使用废水监测数据预测COVID-19发病率,丹麦,2021年10月至2022年6月
Emerging infectious diseases
|July 24, 2023
概括
针对SARS-CoV-2的废水监测密切反映了COVID-19的发病率,即使人类测试减少. 这表明废水分析是追踪病毒和为公共卫生战略提供信息的可靠工具.
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:
- 废水分析越来越多地用于传染病监测,包括SARS-CoV-2.
- 然而,废水监测数据与社区实际疾病发病率之间的相关性尚未完全理解.
研究的目的:
- 评估废水监测作为COVID-19发病率的代理的有效性.
- 在广泛的人体测试和高人口覆盖率的环境中评估废水数据的可靠性.
主要方法:
- 使用时间序列分析来建模废水数据与报告的COVID-19病例之间的关系.
- 数据包括来自丹麦大约200个地点的废水测试结果 (占人口覆盖率的85%),以及有关流通的SARS-CoV-2变种和人类PCR测试数量的信息.
- 该模型的准确性在区域层面和医疗保健人员特定亚群中得到了验证.
主要成果:
- 废水监测数据与变种和人类测试信息相结合时,显示出与人类测试阳性的发生率曲线有很强的相关性.
- 这些发现在不同地区和医疗保健人员亚群中保持一致.
- 废水数据成功估计了COVID-19发病率,即使在2022年3月后人类测试显著减少之后.
结论:
- 大规模的废水监测系统可以作为监测COVID-19发病率的强大而可靠的代理.
- 废水分析为流行病控制策略提供了有价值的数据,特别是当人类测试能力有限时.
关键词:
在 COVID-19 疫情中,丹麦 丹麦 丹麦 丹麦 丹麦这就是SARS-CoV-2病毒.冠状病毒疾病是新冠肺炎的疾病.流行病学方法 流行病学方法流行病学模型的流行病学模型.流行病学监测 流行病学监测流行病学流行病学呼吸道感染 呼吸道感染严重急性呼吸系统综合征新冠病毒2时间序列时间序列病毒病毒病毒病毒.废水监管监督废水的情况.动物病是动物病.更多相关视频
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