不浪费-保存苏格兰的COVID-19废水数据

Livia C. T. Scorza, Tomasz Zieliński, S. Baby, A. Millar, Graeme J. Cameron
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摘要

SARS-CoV-2病毒(COVID-19疾病的病原体)的颗粒可以通过感染者的粪便进入污水系统。自2020年5月以来,苏格兰环境保护局(SEPA)一直在监测100多个地点的废水中的病毒水平,因为这些数据是COVID-19在人群中传播的良好指标。这些估计值与其他估计值相结合,以提供苏格兰和英国水平的疾病患病率和病毒繁殖(R)值的最佳总体估计值。这些纵向地理空间数据的获取成本很高,但它们具有很高的重用潜力。然而,一旦COVID-19成为一种地方性感染,监测规划终止,获取数据的风险就会随着时间的推移而恶化。我们的团队致力于监测废水中SARS-CoV-2项目的开放研究前沿,目的是在遵循开放科学和公平数据原则的同时制定适当的保存策略。在这里,我们将展示使输出完整和明确的策展过程。我们将描述我们传播数据的多种方式,以最大限度地提高其可见性和可重用性,同时确保免费、长期保存,并分享对此类多机构倡议的一些建议。简而言之,我们的工作包括在公共存储库中共享数据,向科学数据期刊提交数据论文,以及策划和转录协议,这些协议也在在线平台上发布。还创建了一个包含已发布输出链接的仪表板网页:https://biordm.github.io/COVID-Wastewater-Scotland。通过使这些数据公开和公平,我们正在支持COVID-19数据透明度,协助政府决策和问责制。此外,详细的数据和方法有助于今后实施类似的监测规划,并有助于对过去的SARS-CoV-2疫情进行建模和分析。资金:船员;城市污水中SARS-CoV-2的追踪
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Not Going to Waste - Preserving Scotland’s COVID-19 Wastewater Data
Particles of the SARS-CoV-2 virus, the causative agent of the COVID-19 disease, can enter the sewage system through faeces of infected people. The Scottish Environment Protection Agency (SEPA) has been monitoring viral levels in wastewater since May 2020 in over 100 locations, as such data is a good indicator of COVID-19 spread throughout the population. These estimates are combined with others to provide the best overall estimate of disease prevalence and viral reproduction (R) values, at the Scottish and UK levels. These longitudinal, geospatial data are costly to obtain while they have a high potential for re-use. However, access to the data risks deteriorating over time once COVID-19 becomes an endemic infection and monitoring programmes terminate. Our team worked on the open research front of the programme monitoring SARS-CoV-2 in wastewater, with the aim to develop appropriate preservation strategies while following open science and FAIR data principles. Here we will present the curation process of making the outputs complete and unambiguous. We will describe the multiple ways in which we disseminated the data to maximize their visibility and re-usability, while assuring cost-free, long-term preservation, as well as share some recommendations for such multi-institutional initiatives. Briefly, our work included sharing data in public repositories, submitting a data paper to a scientific data journal, and curating and transcribing protocols, which were also published in online platforms. A dashboard webpage containing the links to published outputs was also created: https://biordm.github.io/COVID-Wastewater-Scotland. By making these data open and FAIR, we are supporting COVID-19 data transparency, assisting with government decisions and accountability. Additionally, the detailed data and methodologies can help with the implementation of similar surveillance programmes in the future, as well as assist with the modelling and analysis of the past SARS-CoV-2 outbreaks. Funding: CREW; Grant CD2019_06 Tracking SARS-CoV-2 via municipal wastewater
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