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

Abstract

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.