COVID-19 surveillance in public buildings using vacuumed dust

使用吸尘器监测公共建筑中的 COVID-19

• 批准号: 10432856
• 负责人: Karen Dannemiller
• 金额: $ 31.93万
• 依托单位: OHIO STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-02-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10432856
• 关键词: 2019-nCoV; COVID-19; COVID-19 detection; COVID-19 surveillance; Cessation of life; Child Care; Collection; Communities; Complement; Data; Detection; Disease; Disease Surveillance; Dust; Feasibility Studies; Feces; Frequencies; Future; Goals; Health care facility; Health system; Individual; Influenza; Institutional Review Boards; Location; Masks; Measurement; Measures; Methods; Monitor; Nucleotides; Population; Prisons; Process; Protocols documentation; Public Health; RNA; Resolution; Route; SARS-CoV-2 variant; Sampling; Schools; Techniques; Testing; Time; Vaccination; Vacuum; Variant; Viral; Virus; Virus Diseases; Work; base; bioinformatics pipeline; built environment; falls; fight against; high risk population; indoor dust; innovation; interest; novel; pandemic disease; respiratory; respiratory virus; sample collection; vaccine distribution; variant detection; variants of concern

Abstract COVID-19 has resulted in over 500,000 deaths in the US alone since the start of the pandemic. Even with vaccine distribution, it will not be eradicated in the near future. We urgently need other methods for building- scale surveillance of high-risk groups, such as individuals living in dormitories, congregate care facilities, and prisons. Our recent work demonstrates that bulk dust is likely to serve as a convenient matrix for building-scale monitoring. However, we need to demonstrate feasibility. Here we propose an easy, convenient, and affordable method for long-term building-scale surveillance of COVID-19 based on use of vacuumed dust, which is already being collected in many buildings. The goal of this project is to conduct a feasibility study of viral monitoring of building dust on OSU’s Columbus Campus, in K-12 schools, and in child care facilities with sample over a year when individual testing is still common for comparison. Aim 1 is measurement of the presence of SARS-CoV-2 in dust from buildings and comparison with disease frequency. Aim 2 is measurement of the SARS-CoV-2 variants in building dust. Our exploratory Aim 3 is to study distribution of SARS-CoV-2 in dust from buildings. We will rapidly develop and implement a novel technique for monitoring of viral disease. Dust collection provides more specific data and is more convenient at the building scale than wastewater collection, as not all infected individuals shed this respiratory virus in feces. This novel technique will provide a method for monitoring of other viral diseases such as influenza and RSV. We will also develop a new bioinformatics pipeline for resolution of variants in a mixed sample. Results will also provide fundamental information about viral location in buildings and viral distribution in the built environment. Finally, if successful, the team will work to encourage widespread implementation of this monitoring strategy as quickly as possible to help keep schools open in the fall and fight against COVID-19.

抽象的 自大流行开始以来，仅在美国，COVID-19 就已导致超过 50 万人死亡。 疫苗分发，它不会在不久的将来被根除，我们迫切需要其他方法来建立- 对高危人群进行大规模监测，例如居住在宿舍、集中护理设施中的个人，以及 我们最近的工作表明，大量灰尘可能成为建筑规模的便利基质。 然而，我们需要证明其可行性。 基于使用吸尘灰尘的长期建筑规模 COVID-19 监测的经济实惠的方法， 该项目的目标是进行可行性研究。 对俄勒冈州立大学哥伦布校区、K-12 学校和托儿所的建筑灰尘进行病毒监测 目标 1 是对一年多的样本进行单独测试以进行比较的测量。 建筑物灰尘中是否存在 SARS-CoV-2 以及与疾病频率的比较。 我们的探索性目标 3 是研究建筑灰尘中 SARS-CoV-2 变异体的分布。 我们将迅速开发并实施一种监测建筑物灰尘中的 SARS-CoV-2 的新技术。 与病毒性疾病相比，灰尘收集提供了更具体的数据，并且在建筑规模上更方便。 废水收集，因为并非所有感染者都会在粪便中排出这种呼吸道病毒。 将提供一种监测其他病毒性疾病（例如流感和呼吸道合胞病毒）的方法。我们还将开发一种方法。 用于解决混合样本中变异的新生物信息学管道结果也将提供基础。 最后，如果成功的话，有关建筑物中病毒位置和建筑环境中病毒分布的信息。 该小组将努力鼓励尽快广泛实施这一监测战略 帮助学校在秋季保持开放并抗击新冠肺炎 (COVID-19)。