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首页> 外文期刊>Geospatial Health >Survived infancy but still vulnerable: spatial-temporal trends and risk factors for child mortality in the Agincourt rural sub-district, South Africa, 1992-2007
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Survived infancy but still vulnerable: spatial-temporal trends and risk factors for child mortality in the Agincourt rural sub-district, South Africa, 1992-2007

机译:幸存的婴儿期但仍然脆弱:1992-2007年南非阿金库特农村分区的时空趋势和儿童死亡的危险因素

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Targeting of health interventions to poor children at highest risk of mortality are promising approaches for enhancing equity. Methods have emerged to accurately quantify excess risk and identify space-time disparities. This provides useful and detailed information for guiding policy. A spatio-temporal analysis was performed to identify risk factors associated with child (1-4 years) mortality in the Agincourt sub-district, South Africa, to assess temporal changes in child mortality patterns within the study site between 1992 and 2007, and to produce all-cause and cause-specific mortality maps to identify high risk areas. Demographic, maternal, paternal and fertility-related factors, household mortality experience, distance to health care facility and socio-economic status were among the examined risk factors. The analysis was carried out by fitting a Bayesian discrete time Bernoulli survival geostatistical model using Markov chain Monte Carlo simulation. Bayesian kriging was used to produce mortality risk maps. Significant temporal increase in child mortality was observed due to the HIV epidemic. A distinct spatial risk pattern was observed with higher risk areas being concentrated in poorer settlements on the eastern part of the study area, largely inhabited by former Mozambican refugees. The major risk factors for childhood mortality, following multivariate adjustment, were mother’s death (especially when due to HIV and tuberculosis), greater number of children under 5 years living in the same household and winter season. This study demonstrates the use of Bayesian geostatistical models for accurately quantifying risk factors and producing maps of child mortality risk in a health and demographic surveillance system. According to the space-time analysis, the southeast and upper central regions of the site appear to have the highest mortality risk. The results inform policies to address health inequalities in the Agincourt sub-district and to improve access to health services. Targeted efforts to prevent vertical transmission of HIV in specific settings need to be undertaken as well as ensuring the survival of the mother and father in childhood.
机译:针对有最高死亡风险的贫困儿童采取卫生干预措施是提高公平性的有前途的方法。已经出现了精确量化过量风险并识别时空差异的方法。这为指导政策提供了有用且详细的信息。进行了时空分析,以确定与南非阿金库特分区儿童(1-4岁)死亡率相关的危险因素,以评估1992年至2007年研究地点儿童死亡率模式的时间变化,以及绘制所有原因和特定原因的死亡率图,以识别高风险区域。与人口,孕产,父亲和生育有关的因素,家庭死亡率的经验,与医疗机构的距离以及社会经济状况都是被检查的危险因素。通过使用马尔可夫链蒙特卡洛模拟拟合贝叶斯离散时间伯努利生存地统计模型进行分析。贝叶斯克里金法用于产生死亡风险图。由于艾滋病毒的流行,儿童死亡率出现了暂时性的增加。观察到明显的空间风险模式,高风险区集中在研究区东部较贫穷的住区,主要由前莫桑比克难民居住。经过多变量调整后,导致儿童死亡的主要风险因素是母亲的死亡(尤其是由于艾滋病毒和结核病导致的死亡),同一家庭和冬季居住的5岁以下儿童数量增加。这项研究证明了使用贝叶斯地统计学模型在健康和人口监测系统中准确量化风险因素并绘制儿童死亡风险图。根据时空分析,该地点的东南部和上中部地区似乎具有最高的死亡风险。结果为制定政策解决阿金库尔(Agincourt)街道的健康不平等问题和改善获得卫生服务的机会提供了信息。必须采取有针对性的努力,以防止在特定环境中垂直传播艾滋病毒,并确保父母在儿童时期的生存。

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