Suppr超能文献

从群居生活环境中开发 SARS-CoV-2(严重急性呼吸综合征冠状病毒 2)污水综合监测

Development of Wastewater Pooled Surveillance of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) from Congregate Living Settings.

机构信息

Department of Engineering Systems & Environment, University of Virginia, Charlottesville, Virginia, USA.

Department of Medicine, Division of Infectious Diseases, University of Virginia Health System, Charlottesville, Virginia, USA.

出版信息

Appl Environ Microbiol. 2021 Jun 11;87(13):e0043321. doi: 10.1128/AEM.00433-21.

Abstract

Wastewater-based monitoring for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at the individual building level could be an efficient, passive means of early detection of new cases in congregate living settings, but this approach has not been validated. Preliminary samples were collected from a hospital and a local municipal wastewater treatment plant. Molecular diagnostic methods were compared side by side to assess feasibility, performance, and sensitivity. Refined sample collection and processing protocols were then used to monitor two occupied dormitory complexes ( = 105 and 66) over 8 weeks. Wastewater results were validated using known case counts from external clinical testing of building occupants. Results confirm that ultracentrifugation from a 24-h composite collection had a sensitivity of 96.2% and a specificity of 100%. However, the method could not distinguish new infectious cases from persistent convalescent shedding of SARS-CoV-2 RNA. If the detection of convalescent shedding is considered a false positive, then the sensitivity is 100% and specificity drops to 45%. It was determined that the proposed approach constitutes a highly sensitive wastewater surveillance method for detecting SARS-CoV-2, but it could not distinguish new infectious cases from persistent convalescent shedding. Future work must focus on approaches to distinguish new infections from convalescent shedding to fully realize the potential of building wastewater as a surveillance tool for congregate living. Some of the most severe outbreaks of COVID-19 have taken place in places where persons live together, such as nursing homes. Wastewater testing from individual buildings could be used for frequent pooled surveillance of virus from all occupants, including those who are contagious, with or without symptoms. This work provides a sensitive practical method for detecting infected individuals, as validated in two building complexes housing occupants who underwent frequent clinical testing performed by external entities. Although this sensitive method could be deployed now for pooled surveillance as an early warning system to limit outbreaks, the study shows that the approach will require further refinement to differentiate contagious, newly infected individuals from persons who have persistent viral fragments shedding in their stool outside the contagious period.

摘要

在个体建筑层面上,基于污水的严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)监测可能是一种在群居环境中早期发现新病例的高效、被动手段,但这种方法尚未得到验证。初步样本取自一家医院和当地一家市政污水处理厂。分子诊断方法被并排比较,以评估可行性、性能和灵敏度。然后使用经过改进的样本收集和处理方案,在 8 周内监测两个居住宿舍区(分别为 105 人和 66 人)。污水结果通过对建筑物居住者进行外部临床检测的已知病例计数进行验证。结果证实,从 24 小时复合采集的超速离心法的灵敏度为 96.2%,特异性为 100%。然而,该方法无法区分新的传染性病例与 SARS-CoV-2 RNA 的持续恢复期脱落。如果将恢复期脱落的检测视为假阳性,则灵敏度为 100%,特异性降至 45%。研究确定,所提出的方法构成了一种用于检测 SARS-CoV-2 的高度敏感的污水监测方法,但它无法区分新的传染性病例与持续的恢复期脱落。未来的工作必须侧重于区分新感染和恢复期脱落的方法,以充分实现建筑物污水作为群居生活监测工具的潜力。一些最严重的 COVID-19 疫情发生在人们居住在一起的地方,如养老院。从个别建筑物进行污水测试可以用于对所有居住者(包括有症状或无症状的传染性者)的病毒进行频繁的 pooled 监测。这项工作提供了一种灵敏的实用方法,用于检测受感染个体,该方法已在两个居住者宿舍区进行了验证,这些宿舍区的居住者经常接受外部实体进行的临床检测。尽管这种敏感的方法现在可以用于 pooled 监测作为预警系统来限制疫情爆发,但研究表明,该方法将需要进一步改进,以区分传染性、新感染的个体与在传染性期外粪便中持续存在病毒片段脱落的个体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c03/8316081/13f242b9c52f/aem.00433-21-f001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验