Published November 1, 2021
| Version 1.0.0
Dataset
Open
Predicting wildlife susceptibility to infectious diseases atglobal scales
Authors/Creators
- 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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