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Published November 1, 2021 | Version 1.0.0

Predicting wildlife susceptibility to infectious diseases atglobal scales

  • 1. Facultad de Fisica, Universidad Veracruzana
  • 2. Red de Biologia y Conservaci ́on de Vertebrados, Instituto de Ecolog ia
  • 3. CONACYT Research Fellow, Red de Estudios Moleculares Avanzados,Instituto de Ecolog ía

Description

Dataset included as supplementary material of  the paper entitled Predicting wildlife susceptibility to infectious diseases at global scales.  It contains phylogenetic, geographical and environmental distance for birds and bats, counts of incidence of  Plasmodium relictum on birds, counts of incidence of West Nile Virus on birds and counts of incidence of coronavirus in bats, and susceptibility calculated by the random forest algorithm.

Files

batsdistance.csv

Files (1.4 MB)

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