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Method for analysis of aerosolized biological species in epidemic and pandemic prediction

机译:流行病和大流行预测中气溶胶生物物种的分析方法

摘要

The disclosed invention is a new concept for a network of specialized continuous ambient air sampling systems, which employ a novel non-destructive ionization and separation method, coupled to a near real-time genomic sequencer. The network of preferably pathogen samplers, would constitute a plurality of distributed nodes throughout the world, with bacterial & viral concentration, identification, and mutation data uploaded to the cloud for epidemic/pandemic predictive modeling. The proposed system offers the ability to migrate from outbreak surveillance, to outbreak forecast. In addition, the capability for continuous data of genomic sequencing offers an enhanced capability to help track antigenic drift and antigenic shift. While optimized for viral capture and analysis, any airborne pathogen or spore can be accepted using the technology. Applications include world health monitoring, pandemic prediction, and detection of real-time bioterror pathogen deployment.
机译:本发明是一种专门的连续环境空气采样系统网络的新概念,该系统采用一种新的非破坏性电离和分离方法,并与近实时基因组测序仪相耦合。最好由病原体采样器组成的网络将在全世界范围内构成多个分布式节点,将细菌和病毒浓度、识别和突变数据上传到云中,用于流行病/大流行预测建模。提议的系统提供了从疫情监测到疫情预测的迁移能力。此外,基因组测序的连续数据能力提供了一种增强的能力,以帮助跟踪抗原漂移和抗原转移。虽然针对病毒捕获和分析进行了优化,但使用该技术可以接受任何空气中的病原体或孢子。应用包括世界卫生监测、大流行预测和实时生物错误病原体部署检测。

著录项

  • 公开/公告号US11300484B1

    专利类型

  • 公开/公告日2022-04-12

    原文格式PDF

  • 申请/专利权人 JOSEPH J. BANGO;

    申请/专利号US201715732259

  • 发明设计人 JOSEPH J. BANGO;

    申请日2017-10-16

  • 分类号G01N1/22;G01N1/26;G01N1/24;G01N1/02;

  • 国家 US

  • 入库时间 2022-08-25 00:25:59

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