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Using wild-animal tracking for detecting and managing disease outbreaks

  • Idan Talmon
  • , Sasha Pekarsky
  • , Yoav Bartan
  • , Nikki Thie
  • , Wayne M. Getz
  • , Pauline L. Kamath
  • , Rauri C.K. Bowie
  • , Ran Nathan*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

6 Scopus citations

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 languageEnglish
Pages (from-to)760-771
Number of pages12
JournalTrends in Ecology and Evolution
Volume40
Issue number8
DOIs
StatePublished - Aug 2025

Bibliographical note

Publisher Copyright:
© 2025 Elsevier Ltd

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • avian influenza
  • biologging
  • disease outbreak management
  • movement ecology
  • sentinel host species
  • zoonotic diseases

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