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Updated: May 6, 2026

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在低患病率下识别SARS-CoV-2的综合测试策略

Leon Mutesa1,2, Pacifique Ndishimye2,3, Yvan Butera1,2

  • 1Centre for Human Genetics, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.

Nature
|October 21, 2020
PubMed
概括

这项研究介绍了一种基于超立方体的算法,用于汇集SARS-CoV-2 (严重急性呼吸综合征冠状病毒2) 样本,以降低测试成本. 该方法使用较少的测试和试验来准确识别受感染的个体,即使样本稀释量很大.

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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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