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.
| Original language | English |
|---|---|
| Pages (from-to) | 760-771 |
| Number of pages | 12 |
| Journal | Trends in Ecology and Evolution |
| Volume | 40 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 2025 |
Bibliographical note
Publisher Copyright:© 2025 Elsevier Ltd
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 15 Life on Land
Keywords
- avian influenza
- biologging
- disease outbreak management
- movement ecology
- sentinel host species
- zoonotic diseases
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