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Wastewater Assessment for Coronavirus in Kentucky: Implementing Enhanced Surveillance Technology

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DataCite Commons2024-05-15 更新2024-07-13 收录
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https://radxdatahub.nih.gov/study/52
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Developing next generation technology to simplify wastewater RNA extraction and quantification will make wastewater surveillance feasible and scalable in facilities and rural communities. Wastewater testing for SARS-CoV-2 in rural 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 SARSCoV-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 Eastern 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.
提供机构:
NIH Rapid Acceleration of Diagnostics Data Hub (RADx Data Hub)
创建时间:
2024-05-15
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