Using wild-animal tracking for detecting and managing disease outbreaks.

Zoonotic diseases increasingly threaten human and wildlife populations, driving a global rise in mass-mortality outbreaks, including the ongoing avian influenza panzootic in wildlife and zoonotic spillovers such as the COVID-19 (SARS-CoV-2) pandemic in humans. We introduce a new general framework for detecting and managing pathogen outbreaks using animal movement and sensory biologging data to enhance early outbreak detection, provide near-real-time updates on sentinel host health and mortality, and reveal infection-induced behavioral changes. Integrating past and near-real-time biologging with disease surveillance data also enables prospective assessments of spatiotemporal outbreak dynamics, informs management decisions, helps to mitigate spillover risks, and supports both disease control and wildlife conservation.

Linking migration and microbiota at a major stopover site in a long-distance avian migrant.

Migration is one of the most physical and energetically demanding periods in an individual bird's life. The composition of the bird's gut or cloacal microbiota can temporarily change during migration, likely due to differences in diets, habitats and other environmental conditions experienced en route. However, how physiological condition, migratory patterns, and other drivers interact to affect microbiota composition of migratory birds is still unclear.

First detection of avian influenza subtype H4N6 in Israel in a wild mallard (Anas platyrhynchos).

Avian influenza viruses (AIV) are a worldwide threat to animal and human health. As wild waterfowl circulate and spread these viruses around the world, investigations of AIV prevalence in wild populations are critical for understanding pathogen transmission, as well as predicting disease outbreaks in domestic animals and humans. Surveillance efforts in this study have isolated H4N6 for the first time in Israel from a faecal sample of a wild mallard (Anas platyrhynchos).