An Evidence-Based Approach on Public Health Decisions in Low-Middle Income Countries: Use Case of Senegal at the Verge of COVID-19

Jesus Ekie, Bassirou Gueye, Tresor Ekie, I. Niang
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引用次数: 1

Abstract

The advent of health crises like COVID-19 in West Africa, and more particularly in Senegal, led the MoHSA, with the support of several development partners, to set up a real-time alert and information reporting system through the mInfoSante project. These informations are retrieved from Chief Nursing Officers, Chief Veterinary Officers, and more than 2,000 Community Watch & Alert Committees dispatched throughout the national territory. The ease of use of mInfoSante and its advantages has seduced professionals in the health sector. However, one will quickly realize that the exploitation of information can be tedious without the support of a system dedicated to this task. Due to the specificity of the sector as well as the technical and institutional environment, we had to adapt to a certain number of constraints in the identification and implementation of such a solution. To do this, we have studied a set of open-source and powerful Business Intelligence and Dashboarding solutions. According to the performed analysis, our solution, which make use of REST-based service composition, presents advantages of having functionalities related to the distributed storage & processing of large data sets, a capacity for rapid processing of all data types, good computing power offered by its optimized components, and fault tolerance due to integration of distributed infrastructure model.
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中低收入国家公共卫生决策的循证方法:以处于COVID-19边缘的塞内加尔为例
在西非,特别是塞内加尔出现COVID-19等卫生危机的背景下,卫生部在几个发展伙伴的支持下,通过mInfoSante项目建立了一个实时警报和信息报告系统。这些信息是从全国各地派出的首席护理官、首席兽医官和2000多个社区观察和警报委员会中检索的。mInfoSante的易用性及其优势吸引了卫生部门的专业人员。然而,人们很快就会意识到,如果没有专门用于这项任务的系统的支持,信息的利用可能是乏味的。由于该部门的特殊性以及技术和体制环境,我们在确定和执行这种解决办法时必须适应若干限制。为此,我们研究了一组强大的开源商业智能和仪表板解决方案。通过分析,我们的解决方案利用基于rest的服务组合,具有与大型数据集的分布式存储和处理相关的功能,具有快速处理所有数据类型的能力,其优化组件提供的良好计算能力,以及由于集成了分布式基础设施模型而产生的容错性等优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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