Tandukar Sarmila, Thakali Ocean, Tiwari Ananda, Baral Rakshya, Malla Bikash, Haramoto Eiji, Shakya Jivan, Tuladhar Reshma, Joshi Dev Raj, Sharma Bhawana, Shrestha Bhushan Raj, Sherchan Samendra P
Organization for Public Health and Environmental Management, Lalitpur 44700, Nepal.
Expert Microbiology Research Unit, Finnish Institute for Health and Welfare, 70701 Kuopio, Finland.
Pathogens. 2024 Apr 29;13(5):366. doi: 10.3390/pathogens13050366.
Wastewater surveillance (WS) has been used globally as a complementary tool to monitor the spread of coronavirus disease 2019 (COVID-19) throughout the pandemic. However, a concern about the appropriateness of WS in low- and middle-income countries (LMICs) exists due to low sewer coverage and expensive viral concentration methods. In this study, influent wastewater samples (n = 63) collected from two wastewater treatment plants (WWTPs) of the Kathmandu Valley between March 2021 and February 2022 were concentrated using the economical skimmed-milk flocculation method (SMFM). The presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was tested by qPCR using assays that target the nucleocapsid (N) and envelope (E) genes. Overall, 84% (53/63) of the total samples were positive for SARS-CoV-2 according to at least one of the tested assays, with concentrations ranging from 3.5 to 8.3 log gene copies/L, indicating the effectiveness of the SMFM. No correlation was observed between the total number of COVID-19 cases and SARS-CoV-2 RNA concentrations in wastewater collected from the two WWTPs ( > 0.05). This finding cautions the prediction of future COVID-19 waves and the estimation of the number of COVID-19 cases based on wastewater concentration in settings with low sewer coverage by WWTPs. Future studies on WS in LMICs are recommended to be conducted by downscaling to sewer drainage, targeting a limited number of houses. Overall, this study supports the notion that SMFM can be an excellent economical virus-concentrating method for WS of COVID-19 in LMICs.
在整个新冠疫情期间,废水监测(WS)已在全球范围内用作监测2019冠状病毒病(COVID-19)传播的补充工具。然而,由于下水道覆盖率低和病毒浓缩方法昂贵,人们对低收入和中等收入国家(LMICs)使用废水监测的适用性存在担忧。在本研究中,采用经济的脱脂牛奶絮凝法(SMFM)对2021年3月至2022年2月期间从加德满都谷地的两个污水处理厂(WWTPs)采集的进水废水样本(n = 63)进行浓缩。使用针对核衣壳(N)和包膜(E)基因的检测方法,通过qPCR检测严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的存在。总体而言,根据至少一种检测方法,84%(53/63)的样本SARS-CoV-2呈阳性,浓度范围为3.5至8.3 log基因拷贝/升,表明SMFM有效。从两个污水处理厂收集的废水中,COVID-19病例总数与SARS-CoV-2 RNA浓度之间未观察到相关性(> 0.05)。这一发现警示了在污水处理厂下水道覆盖率低的地区,基于废水浓度预测未来COVID-19浪潮和估计COVID-19病例数的做法。建议未来在低收入和中等收入国家进行废水监测研究时缩小规模至下水道排水,以有限数量的房屋为目标。总体而言,本研究支持以下观点:SMFM可以成为低收入和中等收入国家用于COVID-19废水监测的一种出色的经济病毒浓缩方法。