Difusão espacial da COVID-19 em Presidente Prudente e Botucatu - São Paulo

• Autor(a) principal: Lima, João Pedro Pereira Caetano de
• Data de Publicação: 2022
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://hdl.handle.net/11449/217928
• topic: Geography of health; Cartography; Geotechnologies; Spatial analysis; Health surveillance; Geografia da saúde; Cartografia; COVID-19; Geotecnologias; Análise espacial; Vigilância em saúde

The present undergratuade thesis was based on the work developed in the scientific initiation project that aimed to compare the epidemiological situation of COVID-19 in Presidente Prudente and Botucatu, São Paulo, from the application of appropriate technical procedures for the spatial analysis of the occurrence of the disease. Through comparative analyses between the two intermediard cities located in the interior of São Paulo, we sought to analyze and discuss the spatial diffusion and spatial distribution of confirmed cases and deaths by COVID-19, relating them to sociodemographic variables from the 2010 Demographic Census for the studied municipalities. By delving into the intraurban scale, we relied on geospatial techniques and tools to explain and correlate key variables for understanding the spatial patterns of the disease. Among the techniques and tools used, the Kernel estimator, spatial autocorrelation analysis and hot spots analysis stand out. Through the results obtained, it was possible to observe a higher concentration of confirmed cases at the edges of the cities and the concentration of deaths in the central regions. In addition, through an analysis of the epidemiological profile of cases and deaths due to COVID-19, it was possible to observe that the younger, non-white, lower-income population express similar spatial pattern to those observed in COVID-19 and its spatial diffusion in the cities studied. As the results are expressed during the work, it is possible to propose a methodological guide of spatial analysis for COVID-19 in both cities, as well as in other outbreaks of diseases in similar situations, serving as a subsidy for epidemiological surveillance teams.