利用数据科学来理解和解决撒哈拉以南非洲的多病症:MADIVA协议
Kerry Glover1, Tabitha Osler1,2, Kayode Adetunji1,3
1Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa.
多发病 (MM),多种慢性疾病的存在,正在撒哈拉以南非洲上升. 马迪瓦研究中心 (MADIVA Research Hub) 正在开发数据科学解决方案,以应对这一日益严重的公共卫生挑战.
科学领域:
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
- 流行病学 流行病学
背景情况:
- 多发病性 (MM),定义为两个或两个以上的慢性疾病,与不良健康结果有关.
- 撒哈拉以南非洲面临着因流行病学和社会转型而增加的MM率.
- 非洲的多种疾病:数字创新,可视化和应用 (MADIVA) 研究中心向MM.
研究的目的:
- 开发数据科学解决方案,以了解和管理多病症.
- 为了利用利益相关者参与特定背景的MM干预.
- 在非洲建立数据科学能力.
主要方法:
- 利用来自南非和肯尼亚的复杂,个体级数据集.
- 协调,链接和整理数据以进行分析.
- 开发MM风险预测模型,数据科学方法和交互式仪表板.
主要成果:
- 数据协调和链接正在进行中.
- 目前正在开发MM风险预测模型和数据科学方法.
- 为了建立能力,正在实施试点项目和指导计划.
结论:
- 马迪瓦旨在为MM研究和临床实践提供创新的数据驱动工具.
- 该项目强调FAIR数据原则 (可查找,可访问,可互操作,可重复使用).
- 能力发展和利益相关者参与是MADIVA战略的核心.
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