Global Age Patterns of Under-Five Mortality

全球五岁以下儿童死亡率的年龄模式

• 批准号: 9975198
• 负责人: MICHEL GUILLOT
• 金额: $ 60.12万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-19 至 2022-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9975198
• 关键词: Address; Africa; Age; Age-Years; American; Archives; Asia; Birth; Birth History; Cause of Death; Child; Child Health; Cohort Studies; Communities; Consequentialism; Country; Data; Data Aggregation; Data Sources; Databases; Demographic and Health Surveys; Developed Countries; Developing Countries; European; Goals; Health; Health Policy; Human; Infant Mortality; Intervention; Knowledge; Latin America; Methods; Modeling; Monitor; Neonatal Mortality; Pattern; Population; Procedures; Research; Sampling; Source; Surveys; System; Systematic Bias; Time; Uncertainty; Update; Validation; Variant; age group; base; exhaustion; flexibility; improved; meetings; mortality; mortality risk; prospective; public health relevance; sex; tool

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. The goal of this project is to improve 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. This database, which will cover a wide array of historical and contemporary contexts in both more- and less-developed settings, will serve as a basis for generating models summarizing regularities about how under-5 mortality is distributed by detailed age in human populations. These models will then be used for evaluating and correcting under-5 mortality information by detailed age in less-developed countries. This global database, and models derived from it, will also allow us to address specific substantive questions about how and why age patterns of under-5 mortality vary by sex, time, and place, with important programmatic implications. This database will be made publicly-available, allowing the research community to easily access high-quality primary information on under-5 mortality by detailed age for their own research needs, and for further validation and replication of the project's results.

项目摘要 5岁以下儿童死亡率是儿童健康的一个关键和广泛使用的指标，但它掩盖了 关于死亡率如何按年龄分布的重要信息。为了更好地了解和监测 在儿童健康方面，至关重要的是要研究0-5岁年龄范围内死亡风险的变化情况。这包括年龄 超过28天（新生儿死亡率）和1岁（婴儿死亡率）标准截止点的细目 死亡率）。然而，在许多人口中，5岁以下儿童死亡率的年龄模式并不为人所知。减去- 特别是发达国家缺乏高质量的详细的生命登记信息， 分析这种年龄模式。收集追溯出生史的抽样调查不能令人满意地填补 这一差距，因为他们受到系统性偏见，特别是对估计年龄的后果， 模式.这就更加需要关于5岁以下儿童死亡率年龄模式的高质量信息 关键的，因为在这些年龄模式中的学习可以作为评估和纠正的有力工具。 数据来源不足时。这个项目的目标是提高我们对年龄模式的理解， 收集迄今为止最大的高质量全球死亡率信息数据库， 按性别列出的从出生到5岁的详细年龄（按日、周、月和岁）。该数据库将 涵盖了广泛的历史和当代背景下，无论是在较发达和欠发达的设置，将 作为生成模型的基础，总结5岁以下儿童死亡率的分布情况， 人口中的具体年龄。这些模型将用于评估和纠正5岁以下儿童 较不发达国家按年龄分列的死亡率资料。这个全球数据库和模型 从它，也将使我们能够解决具体的实质性问题，如何和为什么年龄模式的5岁以下 死亡率因性别、时间和地点而异，具有重要的方案影响。这个数据库将被 公开提供，使研究界能够方便地获得高质量的主要信息， 5岁以下儿童死亡率的数据，以满足其研究需要，并进一步验证和复制 项目的成果。