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Updated: May 20, 2025

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以废水为基础的流行病学作为预测工具的实施挑战:SARS-CoV-2的范式

Dimosthenis Chochlakis1, Georgios Tzedakis2, Areti Kokkinomagoula1

  • 1Laboratory of Clinical Microbiology and Microbial Pathogenesis, School of Medicine, University of Crete, Heraklion, Crete, Greece; Regional Laboratory of Public Health of Crete, School of Medicine, University of Crete, Heraklion, Crete, Greece.

The Science of the total environment
|May 7, 2025
PubMed
概括

废水基础流行病学 (WBE) 对废水中SARS-CoV-2RNA的监测显示,雨和封锁等因素会影响病毒载量. 机器学习模型在预测人类病例方面表现有前途,尽管在不同地点之间存在差异.

关键词:
影响因素影响因素.机器学习 机器学习预测 预测 预测这就是SARS-CoV-2病毒.基于废水的流行病学.

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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