Objective: To assess the impact and correlation of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil. Methods: The Gini Coefficient (GC), the Social Vulnerability Index (SVI), epidemiological data on COVID-19 epidemic in Brazil, and the Social Distancing Index (SDI) were retrieved from online databases and assessed for each Brazilian state. Data was statistically analyzed through non-parametric tests and multiple linear regressions. Results: The mean values for the GC and SVI were 0.495 and 0.261, respectively. A positive statistically significant correlation between the socioeconomic indicators and the three variables related to the COVID-19 outbreak was found. States with very low social vulnerability presented fewer deaths per 100 thousand inhabitants due to COVID-19 than states with moderate social vulnerability. SVI was a predictor of accumulated cases, confirmed deaths, and social distancing in Brazilian states during COVID-19. Conclusions: The COVID-19 outcomes and SDI in Brazilian states are correlated to the socioeconomic condition. The pandemic impacts are more severe in less favored communities.
O objetivo deste artigo foi descrever as características clínicas e demográficas de pessoas com deficiência atendidas em uma clínica-escola de Odontologia do Nordeste brasileiro, relacionando estes perfis às necessidades acumuladas e aos tratamentos realizados no período de março a julho de 2019. Tratou-se de um estudo de análise de banco de dados no qual foram avaliados os prontuários em relação a sexo, idade, diagnóstico médico, uso de medicamentos, motivo da consulta e tratamentos realizados. Foi utilizada uma amostra de conveniência de 55 prontuários, referentes aos indivíduos em atendimento neste período. Os testes Qui-quadrado e exato de Fisher foram utilizados para verificar associação entre as variáveis estudadas. Foi adotado o intervalo de confiança de 95% e a margem de erro de 5%. Verificou-se que a maioria dos pacientes era do sexo masculino (52,7%) e possuía entre 20 e 59 anos (54,5%). As patologias de base de maior prevalência foram as doenças sistêmicas (34,5%) e deficiência intelectual (32,7%). Em relação às medicações, 80% faziam uso contínuo de algum fármaco. A respeito das consultas odontológicas, a procura de 60% da amostra foi por motivo de dor e os procedimentos mais realizados, os restauradores (63,6%). Além disso, a estabilização física e sedação medicamentosa foram amplamente utilizadas nos pacientes com deficiência intelectual. O atendimento odontológico incluiu pacientes com diversas necessidades especiais e, apesar da clínica-escola em questão priorizar a conduta preventiva, a maior parte dos procedimentos executados foi curativo, podendo estar relacionado com a procura tardia pelo tratamento odontológico e dificuldades de acesso.
Online-available information has been considered an accessory tool to estimate epidemiology and collect data on diseases and population behavior patterns. This study aimed to explore the potential use of Google and YouTube relative search volume to predict social distancing index in Brazil during COVID-19 outbreak and verify the correlation between social distancing measures with the course of the epidemic. Data concerning the social distancing index, epidemiological data on COVID-19 in Brazil and the search engines trends for Coronavirus were retrieved from online databases. Multiple linear regression was performed and resulted in a statistically significant model evidencing that Google and YouTube relative search volumes are predictors of the social distancing index. The Spearman correlation test revealed a weak correlation between social distancing measures and the course of the COVID-19 epidemic. Health authorities can apply these data to define the proper timing and location for practicing appropriate risk communication strategies.
Due to the persistently high cases and deaths, Brazil became one of the worst countries affected by the COVID-19 pandemic. Understanding the possible health inequities is essential, given the population's diversity and the country's fragile socioeconomic situation. Thus, this study aimed to assess the impact and correlation of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil. The Gini Coefficient (GC), the Social Vulnerability Index (SVI), epidemiological data on the COVID-19 epidemic in Brazil, and the Social Distancing Index (SDI) were retrieved from online databases and assessed for each Brazilian state. Data was statistically analyzed through non-parametric tests and multiple linear regressions. The mean values for the GC and SVI were 0.495 and 0.261, respectively. A positive statistically significant correlation was found between the socioeconomic indicators and the three variables related to the COVID-19 outbreak. States with very low social vulnerability presented fewer deaths per 100 thousand inhabitants due to COVID-19 than states with moderate social vulnerability. SVI was a predictor of accumulated cases, confirmed deaths, and social distancing. The COVID-19 outcomes and SDI in Brazilian states are correlated to socioeconomic conditions. The pandemic impacts are more severe on less favored communities.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.