Investigating environmental determinants and spatiotemporal dynamics of highly pathogenic avian influenza H5N1 outbreaks in India through machine learning.

ABSTRACT: Avian Influenza (AI), caused by highly pathogenic strains of influenza viruses, poses a significant threat to poultry populations and public health worldwide. This study offers a comprehensive evaluation of the spatial and temporal dynamics of HPAI outbreaks in India, employing a multidisciplinary approach that integrates geospatial analysis, machine learning modelling, remote sensing, and environmental risk factor assessment. The resulting incidence map provides a powerful visual representation, offering valuable insights into the distribution and concentration of HPAI (Highly Pathogenic Avian Influenza) outbreaks across the country. The study identifies a peak in HPAI outbreaks during the winter and spring seasons. Critical environmental variables such as air temperature, enhanced vegeta

SUBMITTER: Puttahonnappa SK 

PROVIDER: S-EPMC12533099 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature