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SAMBA data tracking Dashboard application for site monitoring of HIV test and treat programmes in Africa

SAMBA data tracking Dashboard application for site monitoring of HIV test and treat programmes in Africa
SAMBA 数据跟踪仪表板应用程序,用于非洲 HIV 检测和治疗项目的现场监测
批准号:
102934
负责人:
金额:
$8.58万
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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中文摘要
翻译
真实的世界诊断(DRW)正在销售一种简单、强大的即时核酸诊断平台,称为桑巴舞,它允许在发展中国家的偏远、资源有限的环境和发达国家的初级保健环境中进行复杂、高性能的检测。第一批桑巴舞测试是针对艾滋病毒的,将用于监测成人和婴儿的艾滋病毒治疗:一种用于测量艾滋病毒载量,另一种用于检测婴儿的艾滋病毒。艾滋病毒治疗计划在非洲至关重要,以减少艾滋病毒的死亡率和社会负担。由于世卫组织的建议和国际援助资金用于撒哈拉以南非洲的病毒载量监测和早期婴儿诊断,2017-2019年期间将有4.7亿美元用于艾滋病毒诊断采购。为了帮助非洲卫生部和无国界医生组织等组织监测其艾滋病毒治疗方案,DRW提议开发一种创新的“云”计算机应用程序(App)或“仪表板”,将结果发送到一个中央位置,并使组织能够分析数据并跟踪数据,以便监测和跟踪结果,帮助艾滋病毒治疗方案更加有效。该系统最好与桑巴舞一起使用,但可以开发为允许将来自任何系统的患者结果导入数据库。
英文摘要
Diagnostics for the Real World (DRW) is marketing a simple, robust point-of-care nucleic acid diagnostic platform, called SAMBA, which allows complex, high-performance tests to be carried out in remote, resource-limited settings in developing countries and primary care settings in developed countries. The first SAMBA tests are for HIV and will be used to monitor HIV treatment in adults and infants: one to measure HIV viral load and one to detect HIV in infants. HIV treatment programs are critical in Africa to reduce the mortality and social burden of HIV there. Due to WHO recommendation and international aid funding for viral load monitoring and early infant diagnosis in sub-Saharan Africa, $470 million will be available between 2017-2019 for HIV diagnostic procurement. To help African Ministries of Health and organisations such as Médecins Sans Frontières to monitor their HIV treatment programs, DRW is proposing to develop an innovative “cloud” computer-based application (App) or “Dashboard” that would send results to a central location and give organisation the ability to analyse the data and track it for the purpose of monitoring and tracking results to help HIV treatment programs to be more effective. The system would ideally be used with SAMBA, but could be developed to allow patient results from any system to be imported into the database.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: