WAHIS Wild Surveillance Sensitivity - Code and Data

This project estimates the sensitivity of the World Organisation for Animal Health (WOAH) WAHIS-Wild surveillance system for detecting non-listed wildlife disease outbreaks. Using capture-recapture methods, we compare outbreak reports across multiple data sources (WAHIS-Wild, scientific literature, and media reports) to estimate the proportion of outbreaks detected by the surveillance system. The analysis includes both multisource capture-recapture models and singlesource regression models examining predictors of reporting sensitivity across countries and disease categories. Archive Contents wahis_wild_sensitivity_public.zip - Code, reports, and public data (open access) wahis_wild_sensitivity_woah_data.zip - Sensitive WOAH predictor data (password-protected) Accessing Sensitive Data To access the password-protected WOAH data, contact p.tizzani@woah.org and explain your research purpose. Quick Start Download and extract wahis_wild_sensitivity_public.zip Install R dependencies: renv::restore() Run the analysis: targets::tar_make() See README.md in the archive for detailed setup instructions. Contact Code questions: n8.layman@gmail.comWOAH data access: p.tizzani@woah.org