Data and code supporting analyses of interepidemic Rift Valley fever risk in East Africa
Description
Shared here are data and code supporting the manuscript: "Interepidemic Rift Valley fever in East Africa: The recent risk landscape and projected impacts of global change." Explanation of the project files and workflow is provided in the README file included here and on the project's GitHub repository.
Many intermediate and supplementary files that were excluded from the GitHub repository due to space limitations are included here. Notably, processed raster data necessary to recreate project analyses (i.e., raster data cropped to the study region extent and converted to 2.5 arcminute resolution) are provided for all relevant predictor variables. However, due to their extremely large sizes, some raw raster data are still excluded from this repository. Sources for these raw raster data are provided in the project README and described in the manuscript.
Note the large size of these project files: the full repository uploaded here will be ~42 GB uncompressed.
Files
RVFutures.zip
Files
(12.6 GB)
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md5:d2c92c7624306c47d2034d5606091849
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Additional details
Related works
- Is supplement to
- Software: https://github.com/eveskew/RVFutures (URL)
Funding
- Coalition for Epidemic Preparedness Innovations
- Epidemiology and modelling studies to support Rift Valley fever vaccine efficacy trials in East Africa
- National Institute of Allergy and Infectious Diseases
- U01AI151799
- National Institute of General Medical Sciences
- R01GM122079
Software
- Repository URL
- https://github.com/eveskew/RVFutures
- Programming language
- R