健康信息学大数据框架:沙特阿拉伯流感监测解决方案

M. Elhussein, H. Gull, Aeshah Alobaid, Aseel Ajez, Reem Aldulaijan, M. Alasfoor, N. Algaraawi
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引用次数: 3

摘要

2012年沙特阿拉伯发现首例冠状病毒病例后,向当地和国际社会提供准确信息成为政府的首要任务。这种具有流感样症状的疾病需要监测,以便了解如何将资源引导到需要的地方。在美国,大数据已经成功地应用于灾害管理和野火报告。通过应用这一框架,对疾病传播状况的实时洞察可以提供可用于拯救生命的宝贵信息。本文提出了一个用于收集健康信息的大数据框架及其附带的分析框架,用于报告沙特阿拉伯的流感和冠状病毒病例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Framework for Health Informatics : A Solution for Influenza Surveillance in Saudi Arabia
After the discovery of the first Corona case in Saudi Arabia in 2012, it became a government priority to provide accurate information for the local and the international community. The disease which has influenza-like symptoms requires surveillance in order to know how to direct resources to where it is needed. Big Data has been successfully used in disaster management and in reporting wildfires in the US. By applying this framework, real-time insight to the status of the spread of the disease can deliver invaluable information that can be used in saving lives. This paper proposes a Big Data framework for collecting Health Informatics and it’s accompanying analytical framework for the purpose of reporting on influenza and Corona cases in the Saudi Arabia.
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