Biomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg, Cape Town 7505, South Africa; Department of Microbiology, Stellenbosch University, Stellenbosch 7600, South Africa.
Department of Microbiology, Stellenbosch University, Stellenbosch 7600, South Africa.
Sci Total Environ. 2022 Dec 10;851(Pt 1):158028. doi: 10.1016/j.scitotenv.2022.158028. Epub 2022 Aug 13.
The current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) diagnostic capacity is limited in defined communities, posing a challenge in tracking and tracing new infections. Monitoring student residences, which are considered infection hotspots, with targeted wastewater surveillance is crucial. This study evaluated the efficacy of SARS-CoV-2 targeted wastewater surveillance for outbreak mitigation at Stellenbosch University's student residences in South Africa. Using torpedo-style passive sampling devices, wastewater samples were collected biweekly from manholes at twelve Stellenbosch University Tygerberg (SUT) campus and Stellenbosch University-Main (SUM) campus student residences. The surveillance led to an early warning detection of SARS-CoV-2 presence on campus, followed by an informed management strategy leading to restriction of student activities on campus and a delay in the onset of the third wave that was experienced throughout the country. Moreover, the study highlighted the extent of possible infections at defined locations even when a low number of confirmed coronavirus disease 2019 (COVID-19) cases were reported. The study also tracked the surge of the Delta and Omicron variants in the student residences using the Thermo Fisher TaqMan® RT-qPCR genotyping assay.
目前,严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)的诊断能力在特定社区受到限制,这对追踪和发现新感染构成了挑战。对被认为是感染热点的学生宿舍进行有针对性的污水监测至关重要。本研究评估了靶向 SARS-CoV-2 的污水监测在南非斯坦陵布什大学学生宿舍爆发中的缓解效果。研究使用鱼雷式被动采样设备,每两周从斯坦陵布什大学泰格伯格(SUT)校区和斯坦陵布什大学主校区(SUM)学生宿舍的检查井收集污水样本。监测结果提前预警了 SARS-CoV-2 在校园内的存在,随后采取了知情管理策略,限制了学生在校园内的活动,并延迟了全国范围内经历的第三波疫情的爆发。此外,该研究还强调了即使报告的 2019 年冠状病毒病(COVID-19)确诊病例数量较少,也能在特定地点发现可能存在的感染程度。该研究还使用赛默飞世尔科技 TaqMan® RT-qPCR 基因分型检测试剂盒跟踪了学生宿舍中德尔塔和奥密克戎变异株的激增情况。