Detalhes bibliográficos
| Ano de defesa: |
2022 |
| Autor(a) principal: |
Sardeiro, Simone Soraia Silva |
| Orientador(a): |
Souza, Rosemeri Melo e |
| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Tese
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Não Informado pela instituição
|
| Programa de Pós-Graduação: |
Pós-Graduação em Desenvolvimento e Meio Ambiente
|
| Departamento: |
Não Informado pela instituição
|
| País: |
Não Informado pela instituição
|
| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Palavras-chave em Espanhol: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://ri.ufs.br/jspui/handle/riufs/16235
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Resumo: |
Across the world, healthcare systems have faced challenges due to the COVID-19 Pandemic. We often attribute health inequalities to the social and economic environments in which individuals live and neighborhoods can be a relevant concept due to the potential links between their characteristics and health problems. Spatial analysis can provide useful information about the effects of contextual neighborhood factors on health using sophisticated techniques and advanced statistical methods. The aim of this thesis was to answer two empirical research questions: 1. Examine at a geographic level of 'neighborhood' deprivation factors such as income, education and basic sanitation; factors that affected the number of deaths and infections by neighborhood; 2. Identifying spatial patterns of deprivation and lethality and assessing the degree of spatial autocorrelation of COVID-19 and area measures. The thesis uses data collected from a variety of sources and performs various statistical analyzes that, in combination with spatial analysis methods (cluster identification, spatial autocorrelation and spatial maps) at a detailed geographic level, at the neighborhood level to respond to important and environmental health issues. The socio-environmental indicator of deprivation had an impact on the lethality rate. Those who live in the poorest parts of Aracaju appear to have poorer health across the board. Those living in the most socially fragmented parts of the country appeared to be more prone to the fatality rate. There was substantial variation in health outcomes, with large disease clusters indicating that some areas have higher levels of health inequality. Neighborhood-level contextual factors can provide useful information for policymakers and commissioners seeking to address environmental health inequalities at the local level. To understand the complex spatial pattern of health and address socio-environmental inequalities, a combination of strategies and interventions is likely to be needed. The methods described in this thesis can be particularly useful as they can be applied in a variety of healthcare settings. The socioeconomic environments in which individuals live are prominently modifiable by policy, so social and economic interventions can have a potential positive impact on health. |
