Wastewater surveillance-based city zonation for effective COVID-19 pandemic preparedness powered by early warning: A perspectives of temporal variations in SARS-CoV-2-RNA in Ahmedabad, India.
Wastewater surveillance-based city zonation for effective COVID-19 pandemic preparedness powered by early warning: A perspectives of temporal variations in SARS-CoV-2-RNA in Ahmedabad, India.
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DOI：
10.1016/j.scitotenv.2021.148367
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发表时间：
2021-10-20
期刊：
影响因子：
--
通讯作者：
Dave S
中科院分区：
文献类型：
--
作者：
Kumar M;Joshi M;Shah AV;Srivastava V;Dave S
在废水中检测严重急性呼吸道冠状病毒2型（SARS-CoV-2）RNA的概念、能力和局限性得到证实后，有必要了解各种规模废水监测数据的实用性。在目前的工作中，我们提出了第一个基于废水监测的城市分区，以有效应对COVID-19大流行。对印度古吉拉特邦世界遗产城市阿赫梅达巴德进行了为期三个月的废水监测和流行病早期预测。在这次考察中，从2020年9月3日至11月26日，对116个废水样本进行了分析，以检测SARS-CoV-2 RNA。共检测到111份样本中至少有两个SARS-CoV-2基因（N，ORF 1ab和S）。与2020年9月相比，10月的三个基因拷贝数均显著下降，随后在2020年11月急剧增加。相应地，平均有效基因浓度由高到低的顺序为：11月（~10,729拷贝/L）> 9月（~3047拷贝/L）> 10月（~454拷贝/L）。废水样本中SARS-CoV-2 RNA的月变化可能归因于2020年10月活动病例总数下降20.48%，而2020年11月上升1.82%。此外，2020年9月、10月和11月的每月新增病例分别为16.61%、20.03%和15.58%。相对于确诊病例临时数字的百分比变化，在1-2周前观察到基因浓度的百分比变化。基于SWEEP数据的城市分区与阿赫梅达巴德市整体COVID-19感染人群的热图相匹配，图上显示了每月的有效基因浓度变化。研究结果阐述了WBE COVID-19监测作为城市分区工具的潜力，可以通过对给定城市内COVID-19热点的高级识别来进行有意义的解释、预测和传播，以促进社区准备。
Following the proven concept, capabilities, and limitations of detecting the RNA of Severe Acute Respiratory Coronavirus 2 (SARS-CoV-2) in wastewater, it is pertinent to understand the utility of wastewater surveillance data on various scale. In the present work, we put forward the first wastewater surveillance-based city zonation for effective COVID-19 pandemic preparedness. A three-month data of Surveillance of Wastewater for Early Epidemic Prediction (SWEEP) was generated for the world heritage city of Ahmedabad, Gujarat, India. In this expedition, 116 wastewater samples were analyzed to detect SARS-CoV-2 RNA, from September 3rd to November 26th, 2020. A total of 111 samples were detected with at least two out of three SARS-CoV-2 genes (N, ORF 1ab, and S). Monthly variation depicted a significant decline in all three gene copies in October compared to September 2020, followed by a sharp increment in November 2020. Correspondingly, the descending order of average effective gene concentration was: November (~10,729 copies/L) > September (~3047 copies/L) > October (~454 copies/L). Monthly variation of SARS-CoV-2 RNA in the wastewater samples may be ascribed to a decline of 20.48% in the total number of active cases in October 2020 and a rise of 1.82% in November 2020. Also, the monthly recovered new cases were found to be 16.61, 20.03, and 15.58% in September, October, and November 2020, respectively. The percentage change in the gene concentration was observed in the lead of 1–2 weeks with respect to the percentage change in the provisional figures of confirmed cases. SWEEP data-based city zonation was matched with the heat map of the overall COVID-19 infected population in Ahmedabad city, and month-wise effective gene concentration variations are shown on the map. The results expound on the potential of WBE surveillance of COVID-19 as a city zonation tool that can be meaningfully interpreted, predicted, and propagated for community preparedness through advanced identification of COVID-19 hotspots within a given city.
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DOI：
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