Xiang Wang, Guo-Wei Wei

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DOI: 10.64898/2026.10.22.760980
Published: 2026-10-26
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Publisher: openRxiv
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BibTeX

@article{allodium:10.64898/2026.10.22.760980,
  title = {Mathematical AI Predicts 40\% and 57\% Influenza Vaccine Effectiveness Against H1N1 and H3N2, Respectively, for the 2026-–2027 U.S. Season},
  author = {Xiang Xiang Wang and Guo-Wei Wei},
  year = {2026},
  doi = {10.64898/2026.10.22.760980},
  url = {https://doi.org/10.64898/2026.10.22.760980}
}

RIS

TY  - JOUR
TI  - Mathematical AI Predicts 40% and 57% Influenza Vaccine Effectiveness Against H1N1 and H3N2, Respectively, for the 2026-–2027 U.S. Season
AU  - Xiang Xiang Wang
AU  - Guo-Wei Wei
PY  - 2026
DO  - 10.64898/2026.10.22.760980
UR  - https://doi.org/10.64898/2026.10.22.760980
ER  -

APA

Wang, X. X., & Wei, G. (2026). Mathematical AI Predicts 40% and 57% Influenza Vaccine Effectiveness Against H1N1 and H3N2, Respectively, for the 2026-–2027 U.S. Season. https://doi.org/10.64898/2026.10.22.760980

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crossref · retrieved 2026-11-10T10:52:35.816Z