数据以人口为基础的健康分析:拉丁美洲和加勒比地区的队列联盟
Rodrigo M Carrillo-Larco1, Ian R Hambleton2
1Hubert Department of Global Health Rollins School of Public Health Emory University Atlanta, GA United States of America Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America.
拉丁美洲和加勒比地区的队列联盟 (CC-LAC) 汇集了来自13个国家的超过174,000名参与者的数据. 这个数据汇集项目提供了特定区域的风险估计和心血管风险评分.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 数据科学数据科学数据科学
背景情况:
- 拉丁美洲和加勒比群体联盟 (CC-LAC) 成立,以汇总和分析整个地区的健康数据.
- 数据汇集举措对于产生强大的流行病学见解和为公共卫生战略提供信息至关重要.
研究的目的:
- 描述CC-LAC的运营框架,包括所需的资源和方法.
- 为加勒比研究人员提供指导,他们有兴趣启动数据汇集项目.
- 突出成功数据聚合努力的好处和先决条件.
主要方法:
- 成立一个由区域专家组成的指导委员会,指导项目建立和运营.
- 系统审查方法,以确定具有相关数据资源的调查人员.
- 制定详细的协议手册,记录所有操作程序.
主要成果:
- 在2024年,CC-LAC整合了来自13个国家的30多个单独单位的数据,包括超过174,000名参与者.
- 为心脏代谢风险因素和心血管疾病生成区域特定的风险估计.
- 为临床应用开发了一个特定区域的心血管风险评分.
结论:
- 数据聚合项目具有成本效益,并增强了所贡献的数据的长期价值.
- 成功的数据聚合需要系统的方法,数据处理专业知识和遵守各种数据保护标准.
- CC-LAC作为该地区协作数据聚合的模型.
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