基于废水的监测数据,以确定低人口社区的COVID-19趋势
Aiswarya Rani Pappu1, Ashley Green1, Melanie Oakes2
1Department of Civil and Environmental Engineering, University of California Irvine, Irvine, USA.
Data in brief
|July 14, 2025
概括
废水SARS-CoV-2监测有效地预测了COVID-19在社区中的传播,超过了临床数据. 这项研究分析了学生住房废水中的病毒趋势,为改善公共卫生监测模型提供了见解.
科学领域:
- 环境科学 环境科学
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 基于废水的流行病学 (WBE) 是监测传染病的宝贵工具.
- 了解废水中的SARS-CoV-2趋势可以为公共卫生干预提供信息.
- 有限的数据存在于WBE在较小,不同的人口,如学生住房.
研究的目的:
- 评估来自不同人口规模的社区的废水中的SARS-CoV-2病毒度和趋势.
- 为了比较废水SARS-CoV-2数据与COVID-19传播的临床数据的预测能力.
- 调查胡轻型病毒 (PMMoV) 和人口密度对WBE准确性的影响.
主要方法:
- 在6个月内 (2021年12月至2022年6月) 从7个学生住房社区 (每户300-4000名居民) 收集了原始废水样本.
- 分析了13个下水道通道的废水中的SARS-CoV-2 (N2和E基因) 和PMMoV度.
- 收集并发的临床COVID-19数据用于相关性分析.
主要成果:
- 废水SARS-CoV-2度与COVID-19传播的相关性比临床数据更强.
- PMMoV度和社区人口规模影响了废水和临床数据之间的相关性.
- 数据提供了对较小,定义的人口中的SARS-CoV-2动态的见解.
结论:
- 污水监测是预测社区级COVID-19传播的强有力的方法.
- 使用WBE的进一步研究可以完善流行病学模型和公共卫生策略.
- 这一数据集支持在不同的社区环境和采样策略中更好地了解WBE.
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