Big Data Analysis Of The Epidemiological Behavior Of Sars-Cov2 In A Low Complexity Ips In The City Of Sincelejo

Abstract

Since its emergence in December 2019, the SARS-CoV-2 virus, responsible for COVID-19 disease, has been the subject of intense epidemiological study worldwide. Knowledge about the transmission, clinical features, and risk factors associated with the disease enables health care professionals and policy makers to design effective strategies to control the spread of the disease. This article shows an analysis through Big Data software, of data collected in a low complexity IPS in the city of Sincelejo - Colombia. The dashboard generated will allow analysis that will help in decision making.