可比性
透明度(行为)
疾病负担
疾病负担
全球卫生
计算机科学
医学
公共卫生
环境卫生
人口
计算机安全
数学
护理部
组合数学
作者
Christopher J L Murray
出处
期刊:Nature Medicine
[Springer Nature]
日期:2022-10-01
卷期号:28 (10): 2019-2026
被引量:261
标识
DOI:10.1038/s41591-022-01990-1
摘要
The Global Burden of Disease Study (GBD) began 30 years ago with the goal of providing timely, valid and relevant assessments of critical health outcomes. Over this period, the GBD has become progressively more granular. The latest iteration provides assessments of thousands of outcomes for diseases, injuries and risk factors in more than 200 countries and territories and at the subnational level in more than 20 countries. The GBD is now produced by an active collaboration of over 8,000 scientists and analysts from more than 150 countries. With each GBD iteration, the data, data processing and methods used for data synthesis have evolved, with the goal of enhancing transparency and comparability of measurements and communicating various sources of uncertainty. The GBD has many limitations, but it remains a dynamic, iterative and rigorous attempt to provide meaningful health measurement to a wide range of stakeholders. This Perspective reflects on the past, present and future of the dynamic, expanding public health endeavor that is the Global Burden of Disease Study.
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