Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Palo Alto, California.
Division of Nephrology, Department of Medicine, Stanford University, Palo Alto, California.
JAMA Netw Open. 2023 Jul 3;6(7):e2325591. doi: 10.1001/jamanetworkopen.2023.25591.
Widespread use of at-home COVID-19 tests hampers determination of community COVID-19 incidence.
To examine the association of county-level wastewater metrics with high case and hospitalization rates nationwide both before and after widespread use of at-home tests.
DESIGN, SETTING, AND PARTICIPANTS: This observational cohort study with a time series analysis was conducted from January to September 2022 in 268 US counties in 22 states participating in the US Centers for Disease Control and Prevention's National Wastewater Surveillance System. Participants included the populations of those US counties.
County level of circulating SARS-CoV-2 as determined by metrics based on viral wastewater concentration relative to the county maximum (ie, wastewater percentile) and 15-day percentage change in SARS-CoV-2 (ie, percentage change).
High county incidence of COVID-19 as evidenced by dichotomized reported cases (current cases ≥200 per 100 000 population) and hospitalization (≥10 per 100 000 population lagged by 2 weeks) rates, stratified by calendar quarter.
In the first quarter of 2022, use of the wastewater percentile detected high reported case (area under the curve [AUC], 0.95; 95% CI, 0.94-0.96) and hospitalization (AUC, 0.86; 95% CI, 0.84-0.88) rates. The percentage change metric performed poorly, with AUCs ranging from 0.51 (95% CI, 0.50-0.53) to 0.57 (95% CI, 0.55-0.59) for reported new cases, and from 0.50 (95% CI, 0.48-0.52) to 0.55 (95% CI, 0.53-0.57) for hospitalizations across the first 3 quarters of 2022. The Youden index for detecting high case rates was wastewater percentile of 51% (sensitivity, 0.82; 95% CI, 0.80-0.84; specificity, 0.93; 95% CI, 0.92-0.95). A model inclusive of both metrics performed no better than using wastewater percentile alone. The performance of wastewater percentile declined over time for cases in the second quarter (AUC, 0.84; 95% CI, 0.82-0.86) and third quarter (AUC, 0.72; 95% CI, 0.70-0.75) of 2022.
In this study, nationwide, county wastewater levels relative to the county maximum were associated with high COVID-19 case and hospitalization rates in the first quarter of 2022, but there was increasing dissociation between wastewater and clinical metrics in subsequent quarters, which may reflect increasing underreporting of cases, reduced testing, and possibly lower virulence of infection due to vaccines and treatments. This study offers a strategy to operationalize county wastewater percentile to improve the accurate assessment of community SARS-CoV-2 infection prevalence when reliability of conventional surveillance data is declining.
家庭 COVID-19 检测的广泛使用阻碍了社区 COVID-19 发病率的确定。
在家庭检测广泛使用前后,检测全国范围内县一级废水指标与高病例和高住院率之间的关系。
设计、地点和参与者:这是一项观察性队列研究,采用时间序列分析,于 2022 年 1 月至 9 月在美国 22 个州的 268 个美国县进行,这些县参与了美国疾病控制与预防中心的国家废水监测系统。参与者包括这些美国县的居民。
根据相对县最大病毒废水浓度的循环 SARS-CoV-2 水平来确定(即废水百分位)和 SARS-CoV-2 15 天百分比变化(即百分比变化)。
高县 COVID-19 发病率,表现为报告病例的二分法(当前病例≥每 100000 人口 200 例)和住院率(滞后 2 周每 100000 人口≥10 例),按日历季度分层。
在 2022 年第一季度,使用废水百分位检测到高报告病例(曲线下面积 [AUC],0.95;95%CI,0.94-0.96)和住院(AUC,0.86;95%CI,0.84-0.88)率。百分比变化指标表现不佳,报告新病例的 AUC 范围为 0.51(95%CI,0.50-0.53)至 0.57(95%CI,0.55-0.59),住院的 AUC 范围为 0.50(95%CI,0.48-0.52)至 0.55(95%CI,0.53-0.57)在 2022 年的前 3 个季度。检测高病例率的约登指数为 51%的废水百分位(灵敏度,0.82;95%CI,0.80-0.84;特异性,0.93;95%CI,0.92-0.95)。包含两个指标的模型表现并不优于单独使用废水百分位。在 2022 年第二季度(AUC,0.84;95%CI,0.82-0.86)和第三季度(AUC,0.72;95%CI,0.70-0.75),废水百分位的性能随时间下降。
在这项研究中,全国范围内,相对于县最大值的县废水水平与 2022 年第一季度的高 COVID-19 病例和住院率相关,但在随后的几个季度中,废水和临床指标之间的差异越来越大,这可能反映出病例报告的减少、检测的减少,以及疫苗和治疗可能导致感染毒力降低。本研究提供了一种策略,可将县废水百分位付诸实施,以改善在常规监测数据可靠性下降时对社区 SARS-CoV-2 感染流行率的准确评估。