Wastewater Assessment for Coronavirus in Kentucky: Implementing Enhanced Surveillance Technology

肯塔基州冠状病毒废水评估：实施强化监测技术

• 批准号: 10264317
• 负责人: Scott M Berry
• 金额: $ 183.43万
• 依托单位: UNIVERSITY OF KENTUCKY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-01 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10264317
• 关键词: 2019-nCoV; Appalachian Region; Biological Assay; Biological Markers; COVID-19 assay; COVID-19 detection; COVID-19 outbreak; COVID-19 surveillance; COVID-19 testing; Characteristics; Cities; Clinical; Cold Chains; Communities; Coronavirus; Detection; Disease; Disease Surveillance; Evaluation; Exclusion; Feces; Goals; Healthcare; Heating; Hour; Individual; Infection; Infection prevention; Infrastructure; Kentucky; Laboratories; Measures; Mediating; Methods; Molecular Biology Techniques; Monitor; Nursing Homes; Perception; Performance; Persons; Plants; Population; Preparation; Prevention Measures; Prisons; RADx Radical; RNA; RNA Degradation; Reach, Effectiveness, Adoption, Implementation, and Maintenance; Resources; Reverse Transcriptase Polymerase Chain Reaction; Ribonucleases; Risk; Rural; Rural Appalachia; Rural Community; Rural Population; SARS-CoV-2 infection; Sampling; Schools; Sensitivity and Specificity; Series; Side; Signal Transduction; Surveillance Methods; Syncope; System; Techniques; Technology; Technology Assessment; Test Result; Testing; Time; Training; United States; United States National Institutes of Health; Universities; Viral; Vulnerable Populations; authority; base; citizen science; community based participatory research; experience; field study; high risk; improved; innovation; isothermal amplification; new technology; next generation; point of care; prevent; recruit; research clinical testing; response; rural area; rural setting; sample collection; science teacher; trend; usability; wastewater samples; wastewater sampling; wastewater screening; wastewater surveillance; wastewater testing

Wastewater Assessment for Coronavirus in Kentucky – Implementing Enhanced Surveillance Technology Surveillance for SARS-CoV-2 is hindered by the availability of testing, particularly in remote and rural areas. Screening of wastewater for SARS-CoV-2 viral biomarkers offers a viable alternative to individual testing and it can identify communities and facilities that are at risk of becoming hotspots.Wastewater surveillance overcomes several limitations of clinical surveillance, such as the need for robust healthcare and laboratory infrastructure and the lack of representative and comprehensive testing within communities. Conventional wastewater surveillance takes samples from sewer systems or wastewater treatment facilities and uses a series of extraction steps prior to advanced PCR technology to quantitate the viral biomarker (RNA). This approach is time and resource-intensive, which limits its wide-scale application. Developing next generation technology to simplify wastewater RNA extraction and quantitation will make it feasible to use more broadly at facilities and in rural communities. The limited clinical testing for COVID-19 in rural Southeastern Kentucky hampers disease surveillance and prevents informed public action to mitigate and contain the spread of disease. Wastewater testing for SARS-CoV- 2 in these communities using field-friendly technology will provide important information to local authorities and citizens about the spread and trend of SARS-CoV-2 infection in their communities. Our project will accomplish two aims: 1) Develop next generation wastewater assessment technology and 2) Implement and evaluate the next generation wastewater assay. For Aim 1 we adapt technology invented by our team termed exclusion-based sample preparation (ESP) to simplify and improve RNA extraction from wastewater. We will pair ESP with loop-mediated isothermal amplification (LAMP) technology for RNA detection to create a sensitive, robust, and field-friendly platform for testing wastewater for SARS- CoV-2 RNA. We will compare the next generation assay with established techniques on metrics of sensitivity, specificity, and usability (e.g., assay time, number of assay steps). For Aim 2 we will first validate the next generation assay in the field at congregate living facilities in a side-by-side comparison with conventional wastewater surveillance. Next, building on existing relationships in Appalachian Kentucky, we will recruit and train a purposive group of wastewater treatment plant operators, watershed watch citizen scientists, and school science teachers to test wastewater in their communities and schools using the field-friendly next generation wastewater assay. Field results will be validated in the lab. A robust mixed methods evaluation using the RE-AIM framework will assess community perceptions of feasibility, acceptability, and utility of wastewater surveillance for SARS-CoV-2 and identify community measures taken in response to test results.

肯塔基州冠状病毒废水评估——实施强化监测 技术 对 SARS-CoV-2 的监测因检测的可用性而受到阻碍，特别是在偏远和农村地区 地区。筛选废水中的 SARS-CoV-2 病毒生物标志物为个体提供了可行的替代方案 测试，它可以识别有可能成为热点的社区和设施。废水 监测克服了临床监测的一些局限性，例如需要强大的医疗保健 和实验室基础设施以及内部缺乏代表性和全面的测试 社区。传统的废水监测从下水道系统或废水中采集样本 处理设施，并在先进的 PCR 技术之前使用一系列提取步骤来定量 病毒生物标志物（RNA）。这种方法需要大量时间和资源，限制了其大规模推广 应用。开发下一代技术以简化废水 RNA 提取和 定量将使在设施和农村社区更广泛地使用变得可行。有限的 肯塔基州东南部农村地区的 COVID-19 临床检测阻碍了疾病监测并预防 知情的公众行动，以减轻和遏制疾病的传播。废水检测 SARS-CoV- 2 在这些社区中使用现场友好型技术将为当地提供重要信息 当局和公民了解 SARS-CoV-2 感染在其社区中的传播和趋势。我们的 项目将实现两个目标：1) 开发下一代废水评估技术，2) 实施并评估下一代废水测定。为了实现目标 1，我们采用发明的技术 由我们的团队称为基于排除的样品制备 (ESP)，以简化和改进 RNA 提取 来自废水。我们将 ESP 与环介导等温放大 (LAMP) 技术配对 RNA 检测可创建一个灵敏、强大且现场友好的平台，用于检测废水中的 SARS- 冠状病毒-2 RNA。我们将把下一代检测与已建立的技术进行比较 灵敏度、特异性和可用性（例如测定时间、测定步骤数）。对于目标 2，我们首先 通过并排比较在聚集生活设施现场验证下一代检测方法 与传统的废水监测。接下来，建立阿巴拉契亚地区现有的关系 肯塔基州，我们将有针对性地招募和培训废水处理厂操作员小组，流域 观看公民科学家和学校科学教师测试社区和学校的废水 使用现场友好的下一代废水测定。现场结果将在实验室进行验证。一个 使用 RE-AIM 框架进行稳健的混合方法评估将评估社区对 SARS-CoV-2 废水监测的可行性、可接受性和效用并确定社区 根据测试结果采取的措施。