Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add filters

Document Type
Year range
1.
Atoz-Novas Praticas Em Informacao E Conhecimento ; 9(2):216-223, 2020.
Article in Portuguese | Web of Science | ID: covidwho-1089114

ABSTRACT

Introduction: at the end of 2019, the world was affected by the emergence of a disease, Covid-19, which is caused by the new coronavirus SARSCOV-2, being initially detected in China and later becoming a pandemic, as the disease crossed several borders. Studies made it clear that gender, class and race present conditions of vulnerability concerning Covid-19 exposure, and studies contribute to the identification of vulnerable groups. Given the above, it carries out a cross-sectional study of all confirmed cases to analyze the sociodemographic characteristics and the distribution of confirmed cases of Covid-19 in the municipalities of Espirito Santo (ES). Method: the study is a cross-sectional observational research, developed in two methodological steps. The first intends to obtain the database from the Secretary of State for Health of Espirito Santo (SESA) of confirmed cases carried out on 06/01/2020. The second stage included the recording, ordering and distribution of sociodemographic characteristics, statistical analysis of the information treated in Microsoft Excel and SPSS. Results: up to 05/31/2020, there were 13,386 confirmed cases of Covid-19 of residents in ES. The predominant sociodemographic profile among patients is brown and black (39.4%), with complete secondary education (26.4%), between 20 and 39 years old (39.7%) and female (54.1%). Conclusions: over the initial three months of the Covid-19 pandemic, we can see the different impacts among population groups due to several factors. As it deals with a disease that has high spread by contact, populous regions such as the metropolitan region of Vitoria-ES have the largest number of cases within ES.

SELECTION OF CITATIONS
SEARCH DETAIL