Advancing crop disease early warning in South Asia by complementing expert surveys with internet media scraping - supporting data and analysis

<p>Contains data from experiments and analysis that support the associated paper currently under review.</p> <p>Also contains scripts to:</p> <p>- Get the latest scraped media reports from the online dashboard (see doi: 10.5281/zenodo.8024493), and generate proxy surveys from them;</p> <p>- Simulate wheat rust spore production based on available survey datasets.</p> <p>- Analyse results of surveys, and models of spore production and spore dispersal, and reproduce the figures contained in the associated paper and its supplement.</p> <p>Requirements: Docker installed and 6GB of available storage space.</p> <p>Steps to use:</p> <p>1) Download and unzip the contained file.</p> <p>2) (Linux) Run setup.sh.</p> <p>&nbsp; &nbsp; (Windows/OSX/other) Look in setup.sh for instructions on where to unzip the files contained in supporting_data/ and build the Docker image and container.</p> <p>3) Start and enter the Docker container, then run /home/code/sources-media-reports/run_all.sh.</p>