Engenharia Biomédica
URI permanente para esta coleçãohttps://repositorioacademico.universidadebrasil.edu.br/handle/123456789/33
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3 resultados
Resultados da Pesquisa
Item Análises epidemiológica e espacial da Covid-19 no Estado do Piauí(Universidade Brasil, 2021) Macedo, Glauber Bezerra; Tim, Carla Roberta; Garcia, Lívia AssisThe emergence of a new coronavirus in humans, first diagnosed in 2019, has many deaths and serious survival and psychosocial consequences. Through statistical tools and techniques associated with geographic technologies, this ecological, analytical and exploratory study is being developed, whose general objective is to carry out epidemiological and spatial analyzes of the distribution of confirmed cases and deaths from Coronavirus 2019 disease (Coronavirus Disease 2019 - COVID-19), in the year 2020, in the state of Piauí, Brazil. The variables listed are being assigned via the IBGE and SESAPI database. All confirmed cases and deaths with COVID-19 infection that were reported in 2020 in that state were included in the study. In the epidemiological analyzes descriptive statistics were carried out and in the spatial analyses, maps are being constructed using geoprocessing techniques, through the statistical analysis of Moran Global and Local. Preliminary results showed that, in 2020, 143,179 confirmed cases and 2,840 deaths caused by COVID-19 were reported in Piauí. A higher percentage of cases was observed in relation to females, young adults, and deaths in elderly, males, with chronic diseases. The capital Piauiense led the number of cases and deaths from the disease, probably due to the high population density. However, when considering the incidence and mortality coefficients of COVID-19, the highest rates in the state were considered in the municipalities of União and Água Branca, respectively. The spatial analysis of the cases showed clusters of high-high pattern of cases of the disease in the metropolitan region of Teresina, the region between Rios and the region of Tabuleiros do Alto do Parnaíba. A high-high cluster for mortality was verified in fillings in the region of Entre Rios and Vale do Sambito. The analyzes performed provided the visualization of spatial clusters and an identification of vulnerable areas, resulting in information that was not visualized working only with tabular data.Item COVID-19 e os mecanismos de infecção relacionados aos hábitos e estilo de vida(Universidade Brasil, 2022) Carvalho, Jucilene Santos de; Santos, Laurita dosThe COVID-19 pandemic presented itself as a major public health problem for Brazil and the world. It had an impact on health indicators such as morbidity, mortality and health expenditures, and important economic impacts related to the closure of establishments and social isolation. Given this scenario, this research was proposed for the municipality of São Caetano de Sul with the objective of analyzing the relationship between behaviors and life habits of people with coronavirus infection, and comparing the data between two specific moments of circulation of different variants. – Delta and Omicrôn. The data presented in this research are the result of 496 valid interviews. In all, there were 218 positive tests for COVID-19 and 278 negative ones. Among the positives, 44 during the circulation of the Delta variant and 176 during the circulation of the Omicrôn variant. The data analyzed and presented demonstrate how the universe of coronavirus infection is multifactorial and dependent on many conditions. This characteristic is even accentuated when the scenarios of two circulations of different variants are compared, as presented in the study. Some data are similar to what the pandemic presented at a global level (such as data related to gender), but others are well circumscribed to the Brazilian reality, or even regional, considering the region of residence where the participants lived (such as data related to race/color). Some behaviors associated with coronavirus control in national and international literature did not have similar results in this research, such as the number of vaccine doses, social isolation and working conditions. There was no significant variation between respondents who tested positive or negative. This situation can be explained by the profile of the respondents of this survey: they were symptomatic people who sought a diagnostic support service to find out whether or not they were contaminated by the coronavirus.Item Análises epidemiológica e espacial da Covid-19 no Estado do Piauí(Universidade Brasil, 2021) Macedo, Glauber Bezerra; Garcia, Lívia Assis; Tim, Carla RobertaThe emergence of a new coronavirus in humans, first diagnosed in 2019, has many deaths and serious survival and psychosocial consequences. Through statistical tools and techniques associated with geographic technologies, this ecological, analytical and exploratory study is being developed, whose general objective is to carry out epidemiological and spatial analyzes of the distribution of confirmed cases and deaths from Coronavirus 2019 disease (Coronavirus Disease 2019 - COVID-19), in the year 2020, in the state of Piauí, Brazil. The variables listed are being assigned via the IBGE and SESAPI database. All confirmed cases and deaths with COVID-19 infection that were reported in 2020 in that state were included in the study. In the epidemiological analyzes descriptive statistics were carried out and in the spatial analyses, maps are being constructed using geoprocessing techniques, through the statistical analysis of Moran Global and Local. Preliminary results showed that, in 2020, 143,179 confirmed cases and 2,840 deaths caused by COVID-19 were reported in Piauí. A higher percentage of cases was observed in relation to females, young adults, and deaths in elderly, males, with chronic diseases. The capital Piauiense led the number of cases and deaths from the disease, probably due to the high population density. However, when considering the incidence and mortality coefficients of COVID-19, the highest rates in the state were considered in the municipalities of União and Água Branca, respectively. The spatial analysis of the cases showed clusters of high-high pattern of cases of the disease in the metropolitan region of Teresina, the region between Rios and the region of Tabuleiros do Alto do Parnaíba. A high-high cluster for mortality was verified in fillings in the region of Entre Rios and Vale do Sambito. The analyzes performed provided the visualization of spatial clusters and an identification of vulnerable areas, resulting in information that was not visualized working only with tabular data.