Banca de DEFESA: KRISHNAMAHRA DE ALMEIDA GONÇALVES

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : KRISHNAMAHRA DE ALMEIDA GONÇALVES
DATE: 02/09/2022
TIME: 14:00
LOCAL: PLATAFORMA GOOGLE MEET
TITLE:

AGGRAVATION OF COVID-19 AND ITS CORRELATION WITH DEMOGRAPHIC AND SOCIOECONOMIC INDICATORS IN BRAZIL

KEY WORDS:

COVID-19; SARS-CoV-2; Socioeconomic inequalities; Syndemic; Network analysis.

PAGES: 80
BIG AREA: Outra
AREA: Ciências Ambientais
SUMMARY:

The COVID-19 pandemic was caused by the spread of SARS-CoV-2, a coronavirus that is transmitted between humans, primarily by inhalation of aerosols or ingestion of droplets, but also via the fecal-oral route or contact with contaminated surfaces. The disease has affected the world population not only with regard to health, but also socioeconomic and political aspects. Even with protective measures, the virus was not contained, causing deaths and other illnesses that were not directly caused by SARS-CoV-2. Although it can affect any human being, studies show that some infectious diseases disproportionately affect the poorest people and that there is a relationship between socioeconomic inequalities and the health of the population. In addition, the interactions between social and biological processes, where health problems interact with each other, and adverse social conditions exacerbate the effects on health, make COVID-19 characterized as a syndemic rather than a disease. pandemic. In view of this, this research assesses whether there is a correlation between socioeconomic and demographic indicators with the worsening of COVID-19 in different regions of Brazil. For this purpose, a descriptive statistical analysis and analysis of complex networks were performed between the number of cases of Severe Acute Respiratory Syndrome, deaths and patient characteristics, such as sex, race, age, risk factor and education, and socioeconomic and demographic indicators. The results of the analyzes showed the different ways that COVID-19 reached the most vulnerable populations, dealing with the specificities of each region of the country, and that the variables with the greatest importance in the system were the Social Vulnerability Index, the Gini Index and the Density of Residents by Household Room. Such results may contribute to the adoption of public policies capable of reducing the spread of COVID-19, in addition to preventing outbreaks of other viruses.

BANKING MEMBERS:
Interna - 1350490 - ESTELITA LIMA CANDIDO
Externo ao Programa - 1353803 - LUIZ ALBERTO RIBEIRO MENDONCA
Presidente - 1337574 - MARIA GORETHE DE SOUSA LIMA BRITO
Externo à Instituição - PAULO FELIPE RIBEIRO BANDEIRA