首页> 外文期刊>Cadernos de Saúde Pública >Intraurban differentials in congenital syphilis: a predictive analysis by neighborhood in the city of Rio de Janeiro, BrazilDiferenciales intraurbanos de sífilis congénita: análisis predictivo por barrios del municipio de Río de Janeiro, Brasil
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Intraurban differentials in congenital syphilis: a predictive analysis by neighborhood in the city of Rio de Janeiro, BrazilDiferenciales intraurbanos de sífilis congénita: análisis predictivo por barrios del municipio de Río de Janeiro, Brasil

机译:先天性梅毒中的管道差异:邻里在里约热内卢市中心的邻里预测分析,内部梅毒:巴西里约热内卢市政府街区预测分析

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The study aimed to characterize notified cases of congenital syphilis from 2011 to 2014 in the city of Rio de Janeiro and to analyze possible associations between congenital syphilis and living conditions in the city’s neighborhoods. Cases of congenital syphilis were characterized according to biological and socioeconomic variables and health services use. At the aggregate level, regression tree technique was used for the data analysis, with mean incidence rate (2011-2014) of congenital syphilis as the dependent variable and housing quality, schooling, income, teenage pregnancy, poverty density, access to prenatal care, and skin color as independent variables. The dependent variable was mapped to identify spatial patterns. The SINAN, SINASC, and IBGE databases were used for notifiable diseases, live births, and census data, respectively. A total of 6,274 cases of congenital syphilis were reported, which represents an incidence rate of 17.3 cases/1,000 live births. Cases were distributed in the central, northern peripheral, and western zones of the city, with a high proportion of cases in infants of black mothers with low schooling. There was also a high proportion of pregnant women with late diagnosis of syphilis and inadequate treatment. At the aggregate level, the most relevant variable for explaining the problem was the low proportion of pregnant women with at least 7 prenatal visits. The analysis allowed the identification of marginalized population segments and can help direct public health resources more effectively.
机译:该研究旨在在2011年至2014年在里约热内卢市将先天性梅毒的通知案例表征,并分析了市内附近先天梅毒与生活条件的可能协会。根据生物和社会经济变量和卫生服务使用表征先天性梅毒的病例。在总级别,回归树技术用于数据分析,具有先天性梅毒的平均发病率(2011-2014)作为依赖变量和住房质量,学校教育,收入,少女怀孕,贫困密度,获得产前护理,和肤色作为独立变量。从属变量映射以识别空间模式。 Sinan,Sinasc和Ibge数据库分别用于概念疾病,活产出生物和人口普查数据。报告了总共6,274例先天性梅毒,其发病率为17.3例/ 1,000个活产。案件分布在城市的中央,北方外围和西部地区,具有低于学业的黑母亲婴幼儿比例的案例。孕妇患有高比例的孕妇诊断梅毒和治疗不足。在汇总层面,用于解释问题的最相关变量是至少有7个产前访问的孕妇的低比例。分析允许识别边缘化的人口段,可以更有效地帮助直接公共卫生资源。

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