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: 9217905
• 负责人: MICHEL GUILLOT
• 金额: $ 63.08万
• 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/9217905
• 关键词: Address; Africa; Age; Age-Years; American; Archives; Asia; Birth; Birth History; Cause of Death; Cessation of life; Child; Child health care; 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; Risk; Sampling; Source; Surveys; System; Systematic Bias; Time; Uncertainty; Update; Validation; Variant; age group; base; exhaustion; flexibility; improved; meetings; mortality; 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岁以下的死亡率（U5MR）是儿童健康的关键和广泛使用的指标，但它隐藏了 有关该死亡率如何按年龄分配的重要信息。为了更好地理解和监视 在儿童健康中，检查死亡风险在0-5岁年龄范围内的变化至关重要。这包括年龄 超出28天的标准截止点（用于新生儿死亡率）和1年的崩溃（对于婴儿） 死亡）。但是，在许多人群中，5岁以下死亡率的年龄模式并不众所周知。较少的- 特别是发达国家缺乏高质量的详细重要注册信息 这种年龄模式的分析。收集回顾性出生历史的样本调查不会令人满意地填补 这一差距，因为它们受到系统的偏见，这对于估计年龄特别重要 模式。这使得更多有关5岁以下死亡率年龄模式的高质量信息甚至更多 批判性，因为这些年龄模式中的规律性可以用作评估和纠正的强大工具 当来源不足时的数据。该项目的目的是提高我们对年龄模式的理解 5岁以下的死亡率通过收集迄今为止在高质量全球死亡率信息的最大数据库中， 从出生到5岁的详细年龄（按几天，几周，几个月，几个月和年龄）。这个数据库将 涵盖在更不发达和发达的环境中的各种历史和现代环境，将会 作为生成模型的基础 人口的详细年龄。然后，这些模型将用于评估和纠正5岁以下的模型 在较不发达国家的详细年龄信息。这个全局数据库以及派生的模型 从中，我们还将使我们能够解决有关5岁以下年龄模式的特定实质性问题 死亡率因性，时间和地点而异，具有重要的程序化含义。将制作此数据库 公开可用，允许研究社区轻松访问有关高质量的主要信息 5岁以下的死亡率按详细年龄来满足自己的研究需求，并进一步验证和复制 项目的结果。