Banca de DEFESA: RAFAEL DA SILVA FARIA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : RAFAEL DA SILVA FARIA
DATE: 07/06/2023
TIME: 14:00
LOCAL: Plataforma Teams
TITLE:

Analysis of the spatial distribution of SARS-CoV-2 seroprevalence in a socioeconomically vulnerable population in the Federal District, Brazil

KEY WORDS:

Spatial distribution, seroprevalence, SARS-CoV-2, COVID-19

PAGES: 125
BIG AREA: Ciências da Saúde
AREA: Medicina
SUMMARY:

Introduction: The SARS-COV-2 virus spread throughout the Federal District, reaching
the SCIA/Estrutural Administrative Region, a socioeconomically vulnerable region. The
majority of individuals affected by SARS-CoV-2 are asymptomatic, and due to the lack
of apparent symptoms, they do not seek medical assistance. As a result, a considerable
amount of asymptomatic individuals are not detected, leading to underreporting. In this
context, the use of seroprevalence surveys to detect the presence of antibodies against
the virus in the population is extremely relevant, aiming to estimate the number of
people who have been infected. In general, the research aims to determine the
seroprevalence of SARS-CoV-2 and stratify the risk of infection in the Estrutural
population. Methods: A seroepidemiological survey was conducted in Estrutural
between May 27th and September 19th, 2021, applying questionnaires and collecting
blood samples for serological testing of IgG antibodies for SARS-CoV-2. The sample
consisted of 1057 participants for prevalence estimation and statistical analysis, and
1054 participants for spatial analysis. The collection locations were previously randomly
selected. At the residence, participant selection was randomly defined using a table of
random numbers. The prevalence in the population was estimated, and a binary logistic
regression model was applied. The spatial distribution analysis of cases was performed
with the creation of a Kernel density map, and the spatial Scan statistic was applied.
Results: Of the 1057 participants, 202 had a positive serological result for SARS-CoV-
2. The estimated prevalence was 19.11% (95% CI; 16.85% to 21.59%). When
considering a possible influence of the CoronaVac vaccine, the prevalence was estimated at 17.03% (95% CI; 14.83% to 19.46%). In the logistic regression model, a negative association was found between positive cases and having a monthly income of up to one minimum wage (OR = 0.46; 95% CI 0.25 to 0.83), being the only statistically significant category in all models (p = 0.01). The spatial analysis with the Kernel density estimator shows that Chácara Santa Luzia is the region with the highest density of SARS-CoV-2 infection. The Scan spatial statistic showed a cluster in the Santa Luzia region, but it was not statistically significant (p = 0.5). However, the Scan statistic showed a 5.33 higher relative risk within the cluster radius when compared to the exterior. Conclusion: The study shows the existence of a high prevalence of SARS- CoV-2 virus infection in the SCIA/Estrutural Administrative Region. The result is concerning because it is a region of high socioeconomic vulnerability. The protective effect presented by lower income raises the discussion about the relationship between low income and social isolation. The spatial analysis shows a region with a higher density of cases and also a cluster of higher risk of SARS-CoV-2 infection in the Santa Luzia region. This finding goes against our main hypothesis, that the distribution of positive cases of SARS-CoV-2 infection in the Estrutural Administrative Region is not homogeneous and not random.

BANKING MEMBERS:
Presidente - 1773755 - WALTER MASSA RAMALHO
Interna - 484663 - ELISABETH CARMEN DUARTE
Externa à Instituição - ANA IZABEL PASSARELLA TEIXEIRA
Externo à Instituição - Carlos Frederico Campelo de Albuquerque e Melo - OPAS