ANÁLISE ESPACIAL DOS CASOS DA COVID-19 E LEITOS DE TERAPIA INTENSIVA NO ESTADO DA BAHIA-BRASIL

• Autor(a) principal: Sampaio, Sarah Andrade
• Data de Publicação: 2021
• Outros Autores: Cunha, Gabriel Carneiro Silva, Reis, Felipe de Souza, Souza , Sirius Oliveira
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Hygeia (Uberlândia)
• Texto Completo: https://seer.ufu.br/index.php/hygeia/article/view/58324
• topic: Bahia; Distribuição espacial; COVID-19

     The present paper aims to analyze the spatial distribution of confirmed cases of COVID-19 in the State of Bahia, between the period of March, 2020 to June, 2020, while it searchs to analyze the critical care beds' distribution of and the population with higher age to 60 years, owing to the possibility of allocating equipment to support intensive health based on the patterns of disease spread and the concentration of the elderly. Therefore, using the data from the Epidemiological Bulletins of the Health Secretariat of the State of Bahia (SESAB, 2020) and the COVID Portal (IBGE, 2020), the tools of the Geographic Information System were used to qualify and analyze the distribution of COVID -19. The results show that the virus's dispersion in the territory's state had a strong relationship with the major road and air routes in the state. Thus, until June 2020, 93.52% of the state's municipalities did not have ICU beds, in addition, alarming data stands out for the number of cases and deaths in the Metropolitan Identity Territory of Salvador, as well as the high incidence rate for the southern region of the state, among others. With regard to the number of ICUs, there is a concentration of beds in the Metropolitan Region of Salvador, while the municipalities with the highest recommendations for the elderly are concentrated in the Midwest of the state, in small municipalities, with fragile health networks, which arouses the need for planning health actions. In the end, this work is legitimized by recognizing spatial patterns of dispersion routes and providing relevant information for understanding and mitigating damage related to the COVID-19's pandemic.