Health Sciences Graduate Program, Federal University of Sergipe.
Graduate Nursing Program, Federal University of Sergipe.
Geospat Health. 2023 Jul 13;18(2). doi: 10.4081/gh.2023.1206.
The article presents an analysis of the spatial distribution of mortality from COVID-19 and its association with socioeconomic indicators in the north-eastern region of Brazil - an area particularly vulnerable with regard to these indicators. This populationbased ecology study was carried out at the municipal level in the years 2020 and 2021, with analyses performed by spatial autocorrelation, multiple linear regression and spatial autoregressive models. The results showed that mortality from COVID-19 in this part of Brazil was higher in the most populous cities with better socioeconomic indicators. Factors such as the onset of the COVID-19 pandemic in large cities, the agglomerations existing within them, the pressure to maintain economic activities and mistakes in the management of the pandemic by the Brazilian federal Government were part of the complex scenario related to the spread of COVID-19 in the country and this study was undertaken in an attempt to understand this situation. Analysing the different scenarios is essential to face the challenges posed by the pandemic to the world's health systems.
本文分析了 COVID-19 死亡率在巴西东北部地区的空间分布及其与社会经济指标的关联，该地区在这些指标方面特别脆弱。这项基于人群的生态学研究在 2020 年和 2021 年在市级层面进行，通过空间自相关、多元线性回归和空间自回归模型进行分析。结果表明，巴西东北部地区 COVID-19 死亡率在人口最多、社会经济指标较好的城市较高。大城市 COVID-19 疫情的爆发、城市内部的聚集、维持经济活动的压力以及巴西联邦政府在疫情管理方面的失误等因素，是与 COVID-19 在该国传播有关的复杂情况的一部分，本研究旨在试图了解这种情况。分析不同的情况对于应对大流行对世界卫生系统带来的挑战至关重要。
