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。该项目的目标是提高我们对年龄模式的了解 通过收集迄今为止最大的高质量全球死亡率信息数据库，了解 5 岁以下儿童死亡率 从出生到 5 岁的详细年龄（按天、周、月和岁），按性别。该数据库将 涵盖较发达和较不发达环境中的广泛历史和当代背景，将 作为生成模型的基础，总结 5 岁以下死亡率如何分布的规律 人口的详细年龄。然后，这些模型将用于评估和纠正 5 岁以下儿童 欠发达国家按详细年龄列出的死亡率信息。这个全球数据库和衍生模型 由此，我们还可以解决有关 5 岁以下年龄模式如何以及为何的具体实质性问题 死亡率因性别、时间和地点而异，具有重要的规划意义。这个数据库将被建立 公开可用，使研究界能够轻松获取有关 按详细年龄划分的 5 岁以下死亡率，以满足他们自己的研究需要，并进一步验证和复制 项目的结果。