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 SARS-CoV-2的监测受到检测可用性的阻碍，特别是在偏远和农村地区 地区筛选废水中的SARS-CoV-2病毒生物标志物提供了一种可行的替代方案， 测试，它可以确定社区和设施，有可能成为热点。废水 监测克服了临床监测的几个局限性，例如需要强大的医疗保健 和实验室基础设施，以及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取样 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）。这种方法是时间和资源密集型的，这限制了它的广泛规模。 应用程序.开发下一代技术以简化废水RNA提取， 量化将使其在设施和农村社区更广泛地使用成为可能。有限 肯塔基州东南部农村地区的COVID-19临床试验阻碍了疾病监测， 采取知情的公共行动，以减轻和控制疾病的传播。污水检测SARS-CoV- 2在这些社区使用实地友好技术将为当地提供重要信息 当局和市民了解SARS-CoV-2感染在其社区的传播和趋势。我们 该项目将实现两个目标：1）开发下一代废水评估技术; 2） 实施和评估下一代废水分析。对于目标1，我们采用发明的技术 我们的团队将其称为基于排除的样本制备（ESP），以简化和改进RNA提取 从废水中。我们将ESP与环介导等温扩增（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来测试废水中的SARS- CoV-2 RNA。我们将比较下一代检测与已建立的技术的指标， 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，我们将首先 在集中生活设施的现场进行并排比较，验证下一代检测试剂盒 与传统的废水监测。接下来，在阿巴拉契亚现有关系的基础上， 在肯塔基州，我们将招募和培训一批有目的的污水处理厂运营商，流域 观察公民科学家和学校科学教师在他们的社区和学校测试废水 使用现场友好的下一代废水分析。现场结果将在实验室进行验证。一 使用RE-AIM框架的稳健混合方法评估将评估社区对以下方面的看法： SARS-CoV-2废水监测的可行性、可接受性和实用性，并识别社区 根据测试结果采取的措施。