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Global Age Patterns of Under-Five Mortality

全球五岁以下儿童死亡率的年龄模式

基本信息

批准号：
10472250
负责人：
MICHEL GUILLOT
金额：
$ 4.14万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-01 至 2023-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10472250
关键词：
5 year old Address Administrative Supplement Age Age-Years Birth Birth History Categories Cause of Death Cessation of life Child Child Health Child Mortality Cohort Studies Consequentialism Country Data Databases Demographic and Health Surveys Developing Countries Event Geographic Locations Goals Gold Health Health Policy Household Human Individual Infant Mortality Intervention Knowledge Lead Life Literature Live Birth Measures Methods Modeling Monitor Neonatal Mortality Nepal Parents Participant Pattern Play Population Pregnancy Pregnancy Histories Pregnancy Outcome Recording of previous events Reporting Role Rural Sampling Source Surveys System Systematic Bias Time Time trend age group data modeling improved low and middle-income countries mortality mortality risk neonatal death parent project prospective public health relevance sex stillbirth tool trend

项目摘要

Project Summary The Under-5 Mortality Rate (U5MR) is a key and widely-used indicator of child health, but it conceals important information about how this mortality is distributed by age. For better understanding and monitoring of child health, it is critical to examine how the risk of death varies within the 0-5 age range. This includes age breakdowns beyond the standard cut-off points of 28 days (for neonatal mortality) and 1 year (for infant mortality). In many populations, however, the age pattern of under-5 mortality is not well known. Less- developed countries, in particular, lack the high-quality detailed vital registration information necessary for the analysis of such age patterns. Sample surveys collecting retrospective birth histories do not satisfactorily fill this gap, because they are subject to systematic biases that are particularly consequential for estimating age patterns. This makes the need for high-quality information on age patterns of under-5 mortality even more critical, because regularities in these age patterns can be used as a powerful tool for evaluating and correcting data when sources are deficient. In the parent project of this competing revision application, we are improving our understanding of age patterns of under-5 mortality by: gathering the largest database to date on high- quality global mortality information by detailed age (by days, weeks, months, and years of age) from birth until age 5, by sex; developing models summarizing regularities about how under-5 mortality is distributed by detailed age in human populations; using these models for evaluating and correcting under-5 mortality information by detailed age in less-developed countries; addressing specific substantive questions about how and why age patterns of under-5 mortality vary by sex, time, and place, with important programmatic implications. The goal of this administrative supplement project is to expand the aims of the parent project by tracking and retrospectively obtaining a pregnancy and birth history (as used in the DHS) with selected participants (live births, stillbirths and neonatal deaths) from a prospective pregnancy cohort study in rural Nepal. This will help us determine if the DHS over or underestimates neonatal mortality and whether misclassification of stillbirths and early neonatal deaths plays a role. These results will add to the literature on the validity of DHS vital event estimation.

项目概要 5 岁以下儿童死亡率 (U5MR) 是儿童健康的一项重要且广泛使用的指标，但它掩盖了有关死亡率如何按年龄分布的重要信息。为了更好地理解和监控对于儿童健康而言，研究 0-5 岁年龄范围内死亡风险的变化至关重要。这包括年龄超过 28 天（新生儿死亡率）和 1 年（婴儿死亡率）标准分界点的故障死亡）。然而，在许多人群中，5 岁以下儿童死亡率的年龄模式尚不清楚。较少的- 尤其是发达国家，缺乏必要的高质量、详细的生命登记信息。分析此类年龄模式。收集回顾性出生史的抽样调查未能令人满意地填补这种差距，因为它们容易受到系统偏差的影响，这对于估计年龄尤其重要模式。这使得更加需要有关 5 岁以下死亡率年龄模式的高质量信息至关重要，因为这些年龄模式的规律性可以用作评估和纠正的有力工具数据源不足时的数据。在这个竞争性修订应用程序的父项目中，我们正在改进我们通过以下方式了解 5 岁以下死亡率的年龄模式：收集迄今为止最大的高死亡率数据库按详细年龄（按天、周、月和岁）从出生到 5岁，按性别分类；开发模型，总结 5 岁以下儿童死亡率的分布规律人口的详细年龄；使用这些模型评估和纠正 5 岁以下儿童死亡率欠发达国家的详细年龄信息；解决关于如何以及为什么 5 岁以下儿童死亡率的年龄模式会因性别、时间和地点的不同而不同，其中有重要的规划影响。该行政补充项目的目标是通过以下方式扩展父项目的目标：跟踪并回顾性地获取怀孕和出生史（如 DHS 中使用的）农村前瞻性妊娠队列研究的参与者（活产、死产和新生儿死亡）尼泊尔。这将帮助我们确定国土安全部是否高估或低估了新生儿死亡率以及是否死产和早期新生儿死亡的错误分类起了一定作用。这些结果将添加到相关文献中 DHS 生命事件估计的有效性。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Modeling Age Patterns of Under-5 Mortality: Results From a Log-Quadratic Model Applied to High-Quality Vital Registration Data.

DOI：
10.1215/00703370-9709538
发表时间：
2022-02-01
期刊：
Demography
影响因子：
3.5
作者：
Guillot M;Romero Prieto J;Verhulst A;Gerland P
通讯作者：
Gerland P

Age patterns of under-5 mortality in sub-Saharan Africa during 1990-2018: A comparison of estimates from demographic surveillance with full birth histories and the historic record.

DOI：
10.4054/demres.2021.44.18
发表时间：
2021-01
期刊：
Demographic research
影响因子：
2.1
作者：
Eilerts H;Prieto JR;Eaton JW;Reniers G
通讯作者：
Reniers G

Evaluating pregnancy reporting in Siaya Health and Demographic Surveillance System through record linkage with ANC clinics.

DOI：
10.23889/ijpds.v7i4.1762
发表时间：
2022
期刊：
International journal of population data science
影响因子：
0
作者：
通讯作者：

Divergent age patterns of under-5 mortality in south Asia and sub-Saharan Africa: a modelling study.

DOI：
10.1016/s2214-109x(22)00337-0
发表时间：
2022-11
期刊：
LANCET GLOBAL HEALTH
影响因子：
34.3
作者：
Verhulst, Andrea;Prieto, Julio Romero;Alam, Nurul;Eilerts-Spinelli, Hallie;Erchick, Daniel J.;Gerland, Patrick;Katz, Joanne;Lankoande, Bruno;Liu, Li;Pison, Gilles;Reniers, Georges;Subedi, Seema;Villavicencio, Francisco;Guillot, Michel
通讯作者：
Guillot, Michel

Estimating the infant mortality rate from DHS birth histories in the presence of age heaping.

在年龄堆积的情况下，估计DHS出生历史的婴儿死亡率。