Department of Sanitary and Environmental Engineering (DESA), Federal University of Minas Gerais (UFMG), Brazil.
Department of Sanitary and Environmental Engineering (DESA), Federal University of Minas Gerais (UFMG), Brazil.
Sci Total Environ. 2023 Feb 20;860:160498. doi: 10.1016/j.scitotenv.2022.160498. Epub 2022 Nov 25.
The COVID-19 pandemic has caused a global health crisis, and wastewater-based epidemiology (WBE) has emerged as an important tool to assist public health decision-making. Recent studies have shown that the SARS-CoV-2 RNA concentration in wastewater samples is a reliable indicator of the severity of the pandemic for large populations. However, few studies have established a strong correlation between the number of infected people and the viral concentration in wastewater due to variations in viral shedding over time, viral decay, infiltration, and inflow. Herein we present the relationship between the number of COVID-19-positive patients and the viral concentration in wastewater samples from three different hospitals (A, B, and C) in the city of Belo Horizonte, Minas Gerais, Brazil. A positive and strong correlation between wastewater SARS-CoV-2 concentration and the number of confirmed cases was observed for Hospital B for both regions of the N gene (R = 0.89 and 0.77 for N1 and N2, respectively), while samples from Hospitals A and C showed low and moderate correlations, respectively. Even though the effects of viral decay and infiltration were minimized in our study, the variability of viral shedding throughout the infection period and feces dilution due to water usage for different activities in the hospitals could have affected the viral concentrations. These effects were prominent in Hospital A, which had the smallest sewershed population size, and where no correlation between the number of defecations from COVID-19 patients and viral concentration in wastewater was observed. Although we could not determine trends in the number of infected patients through SARS-CoV-2 concentrations in hospitals' wastewater samples, our results suggest that wastewater monitoring can be efficient for the detection of infected individuals at a local level, complementing clinical data.
新型冠状病毒肺炎疫情已在全球范围内引发公共卫生危机,基于污水的流行病学(WBE)已成为协助公共卫生决策的重要手段。最近的研究表明,污水样本中 SARS-CoV-2 RNA 浓度是衡量大人群中疫情严重程度的可靠指标。然而,由于病毒随时间的脱落、衰减、渗透和流入变化,很少有研究建立了受感染人数与污水中病毒浓度之间的强相关性。在此,我们展示了巴西米纳斯吉拉斯州贝洛奥里藏特市三家不同医院(A、B 和 C)污水样本中新冠病毒阳性患者人数与病毒浓度之间的关系。我们观察到,B 医院的污水 SARS-CoV-2 浓度与确诊病例数之间存在正相关和强相关性,N 基因的两个区域均如此(N1 和 N2 的 R 值分别为 0.89 和 0.77),而 A 医院和 C 医院的样本分别显示出低相关性和中相关性。尽管在我们的研究中,病毒衰减和渗透的影响被最小化了,但在整个感染期间病毒脱落的可变性以及由于医院内不同活动用水导致的粪便稀释,可能会影响病毒浓度。这些影响在 A 医院中尤为显著,该医院的污水流域人口规模最小,而且没有观察到 COVID-19 患者粪便数量与污水中病毒浓度之间的相关性。尽管我们无法通过医院污水样本中的 SARS-CoV-2 浓度确定受感染患者人数的趋势,但我们的结果表明,污水监测可以在当地有效地检测到受感染个体,从而补充临床数据。