Suppr超能文献

用于监测新冠疫情高峰的智能马桶:被动诊断与公共卫生

Smart toilets for monitoring COVID-19 surges: passive diagnostics and public health.

作者信息

Ge T Jessie, Chan Carmel T, Lee Brian J, Liao Joseph C, Park Seung-Min

机构信息

Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.

Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.

出版信息

NPJ Digit Med. 2022 Mar 30;5(1):39. doi: 10.1038/s41746-022-00582-0.

Abstract

Continued COVID-19 surges have highlighted the need for widespread testing in addition to vaccination for disease containment. SARS-COV-2 RNA can be found in faecal matter, making human stool another potential source for COVID-19 diagnostics. In this commentary, we highlight potential strategies to use a smart toilet platform to passively monitor COVID-19 surges, enabling earlier detection of infected individuals and promoting public health.

摘要

持续的新冠疫情激增凸显了除疫苗接种外进行广泛检测以控制疾病的必要性。严重急性呼吸综合征冠状病毒2(SARS-CoV-2)RNA可在粪便中发现,这使得人类粪便成为新冠病毒诊断的另一个潜在来源。在这篇评论中,我们强调了利用智能马桶平台被动监测新冠疫情激增情况的潜在策略,以便更早地检测出感染者并促进公共卫生。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验