Larsen David A, Collins Mary B, Du Qian, Hill Dustin, Insaf Tabassum Z, Kilaru Pruthvi, Kmush Brittany L, Middleton Frank, Stamm Abigail, Wilder Maxwell L, Zeng Teng, Green Hyatt
Department of Public Health, Syracuse University, Syracuse, NY 13244, USA.
Department of Environmental Studies, SUNY ESF, Syracuse, NY 13210, USA.
PNAS Nexus. 2022 Mar 2;1(1):pgac001. doi: 10.1093/pnasnexus/pgac001. eCollection 2022 Mar.
Infectious disease surveillance is vitally important to maintaining health security, but these efforts are challenged by the pace at which new pathogens emerge. Wastewater surveillance can rapidly obtain population-level estimates of disease transmission, and we leverage freedom from disease principles to make use of nondetection of SARS-CoV-2 in wastewater to estimate the probability that a community is free from SARS-CoV-2 transmission. From wastewater surveillance of 24 treatment plants across upstate New York from May through December of 2020, trends in the intensity of SARS-CoV-2 in wastewater correlate with trends in COVID-19 incidence and test positivity ( > 0.5), with the greatest correlation observed for active cases and a 3-day lead time between wastewater sample date and clinical test date. No COVID-19 cases were reported 35% of the time the week of a nondetection of SARS-CoV-2 in wastewater. Compared to the United States Centers for Disease Control and Prevention levels of transmission risk, transmission risk was low (no community spared) 50% of the time following nondetection, and transmission risk was moderate or lower (low community spread) 92% of the time following nondetection. Wastewater surveillance can demonstrate the geographic extent of the transmission of emerging pathogens, confirming that transmission risk is either absent or low and alerting of an increase in transmission. If a statewide wastewater surveillance platform had been in place prior to the onset of the COVID-19 pandemic, policymakers would have been able to complement the representative nature of wastewater samples to individual testing, likely resulting in more precise public health interventions and policies.
传染病监测对于维护卫生安全至关重要,但这些工作受到新病原体出现速度的挑战。废水监测可以快速获得疾病传播的人群水平估计,我们利用无病原理,通过废水样本中未检测到严重急性呼吸综合征冠状病毒2(SARS-CoV-2)来估计社区无SARS-CoV-2传播的概率。通过对2020年5月至12月纽约州北部24个污水处理厂的废水监测发现,废水中SARS-CoV-2强度的趋势与冠状病毒病2019(COVID-19)发病率和检测阳性率(>0.5)的趋势相关,其中现患病例的相关性最强,且废水采样日期与临床检测日期之间有3天的提前期。在废水样本未检测到SARS-CoV-2的那一周,有35%的时间未报告COVID-19病例。与美国疾病控制与预防中心的传播风险水平相比,在未检测到SARS-CoV-2之后,50%的时间传播风险较低(无社区幸免),92%的时间传播风险为中度或更低(社区传播低)。废水监测可以显示新出现病原体传播的地理范围,确认传播风险不存在或很低,并警示传播风险增加。如果在COVID-19大流行开始之前就建立了全州范围的废水监测平台,政策制定者将能够以废水样本的代表性补充个体检测,这可能会带来更精确的公共卫生干预措施和政策。