Andrade C L, Szwarcwald C L
Departamento de Informações em Saúde, Centro de Informação Científica e Tecnológica, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 21045-900, Brasil.
Cad Saude Publica. 2001 Sep-Oct;17(5):1199-210. doi: 10.1590/s0102-311x2001000500020.
The objective of this study was to establish the spatial distribution of the early neonatal mortality rate (0-3 days) in the municipality of Rio de Janeiro for 1995-1996, identifying the best explanatory factors for spatial variations. By considering Rio de Janeiro's 153 neighborhoods as ecological units of analysis, socioeconomic and maternal indicators were analyzed according to place of residence. Spatial statistical analysis was performed using the Cliff & Ord methodology, appropriate for lattice data. From the 0-3 day mortality thematic map, we clearly identified two clusters of high early neonatal mortality rates. Spatial dependence was also confirmed by the statistical results of the spatial analysis. The variables that explain the clusters are the proportions of "adolescent mothers", "slum-dwellers", and "heads of households below the poverty level". Spatial statistics provided a better understanding of the geographic distribution of early neonatal mortality and suggested potential hypotheses for further investigation, which could support preventive programs and contribute to a decrease in infant mortality.
本研究的目的是确定1995 - 1996年里约热内卢市早期新生儿死亡率(0 - 3天)的空间分布,找出空间差异的最佳解释因素。将里约热内卢的153个社区作为生态分析单位,根据居住地点分析社会经济和孕产妇指标。使用适用于格网数据的克里夫和奥德方法进行空间统计分析。从0 - 3天死亡率专题地图中,我们清楚地识别出两个早期新生儿死亡率高的聚集区。空间分析的统计结果也证实了空间依赖性。解释这些聚集区的变量是“青少年母亲”、“贫民窟居民”和“贫困线以下家庭户主”的比例。空间统计有助于更好地理解早期新生儿死亡率的地理分布,并为进一步调查提出潜在假设,这可为预防计划提供支持并有助于降低婴儿死亡率。