康奈尔COVID-19测试实验室:传染病应急响应和准备的高容量测试中心的一个模型
Melissa Laverack1, Rebecca L Tallmadge1, Roopa Venugopalan1
1Department of Population Medicine and Diagnostic Sciences, Animal Health Diagnostic Center (AHDC), College of Veterinary Medicine, Cornell COVID-19 Testing Laboratory (CCTL), Cornell University, Ithaca, NY 14853, USA.
Viruses
|July 29, 2023
概括
康奈尔大学的COVID-19测试实验室 (CCTL) 开发了一种自动化,高通量的工作流程,用于快速检测SARS-CoV-2. 这个高效的系统处理了超过200万个样本,有助于控制校园和社区传播.
科学领域:
- * * 公共卫生 公共卫生
- * 传染病诊断 传染病诊断
- * 实验室自动化系统
背景情况:
- *COVID-19大流行需要快速诊断解决方案来制SARS-CoV-2的传播.
- * 现有的医疗保健系统面临着巨大的压力,因为大流行的规模.
- *高通量测试对于管理社区和学术环境中的疫情至关重要.
研究的目的:
- *描述在康奈尔大学COVID-19测试实验室 (CCTL) 建立的平台和工作流程.
- *详细说明来自大学和周边社区的临床样本的高通量测试策略.
- *为了证明有效和快速检测SARS-CoV-2用于感染控制.
主要方法:
- * 实施一个具有成本效益的,完全自动化的工作流程,用于处理聚合样本.
- * 开发定制软件,用于样本跟踪,数据管理和结果报告.
- * 整合质量控制仪表板和交付时间跟踪,用于性能监控.
主要成果:
- *CCTL工作流实现了高吞吐量测试,每天处理超过8000个聚合样本.
- *测试了超过200万个样本,使得SARS-CoV-2的有效检测和控制成为可能.
- *自动化样本加入和组合显著提高了实验室的效率.
结论:
- *开发的自动化工作流程对于大规模的SARS-CoV-2测试非常有效.
- *CCTL模型为建立区域高容量测试中心提供了一个可扩展的解决方案.
- *这种方法对于传染病准备和应急响应策略有价值.
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