Open Data Resources for Fighting COVID-19
Alamo, Teodoro, Reina, Daniel G., Mammarella, Martina, Abella, Alberto
We provide an insight into the open data resources pertinent to the study of the spread of Covid-19 pandemic and its control. We identify the variables required to analyze fundamental aspects like seasonal behaviour, regional mortality rates, and effectiveness of government measures. Open data resources, along with data-driven methodologies, provide many opportunities to improve the response of the different administrations to the virus. We describe the present limitations and difficulties encountered in most of the open-data resources. To facilitate the access to the main open-data portals and resources, we identify the most relevant institutions, at a world scale, providing Covid-19 information and/or auxiliary variables (demographics, mobility, etc.). We also describe several open resources to access Covid-19 data-sets at a country-wide level (i.e. China, Italy, Spain, France, Germany, U.S., etc.). In an attempt to facilitate the rapid response to the study of the seasonal behaviour of Covid-19, we enumerate the main open resources in terms of weather and climate variables. CONCO-Team: The authors of this paper belong to the CONtrol COvid-19 Team, which is composed of different researches from universities of Spain, Italy, France, Germany, United Kingdom and Argentina. The main goal of CONCO-Team is to develop data-driven methods for the better understanding and control of the pandemic.
May-11-2020
- Country:
- Oceania > Australia (0.14)
- South America
- North America
- Canada (0.04)
- United States
- New York (0.04)
- Washington (0.04)
- Texas (0.04)
- Pennsylvania (0.04)
- Oregon (0.04)
- Wisconsin > Dane County
- Madison (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- Trinidad and Tobago > Trinidad
- Europe
- Germany (0.45)
- Iceland (0.28)
- Sweden (0.04)
- Ireland (0.04)
- United Kingdom
- Wales (0.04)
- Scotland (0.04)
- England > Oxfordshire
- Oxford (0.14)
- Spain
- Catalonia > Lleida Province
- Lleida (0.04)
- Andalusia > Seville Province
- Seville (0.04)
- Catalonia > Lleida Province
- Italy > Piedmont
- Turin Province > Turin (0.04)
- France > Auvergne-Rhône-Alpes
- Asia
- South Korea (0.04)
- Singapore (0.04)
- Japan > Honshū
- Kantō > Kanagawa Prefecture > Yokohama (0.04)
- China > Hubei Province
- Wuhan (0.04)
- Africa
- Middle East > Algeria (0.04)
- South Africa > Gauteng
- Pretoria (0.04)
- Genre:
- Research Report > Experimental Study (0.93)
- Industry:
- Technology:
- Information Technology
- Information Management (1.00)
- Data Science (1.00)
- Communications (1.00)
- Artificial Intelligence > Machine Learning (1.00)
- Software (0.68)
- Information Technology