COVID-19 FOSS initiatives

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Our generation is facing one of the most difficult challenges of its time with consequences that will unravel for a long time, in all aspects of our existence. With much of our world in lockdown, our attention turns towards the spread and evolution of the SARS-CoV-2 virus around the globe. Given the geospatial dimension of the threat, some of the OSGeo community members might be using their knowledge and experience to design and implement various applications to track, visualise or predict the COVID-19 pandemic evolution.
This wiki page is dedicated to collect COVID-19 related initiatives developed using FOSS solutions. We invite anyone involved in such an initiative or has knowledge of one, to acknowledge their efforts by including it in this list.

COVID-19 FOSS initiatives

Coronavirus COVID-19 Romania

Romania, (Romanian OSGeo Local Chapter)

As soon as Romania registered its first official COVID-19 patient on February 26, the volunteers have collaboratively begun to work on an application based on the Romanian official data to disseminate to the public the evolution of the pandemic. The application presents visualizations related to the dimensions of the outbreak in Romania - confirmed cases, recovered and deaths - together with a series of statistics, as well as other relevant aspects covering quarantine and applied restrictions, hospital infrastructure, marginalised communities, border traffic. Due to the un-structured and often modified manner in which the Romanian authorities are sharing COVID-19 information, a significant part of the team's efforts are invested into collecting more detailed information from the local and national media, match it to the official reporting, structure and deliver it in a more relevant manner. The collected, cleaned data can be accessed as JSON format using a dedicate API (the API is momentarily static, nevertheless, we will analyse the possibility of filter set-ups for future releases):

FOSS employed

The application is build using Node.js, PostgreSQL+PostGIS, R on the backend side, OpenLayers, Angular, charts.js, Plotly and D3.js for the frontend side and it is available under un MIT license on Github.

The infrastructure is supported by SAGE group from University of West Timișoara and CARTO, through their grant program.