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可视化社区废水中的新冠病毒水平、趋势及不平等现象:一种以公平为中心的方法及与美国疾病控制与预防中心方法的比较

Visualizing Neighborhood COVID-19 Levels, Trends, and Inequities in Wastewater: An Equity-Centered Approach and Comparison to CDC Methods.

作者信息

Cowger Tori L, Link Nicholas B, Hart Justin D, Sharp Madeline T, Nair Shoba, Balasubramanian Ruchita, Moallef Soroush, Chen Jarvis, Hanage William P, Tabb Loni Philip, Hall Kathryn T, Ojikutu Bisola O, Krieger Nancy, Bassett Mary T

机构信息

François-Xavier Bagnoud (FXB) Center for Health and Human Rights (Dr Cowger, Ms Balasubramanian, Mr Moallef, and Dr Bassett), Department of Biostatistics (Mr Link), Center for Communicable Disease Dynamics (Ms Balasubramanian and Dr Hanage), Department of Social and Behavioral Sciences (Mr Moallef and Drs Chen, Krieger, and Bassett), Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Boston Public Health Commission, Boston, Massachusetts (Dr Cowger, Mr Hart, Ms Sharp, and Drs Nair, Hall, and Ojikutu); Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania (Dr Tabb); Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts (Drs Hall and Ojikutu); and Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts (Dr Ojikutu).

We thank the BPHC Infectious Disease Bureau (IDB), Office of Public Health Preparedness and Response (OPHPR) and Informatics Team for their assistance with data collection and analysis of COVID-19 clinical indicators and programmatic support. We thank Dr Rachel C. Nethery (HSPH) for her feedback and support in developing the methodology described herein. We thank our partners at Boston Water and Sewer Commission (BWSC) for their assistance with selection of sampling sites and programmatic support and collaboration that makes the program possible. We also thank our partners at Biobot Analytics and Flow Assessment Services for their assistance with sample collection, laboratory processing, data management and analysis, and programmatic support.

出版信息

J Public Health Manag Pract. 2025;31(2):270-282. doi: 10.1097/PHH.0000000000002049. Epub 2024 Sep 10.

Abstract

CONTEXT

Monitoring neighborhood-level SARS-CoV-2 wastewater concentrations can help guide public health interventions and provide early warning ahead of lagging COVID-19 clinical indicators. To date, however, U.S. Centers for Disease Control and Prevention's (CDC) National Wastewater Surveillance System (NWSS) has provided methodology solely for communicating national and state-level "wastewater viral activity levels."

PROGRAM

In October 2022, the Boston Public Health Commission (BPHC) began routinely sampling wastewater at 11 neighborhood sites to better understand COVID-19 epidemiology and inequities across neighborhoods, which vary widely in sociodemographic and socioeconomic characteristics. We developed equity-centered methods to routinely report interpretable and actionable descriptions of COVID-19 wastewater levels, trends, and neighborhood-level inequities.

APPROACH AND IMPLEMENTATION

To produce these data visualizations, spanning October 2022 to December 2023, we followed four general steps: (1) smoothing raw values; (2) classifying current COVID-19 wastewater levels; (3) classifying current trends; and (4) reporting and visualizing results.

EVALUATION

COVID-19 wastewater levels corresponded well with lagged COVID-19 hospitalizations and deaths over time, with "Very High" wastewater levels coinciding with winter surges. When citywide COVID-19 levels were at the highest and lowest points, levels and trends tended to be consistent across sites. In contrast, when citywide levels were moderate, neighborhood levels and trends were more variable, revealing inequities across neighborhoods, emphasizing the importance of neighborhood-level results. Applying CDC/NWSS state-level methodology to neighborhood sites resulted in vastly different neighborhood-specific wastewater cut points for "High" or "Low," obscured inequities between neighborhoods, and systematically underestimated COVID-19 levels during surge periods in neighborhoods with the highest COVID-19 morbidity and mortality.

DISCUSSION

Our methods offer an approach that other local jurisdictions can use for routinely monitoring, comparing, and communicating neighborhood-level wastewater levels, trends, and inequities. Applying CDC/NWSS methodology at the neighborhood-level can obscure and perpetuate COVID-19 inequities. We recommend jurisdictions adopt equity-focused approaches in neighborhood-level wastewater surveillance for valid community comparisons.

摘要

背景

监测社区层面的新冠病毒污水浓度有助于指导公共卫生干预措施,并在滞后的新冠疫情临床指标之前提供早期预警。然而,截至目前,美国疾病控制与预防中心(CDC)的国家污水监测系统(NWSS)仅提供了用于传达国家和州层面“污水病毒活性水平”的方法。

项目

2022年10月,波士顿公共卫生委员会(BPHC)开始在11个社区地点定期采集污水样本,以更好地了解新冠疫情的流行病学情况以及不同社区之间的不平等现象,这些社区在社会人口统计学和社会经济特征方面差异很大。我们开发了以公平为中心的方法,以定期报告可解释且可采取行动的新冠病毒污水水平、趋势以及社区层面不平等情况的描述。

方法与实施

为了生成这些涵盖2022年10月至2023年12月的数据可视化内容,我们遵循了四个一般步骤:(1)平滑原始值;(2)对当前的新冠病毒污水水平进行分类;(3)对当前趋势进行分类;(4)报告并可视化结果。

评估

随着时间的推移,新冠病毒污水水平与滞后的新冠住院和死亡情况高度相关,“非常高”的污水水平与冬季激增情况相吻合。当全市新冠病毒水平处于最高和最低点时,各地点的水平和趋势往往是一致的。相比之下,当全市水平处于中等时,社区水平和趋势的变化更大,揭示了不同社区之间的不平等现象,凸显了社区层面结果的重要性。将CDC/NWSS的州层面方法应用于社区地点,导致“高”或“低”的特定社区污水切点差异巨大,掩盖了社区之间的不平等现象,并在新冠发病率和死亡率最高的社区激增期间系统性地低估了新冠病毒水平。

讨论

我们的方法提供了一种其他地方司法管辖区可用于定期监测、比较和传达社区层面污水水平、趋势及不平等情况的途径。在社区层面应用CDC/NWSS方法可能会掩盖并延续新冠病毒的不平等现象。我们建议司法管辖区在社区层面的污水监测中采用以公平为重点的方法,以便进行有效的社区比较。

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