The Barcelona Supercomputing Center-National Supercomputing Center (BSC-CNS) provides scientists and administrations with a mapping tool that can intuitively integrate covid-19 case data and citizen movement data. His name is Covid-19 Flow-Maps.
Now, new geographic information tools can be used to visualize the risk of covid-19 transmission associated with population movements. Barcelona Supercomputing Center-National Supercomputing Center (BSC-CNS).
About the platform Covid-19 flow graph, In which data from the health administration (Ministry of Health and the Ministry of Health of Castile and León, Catalonia, Madrid, Navarre and the Basque Country’s known covid-19 cases) and the Ministry of Health The data on the movement of people combines transportation, mobility and urban agendas.
The results can provide support for decision-making authorities and epidemiologists to provide the latest data to the model, and provide support for citizens to visualize the relationship between pandemic, liquidity and related risks.
all System data is georeferenced, Which helps its representation on the map and its integration, analysis and interpretation. Covid-19 Flow-Maps allows you to visualize the risk of Covid-19 infection in a specific area, which is related to the influx of citizens from other geographic areas.
The risk is calculated based on the correlation between known cases of covid-19 and data indicating to which areas and how hard the residents of the affected areas are moving. Based on anonymous and aggregated mobile phone data, travel methods are inferred according to travel days and travel regions.
After the competent authority integrates these data into the public information system, the data will be updated automatically, and the information will be provided at the national and provincial levels, as well as by region or basic health area (if any), such as the Catalan card The community of Stilía Leon, Madrid, Navarre and the Basque Country.
Covid-19 Flow Maps initiated by the BSC Department of Life Sciences provides Access the web through the dashboard The state of the pandemic and the risks associated with liquidity can be explored visually. In addition, all information can be accessed using the API-REST programming interface, which is designed for professionals who want to integrate data into their own systems.
Flow-Maps coordinator, Miguel Ponce De Leon, Explanation. “This is the first part of a series of BSC tools used to analyze, visualize and predict the behavior of the COVID-19 pandemic. We are working hard to integrate epidemiological models into the platform provided by this data, and to predict epidemiology Progress. Risks.”
For its part, Alfonso Valencia, Professor ICREA and Dean of the Department of Life Sciences of BSC said that the huge scale of liquidity data, the particularity of distributed health information, and the integration with epidemiological models constitute a complex situation. In this case, we can continue Advance the huge technology and computing power of BSC”.
The Covid 19 flow chart was produced by the Ministry of Digital Policy and Public Administration of Catalonia through the Center for Innovation in Data Technology and Artificial Intelligence (CIDAI); Minister of Digitalization and Artificial Intelligence, Ministry of Economy and Digitalization, National Institute of Bioinformatics-Carlos A subordinate institution of the Institute of Health III (INB-ISCIII), which is subordinate to the Ministry of Science and Innovation.