Wildlife Susceptibility to Infectious Diseases at Global Scales
Disease transmission prediction across wildlife is crucial for risk assessment of emerging infectious diseases. Susceptibility of host species to pathogens is influenced by the geographic, environmental, and phylogenetic context of the specific system under study. This study uses machine learning to analyze how such variables influence pathogen incidence for multi-host pathogen assemblages.
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Wildlife Susceptibility to Infectious Diseases at Global Scales
Author(s):
Angel L. Robles-Fernandez, Diego Santiago-Alarcon, and Andres Lira-Noriega
Publication Date: 2022
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Disease transmission prediction across wildlife is crucial for risk assessment of emerging infectious diseases. Susceptibility of host species to pathogens is influenced by the geographic, environmental, and phylogenetic context of the specific system under study. This study uses machine learning to analyze how such variables influence pathogen incidence for multi-host pathogen assemblages.
