Published June 4, 2022 | Version v1
Poster Open

Wildlife susceptibility to infectious diseases at global scales

Authors/Creators

  • 1. 1Julie Ann Wrigley Global Futures Laboratory, Arizona State University, Tempe, AZ 85281, United States 2Department of Integrative Biology,
  • 2. 1CONACYT Research Fellow, Red de Estudios Moleculares Avanzados, Instituto de Ecología, A.C., Xalapa C.P. 91073. Veracruz, México
  • 3. Department of Integrative Biology, University of South Florida, Tampa, FL 33620, United States,

Description

Disease transmission prediction across wildlife is crucial for risk assessment of emerging infectious diseases
We used machine learning to analyze how such variables influence pathogen incidence for multi-host pathogen
assemblages.

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