COVID-19 AND ITS CORRELATION WITH DEMOGRAPHIC AND SOCIOECONOMIC INDICATORS IN BRAZIL
COVID-19, SARS-CoV 2, Social Inequalities, Syndemic, Network Analysis.
The COVID-19 pandemic has affected the world population not only in terms of health, but has also affected socioeconomic and political aspects. Even with protective measures, the virus was not contained, causing deaths and other diseases that were not directly caused by the coronavirus. Despite being a disease that can affect any human being, studies show that infectious diseases disproportionately affect the poorest and that there is a relationship between socioeconomic inequalities and the health of the population. In view of this, this research proposes to assess whether there is a correlation between socioeconomic and demographic data and the aggravation of COVID-19 in different regions of Brazil. Therefore, a descriptive and network statistical analysis will be performed between the number of SARS cases, deaths and patient characteristics, such as gender (SX), race, age (ID), risk factor (FTR) and education (ESC), whose data will be obtained from the DATASUS Panel of the Ministry of Health, and socioeconomic and demographic indicators (Social Vulnerability Index (SVI), Household Density (DMD) and Gini Index (GI)), to be obtained through the Brazilian Institute of Geography and Statistics (IBGE) and the Institute of Applied Research (IPEA). The results of the analyzes will demonstrate how COVID-19 affects the most vulnerable populations, dealing with the specificities of each region of the country, which will contribute to the adoption of measures by public authorities in the creation of management policies capable of reducing the spread not only of this disease, but also to prevent outbreaks of other viruses.