Early detection of wildlife morbidity and mortality through an event-based surveillance system

Terra R. Kelly, Pranav S. Pandit, Nicole Carion, Devin F. Dombrowski, Krysta H. Rogers, Stella C. McMillin, Deana L. Clifford, Anthony Riberi, Michael H. Ziccardi, Erica L. Donnelly-Greenan, Christine K. Johnson

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The ability to rapidly detect and respond to wildlife morbidity and mortality events is critical for reducing threats to wildlife populations. Surveillance systems that use pre-diagnostic clinical data can contribute to the early detection of wildlife morbidities caused by a multitude of threats, including disease and anthropogenic disturbances. Here, we demonstrate proof of concept for use of a wildlife disease surveillance system, the 'Wildlife Morbidity and Mortality Event Alert System', that integrates pre-diagnostic clinical data in near real-time from a network of wildlife rehabilitation organizations, for early and enhanced detection of unusual wildlife morbidity and mortality events. The system classifies clinical pre-diagnostic data into relevant clinical classifications based on a natural language processing algorithm, generating alerts when more than the expected number of cases is recorded across the rehabilitation network. We demonstrated the effectiveness and efficiency of the system in alerting to events associated with both common and emerging diseases. Tapping into this readily available unconventional general surveillance data stream offers added value to existing wildlife disease surveillance programmes through a relatively efficient, low-cost strategy for the early detection of threats.

Original languageEnglish (US)
Article number20210974
JournalProceedings of the Royal Society B: Biological Sciences
Volume288
Issue number1954
DOIs
StatePublished - Jul 14 2021

Keywords

  • early detection system
  • general disease surveillance
  • wildlife disease surveillance
  • wildlife morbidity
  • wildlife mortality
  • wildlife rehabilitation

ASJC Scopus subject areas

  • Immunology and Microbiology(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Environmental Science(all)
  • Agricultural and Biological Sciences(all)

Fingerprint

Dive into the research topics of 'Early detection of wildlife morbidity and mortality through an event-based surveillance system'. Together they form a unique fingerprint.

Cite this