Category: Research Papers

Abstract/Vision:

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. 

Paper available and updated at: arxiv.org/abs/2004.06111

CONCO-Team: The authors of this paper belong to the CONtrol COvid-19 Team, which is composed of different researches from universities and Foundations from Spain, Italy, France, Germany, the 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 (contact Teodoro Alamo at conco.team@gmail.com if you’d like to join the team).

 

Contact: Teodoro Alamo

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External website:

Tags:

Keywords: Data Sets, Open Data, Data-Driven Methods, Epidemic Models, Monitoring, Forecasting, Decision-Making

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