首页> 外文会议>International Conference on Swarm Intelligence;BRICS Congress on Computational Intelligence >Using Big Data Technology to Contain Current and Future Occurrence of Ebola Viral Disease and Other Epidemic Diseases in West Africa
【24h】

Using Big Data Technology to Contain Current and Future Occurrence of Ebola Viral Disease and Other Epidemic Diseases in West Africa

机译:利用大数据技术来遏制西非目前和未来的埃博拉病毒病和其他流行病

获取原文

摘要

West Africa is currently plagued with Ebola Viral Disease (EVD) and other minor epidemic diseases which has led to major economic meltdown and high mortality rate in countries like Guinea, Sierra Leone and Liberia as a result of immigration, emigration, foreign trade and investment, bilateral, poor health care issues amidst others. Harmonized EVD related data can help identify individuals who are at risk of contracting the terminal disease and at the same time controlling the outbreak which will in turn lower cost of health care across West Africa. This paper presents the significance, framework as well as an implementation plan and design for using Big Data Technologies (BDT) as an aid to prevent and control EVD in West Africa and the provision of how the principles of cloud computing could be applied to present and impending expectations of the West African Health sector.
机译:西非目前遭受埃博拉病毒病(EVD)和其他次要的疫情疾病,这些疾病导致了几内亚,塞拉利昂和利比里亚等国家的主要经济崩溃和高死亡率,因移民,移民,对外贸易和投资而言,双边,别人的医疗保健问题在别人中。统一的EVD相关数据可以帮助识别有患有终端病的危险的个体,同时控制爆发,这些爆发将落后于西非的医疗保健成本。本文介绍了使用大数据技术(BDT)的重要性,框架以及实施计划和设计,以防止西非的EVD和提供云计算原则的辅助工具,并可以应用于现在和即将期望西非卫生部门。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号