Observations from the Application of a Multimodal Data Approach for the Examination of the 2024-2025 Highly Pathogenic Avian Influenza Outbreak in the United States

Juliana Sopko, Aimee R Han, Jacqueline Powers, Jacquelin Sauer, Mansi Avunoori, Stanislaw Zakrzewski, Allison Krugman, Abhishek Dasgupta, Kara Sewalk, Autumn H Gertz, Benjamin Rader, James Sheldon, Brennan Klein, Moritz UG Kraemer, Samuel V Scarpino, John S Brownstein
preprint (the Lancet)
October 14, 2025

Background: Highly pathogenic avian influenza (HPAI) outbreaks have primarily affected wild and domesticated bird populations, with occasional human spillover. In 2024, the United States (US) reported the first known infection of H5N1 in dairy cattle, rapidly evolving into a multispecies outbreak among cattle and poultry with spillover into humans. Publicly available data remained fragmented across agencies, hindering timely response. Multimodal surveillance methods can strengthen situational awareness through integrated, standardized data.