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.

抽象的共同19-19大流行的快速发作使世界上许多人都没有准备好测试，治疗和计划冠状病毒发病率和死亡率。对于部落国家而言，这是正确的，他的主权地位使Swift和预防措施，例如锁定和边界封闭，但其文化有助于额外独特的风险因素。其中包括测试差异，潜在的健康因素和社区基础设施。但是，临床测试并不能捕获阳性病例的程度，并且没有集体努力项目，部落可能不包括在基于废水的流行病学（WBE）分析中，该分析已获得广泛的兴趣由于其能够在社区感染之前生成数据的能力。在这个项目中，我们将证明WBE是可以通过的一种无创，具有文化适当的生物监测策略，并且由部落社区实施，以使他们拥有实用但技术先进的健康监视工具。以部落咨询和基于社区参与的严格方法为基础研究，评估废水和社区基础设施以及部落废水运营商的培训以及WBE的卫生管理员，我们将组建WBE部落协调中心。部落将被招募通过亚利桑那州国家部落水和废水运营商培训计划的部落间理事会网络。我们将使用已建立的RT-QPCR测量整个美国保留的冠状病毒技术和一种新型的蛋白质定量方法，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变体。导致部落社区中升高的共同Covid-19的风险因素将通过整合地理空间分析来量化。来自众多环境的风险框架 - 我们的团队已经开发了传播病原体，为融合可变性和部落环境的不确定性以及来自部落的定性信息的不确定性，以适当范围努力。仿真结果将有助于有效地针对监视和公共卫生干预措施的资源通过确定最有可能在其他社区中检测SARS-COV-2的特定采样位置和科学的约束。 RADX数据协调中心的信息将在最大程度上使用比较部落社区与非部落同行。通过冠状病毒大流行和除了，部落将更好地了解他们使用WBE衡量社区健康的能力保护社区卫生和建筑能力，以实现未来的应用和研究翻译。