Avian Influenza (AI) is a significant global concern due to its impact on animal health, agriculture, and public health. High pathogenic avian influenza (HPAI) viruses, particularly H5 and H7 subtypes, are known for causing severe outbreaks in poultry. This study aims to analyze the spatio-temporal distribution and subtype dynamics of HPAI outbreaks globally. Data from the World Organization for Animal Health (WOAH) spanning 2005 to May 2024 were analyzed. A total of 19,216 reports documented 20,093 outbreaks and 93.9 million cases involving 159 species, including domestic and wild birds. Temporal density analysis revealed H5N1 as the most persistent and problematic subtype, with other subtypes like H5N6 and H5N8 causing outbreaks in recent years. Seasonal patterns highlighted recurring outbreaks, particularly during late winter and early spring, with variations in outbreak intensity across years. Spatial analysis showed a high concentration of cases in countries like the USA, China, and Russia reporting the largest caseloads. HPAI subtype diversity was highest in Asia and Europe, with reporting unique subtypes such as H5N9 in Europe and H7N9 in Asia. Spatio-temporal clustering using the ST-DBSCAN algorithm identified persistent clusters in specific regions and emergence of new clusters in subsequent years. It suggests that there is shift in geographic impact and introduction of new subtypes. Domestic birds accounted for more than 75% of cases, with significant differences in infection duration and subtype susceptibility compared to wild birds. Statistical analyses highlighted regional variations in subtype prevalence and outbreak dynamics. The study underscores the need for continuous monitoring and tailored biosecurity measures to address the evolving HPAI threat. Identifying spatio-temporal trends and high-risk regions can guide targeted interventions and improve global readiness for future outbreaks. |