ULS shares updated data on infections and evolution of COVID-19 in our region and country

covid bigdata

Information is available at https://bigdatauls.userena.cl/salud/covid-19/, as part of the Big Data of the University of La Serena, an initiative financed by the Regional Higher Education Line of the MINEDUC and which aims to contribute to decision-making and public debate.

Important updated data related to COVID-19, such as confirmed cases in Chile and in each region of the country or the evolution of this pandemic in Latin America, are available through the platform. Big Data ULS - COVID-19 (click here), implemented by the University of La Serena and available to the entire community.

“The idea is to be able to put institutional analysis capacity at the service of the Coquimbo Region and deliver relevant information for decision-making, keeping the population and those who require it informed, in this case, important data on this pandemic that affects the world. This as part of a larger set of interactive visualizations of public data, in areas such as the economy, environment, demography and education that bring together the capacities of Science and Data”, explains the Director of Strategic Development and Quality of the ULS, Dr. César Espíndola.

The manager highlights that this platform handles large volumes of data, with an updated and real processing speed that has already joined organizations such as the Regional Government, PDI and Corfo, among others, to establish permanent collaboration spaces for technological transfer in the management and processing of large volumes of data, allowing users to find and visualize the behavior of data and variables in a simple, fast, fluid and customizable way to the interests of each user.”

It should be remembered that Big Data ULS is an initiative of the University of La Serena, financed by the Regional Higher Education Line of the MINEDUC and that its objective is to contribute to decision-making and public debate of the different economic, productive actors. , social and educational based on the integration and interactive and interoperable visualization of public data series of interest for regional and national development.

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