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五岁以下儿童死亡率的空间分布变化:对非洲 35 个国家 262 个次区域的 122 次 DHS 调查的小区域分析。

Changes in the spatial distribution of the under-five mortality rate: Small-area analysis of 122 DHS surveys in 262 subregions of 35 countries in Africa.

机构信息

Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America.

Department of Statistics, University of Washington, Seattle, Washington, United States of America.

出版信息

PLoS One. 2019 Jan 22;14(1):e0210645. doi: 10.1371/journal.pone.0210645. eCollection 2019.

Abstract

The under-five mortality rate (U5MR) is a critical and widely available population health indicator. Both the MDGs and SDGs define targets for improvement in the U5MR, and the SDGs require spatial disaggregation of indicators. We estimate trends in the U5MR for Admin-1 subnational areas using 122 DHS surveys in 35 countries in Africa and assess progress toward the MDG target reductions for each subnational region and each country as a whole. In each country, direct weighted estimates of the U5MR from each survey are calculated and combined into a single estimate for each Admin-1 region across five-year periods. Our method fully accounts for the sample design of each survey. The region-time-specific estimates are smoothed using a Bayesian, space-time model that produces more precise estimates (when compared to the direct estimates) at a one-year scale that are consistent with each other in both space and time. The resulting estimated distributions of the U5MR are summarized and used to assess subnational progress toward the MDG 4 target of two-thirds reduction in the U5MR during 1990-2015. Our space-time modeling approach is tractable and can be readily applied to a large collection of sample survey data. Subnational, regional spatial heterogeneity in the levels and trends in the U5MR vary considerably across Africa. There is no generalizable pattern between spatial heterogeneity and levels or trends in the U5MR. Subnational, small-area estimates of the U5MR: (i) identify subnational regions where interventions are still necessary and those where improvement is well under way; and (ii) countries where there is very little spatial variation and others where there are important differences between subregions in both levels and trends. More work is necessary to improve both the data sources and methods necessary to adequately measure subnational progress toward the SDG child survival targets.

摘要

五岁以下儿童死亡率(U5MR)是一个关键且广泛适用的人口健康指标。千年发展目标和可持续发展目标都为改善 U5MR 设定了目标,可持续发展目标要求对指标进行空间分解。我们使用非洲 35 个国家的 122 次 DHS 调查来估计省级行政区的 U5MR 趋势,并评估每个省级行政区和整个国家在实现千年发展目标减少目标方面的进展情况。在每个国家,我们从每个调查中直接计算 U5MR 的加权估计,并将其组合成每个省级行政区在五年期间的单一估计。我们的方法充分考虑了每个调查的样本设计。使用贝叶斯时空模型对区域-时间特定估计值进行平滑处理,该模型在一年的时间尺度上产生更精确的估计值(与直接估计值相比),并且在空间和时间上都是一致的。对 U5MR 的估计分布进行总结,并用于评估在 1990-2015 年期间,千年发展目标 4 中 U5MR 减少三分之二的目标在省级行政区的进展情况。我们的时空建模方法具有可操作性,可以很容易地应用于大量样本调查数据。非洲各地省级行政区的 U5MR 水平和趋势存在显著的空间异质性。U5MR 的空间异质性与水平或趋势之间没有一般规律。U5MR 的省级行政区、小区域估计值:(i)确定仍需要干预的省级行政区和改善进展良好的省级行政区;(ii)确定空间变异很小的国家和其他省级行政区之间在水平和趋势上存在重要差异的国家。需要进一步努力改进数据来源和方法,以充分衡量在实现可持续发展目标儿童生存目标方面在省级行政区的进展情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0366/6342310/eb9b75f1bb31/pone.0210645.g001.jpg

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