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Updated: Jul 28, 2025

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
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基于废水的预测COVID-19病例使用随机森林算法与菌株流行数据:拉脱维亚五个城市的案例研究

Brigita Dejus1, Pāvels Cacivkins2, Dita Gudra3

  • 1Water Research and Environmental Biotechnology Laboratory, Riga Technical University, Kipsala 6A-263, Latvia.

The Science of the total environment
|June 2, 2023
PubMed
概括

基于废水的流行病学 (WBE) 有效地提前两周预测了COVID-19的爆发. 一个随机的森林模型包含了SARS-CoV-2菌株数据,显著提高了累积病例的预测准确性.

关键词:
参数的重要性 参数重要性随机森林模型是一个随机森林模型.这就是SARS-CoV-2病毒.基于废水的流行病学.

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