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leish_hosts

Code for: Phylogenetic and biogeographical traits predict unrecognized hosts of zoonotic leishmaniasis 2023. Caroline K Glidden, Aisling R. Murran, Rafaella Albuquerque Silva, Adrian A. Castellanos, Barbara A. Han, Erin A. Mordecai. PLoS NTD: https://doi.org/10.1371/journal.pntd.0010879 Code written by Caroline K. Glidden & Aisling R. Murran

This github contains the following R files (for each Leishmania genus):

  1. timetree_phylo_distance.R: code to get phylogenetic distance PCoA axes
  2. pubmed_data_collection.R: code to build variable importance plots and tables for each model in the manuscript
  3. clean_merge_data_4.1.R : code to clean and merge host status data and trait data included in the raw_data folder
  4. xgboost_model_performance.R : codel to evaluate model performance using nested cross-validation
  5. variableImp_pdp.R: code to bootstrap variable importance and partial dependence plot analysis
  6. figures.R : code to generate figures for final model

The folder study_effort_supp includes the same analyses but for the supplemental study effort analysis

The final data included in the analysis (cleaned_data/analysis_data/trait_data_small.rds) includes data from the following sources:

Species range shapefiles for cleaning data, building figures, and aggregating habitat traits for species ranges can be found here: https://www.iucnredlist.org/

Occurrence points to generate polygons for invasive species in the Americas were downloaded from da Rosa et al. 2020: https://doi.org/10.1002/ecy.3115

Occurrence points to generate polygons for zoonotic Leishmania occurrence were downloaded from Herrera et al. 2020: https://doi.org/10.1038/s41597-020-0451-5

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