Wastewater Analysis of SARS CoV-2 in Tribal Communities

部落社区 SARS CoV-2 废水分析

基本信息

批准号：
10320996
负责人：
Otakuye Conroy-Ben
金额：
$ 130.55万
依托单位：
ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-01-01 至 2024-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10320996
关键词：
2019-nCoV Address Administrator Adopted American Indians Area Arizona Biological Assay Biological Monitoring COVID-19 COVID-19 detection COVID-19 pandemic COVID-19 risk COVID-19 surveillance Case Study Cities Clinical Data Collection Communities Community Health Consultations Coronavirus Coronavirus Infections Custom Data Data Coordinating Center Databases Detection Distant Engineering Epidemiologic Monitoring Foundations Funding Future Genome Geography Health Health Priorities Health Status Healthcare High School Student Human Individual Information Systems Infrastructure Intervention Leadership Left Location Measures Methodology Methods Modeling Monitor Morbidity - disease rate Municipalities Native Americans North America Ownership Population Preventive measure Process Protein Analysis Proteins RADx RNA Registries Research Reservations Resources Risk Risk Factors Risk Management SARS-CoV-2 variant Sampling Sanitation Sentinel Sequence Analysis Services System Techniques Technology Testing Time Time trend Training Training Programs Translational Research Tribes Uncertainty United States United States Indian Health Service Universities Water Work community based participatory research community building cost cost effective data streams design disorder prevention genetic variant ground water health assessment improved interest intertribal metagenomic sequencing mortality novel novel coronavirus operation pandemic coronavirus pathogen programs public health intervention recruit remote sensing research clinical testing simulation tool transcriptome sequencing trend tribal Nation tribal community tribal health tribal lands viral RNA wastewater epidemiology wastewater monitoring wastewater samples

项目摘要

ABSTRACT The rapid onset of the COVID-19 pandemic left many across the world unprepared to test, treat, and plan for coronavirus morbidity and mortality. This was true for Tribal nations, whose sovereign status enabled swift and preventative measures such as lock-downs and border closures, yet whose culture contributed to additional unique risk factors. Among those are testing disparities, underlying health factors, and community infrastructure. However, clinical testing doesn’t capture the extent of positive cases, and without the collective efforts of this project, Tribes will likely not be included in wastewater-based epidemiology (WBE) analysis, which has garnered wide-spread interest due to its ability to generate data in advance of community infectivity. In this project, we will show that WBE is a non-invasive, culturally appropriate biomonitoring strategy that can be adopted and implemented by Tribal communities to empower them with a practical, yet technologically advanced health surveillance tool. Building upon a rigorous methodology of Tribal consultation and community-based participatory research, assessment of wastewater and community infrastructure, and training of Tribal wastewater operators and health administrators on WBE, we will form the WBE Tribal Coordination Center. Tribes will be recruited through the InterTribal Council of Arizona’s National Tribal Water and Wastewater Operator Training Program network. We will measure coronavirus in wastewater across U.S. reservations using established RT-qPCR techniques and a novel protein quantification method, and we will sequence viral RNA extracts to assess SARS- CoV-2 variants in Tribal communities. Risk factors contributing to elevated COVID-19 in Tribal communities will be quantified with integration of geospatial analysis. Frameworks for risks from numerous environmentally- transmitted pathogens have been developed by our team, setting a foundation to incorporate variability and uncertainty for Tribal settings with qualitative information from Tribes in order to appropriately scope our modeling efforts. Simulation results will help to target resources efficiently for monitoring and public health interventions by identifying specific sampling locations where it is most likely to detect SARS-CoV-2 given other community and scientific constraints. Information from the RADx Data Coordination Center will be used to the fullest extent to compare Tribal communities with their non-Tribal counterparts. Through the coronavirus pandemic and beyond, Tribes will be better informed of their ability to use WBE to measure community health, thereby protecting community health and building capacity for future applications and research translation.

抽象的 COVID-19 大流行的迅速爆发使世界各地许多人没有做好检测、治疗和计划的准备对于部落国家来说，冠状病毒的发病率和死亡率确实如此，其主权地位使得其发病率和死亡率迅速上升。封锁和关闭边境等预防措施，但其文化却导致了额外的其中包括测试差异、潜在的健康因素和社区基础设施。然而，临床测试并不能捕捉到阳性病例的程度，而且没有这些人的集体努力项目中，部落可能不会被纳入基于废水的流行病学 (WBE) 分析，该分析已获得由于它能够在社区感染之前生成数据，因此引起了广泛的兴趣。在这个项目中，我们将。表明 WBE 是一种非侵入性、适合文化的生物监测策略，可以被采用和由部落社区实施，为他们提供实用且技术先进的健康服务建立在严格的部落协商和社区参与方法的基础上。研究、废水和社区基础设施评估以及部落废水操作员培训和 WBE 的卫生管理员，我们将组建 WBE 部落协调中心。通过亚利桑那州部落间委员会的国家部落供水和废水处理操作员培训计划我们将使用现有的 RT-qPCR 测量美国保留地废水中的冠状病毒。技术和新型蛋白质定量方法，我们将对病毒 RNA 提取物进行测序以评估 SARS- 部落社区中的 CoV-2 变种导致部落社区中 COVID-19 升高的风险因素将通过整合地理空间分析框架来量化来自众多环境风险的风险。我们的团队开发了传播病原体，为整合变异性和部落环境的不确定性以及来自部落的定性信息，以便适当地确定我们的建模范围模拟结果将有助于有效地确定资源用于监测和公共卫生干预措施通过确定在其他社区中最有可能检测到 SARS-CoV-2 的具体采样地点来自 RADx 数据协调中心的信息将得到最大程度的利用。通过冠状病毒大流行将部落社区与其非部落盟友进行比较。除此之外，部落将更好地了解他们使用 WBE 来衡量社区健康的能力，从而保护社区健康并建设未来应用和研究转化的能力。