SALUD PÚBLICA: DETECCIÓN DE CONCENTRACIÓN DE PERSONAS APLICANDO BIG DATA PARA EVITAR BROTES EPIDEMIOLÓGICOS COVID-19

Abstract

The health emergency due to COVID-19 decreed by the Government of Ecuador before the pandemic decreed by the WHO, brought with it a series of activities and plans that generate important information and of general interest for the population. The objective of the research is to analyze how the georeference systems and tools that identify the volume of this informative data allow isolation measures to be taken by health organizations for certain sectors of the country. The methodology used is focused on a quantitative analysis of the statistical data presented by the MSP georeference systems and how important this digital and real-time information is for public health authorities. The results aim to describe the national reality on the dimension of agglomeration of people in the main cities and the detection of epidemiological outbreaks by Covid-19 nationwide from the perception of Big Data digital technology. Concluding in an analysis of the preventive actions taken by the provincial COEs to emphasize whether or not they were effective in preventing further contagion from epidemiological outbreaks due to coronavirus.