Arquitectura web con Big data para mejorar la toma de decisiones y reducción de contagios de COVID en Kennedy, Bogotá, Colombia.

Abstract

This article develops a web architecture with Big data classifying the information for decision making seeking the reduction of COVID infections in the town of Kennedy, Bogota - Colombia, an approach of the impact that has left the pandemic (COVID -19) applying Big data is made. The method used consists of using Big data and coupled to an architecture that analyzes the data provided by the Mayor's Office of Bogota, which offers citizens the possibility of accessing heat maps that show the concentration of COVID-19 cases in different areas of the city, in addition to providing updated information on the daily number of tests taken and processed, the percentage of occupancy of general hospitalization services, intermediate care unit and ICU, as well as the availability of beds in ICU and hospitalization areas in Bogota and also that it provides an archive with data from each locality, including Kennedy, seeking as an objective to analyze all these data providing tools through technology such as Big data in decision making in the face of COVID or a new pandemic. As a conclusion and very important to keep in mind is that the information is not accurate, since only the mayor's office is the entity in charge of collecting the information of the entire city having margin of error.