Code from: Multiple environmental conditions precede Ebola spillovers in central Africa
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To assess potential environmental determinants of Zaire ebolavirus (EBOV) spillovers, we analyzed time series of vegetation health, rainfall, temperature, forest loss, and human population size surrounding Central African spillover locations from 1990 to 2022. We evaluated whether environmental conditions before spillover were atypical for each location by quantifying the similarities in environmental time series between spillover years and non-spillover years. This dataset includes the environmental and anthropogenic time series analyzed around EBOV spillover locations from 1990 to 2022. These data are all publicly available and were retrieved from data repositories in Google Earth Engine, The Climate Data Store, or Worldpop. , , # Code from: Multiple environmental conditions precede Ebola spillovers in central Africa Dataset DOI: [10.5061/dryad.15dv41p9b](https://doi.org/10.5061/dryad.15dv41p9b) ## Description of the data and file structure Code to accompany \"Multiple Environmental Conditions Precede Ebola Spillovers in Central Africa\" by Baranowski and Bharti, 2025, submitted to Biology Letters Special Feature on Disease Ecology. All data were retrieved from publicly available sources and served as input files for the code. Due to licensing restrictions (because Dryad datasets are published under the CC0 license waiver), the data files required to run the code are not included. However, users can contact the corresponding author to request the necessary input files at: [ktb5143@psu.edu](mailto:ktb5143@psu.edu) (Kelsee Baranowski) ### Files and variables **File: deforestation_panel_regression.R** **Description:** R code to perform panel regression on the hectares of forest area and forest loss by spillo...,
