著者

Yuki Furuse Yura K Ko Mayuko Saito Yugo Shobugawa Kazuaki Jindai Tomoya Saito Hiroshi Nishiura Tomimasa Sunagawa Motoi Suzuki National Task Force for COVID-19 Outbreak in Japan

出版者

National Institute of Infectious Diseases, Japanese Journal of Infectious Diseases Editorial Committee

雑誌

Japanese Journal of Infectious Diseases (ISSN:13446304)

巻号頁・発行日

pp.JJID.2020.271, (Released:2020-04-30)

参考文献数

8

被引用文献数

76

著者

Yifan Zhu Wakana Oishi Mayuko Saito Masaaki Kitajima Daisuke Sano

出版者

Japan Society on Water Environment

雑誌

Journal of Water and Environment Technology (ISSN:13482165)

巻号頁・発行日

vol.19, no.3, pp.170-183, 2021 (Released:2021-06-10)

参考文献数

60

被引用文献数

9

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Amid the ongoing battle against COVID-19, the scientific community has high hope in wastewater-based epidemiology (WBE). It was not only proposed as a complement to capacity-plagued clinical testing, but also an early warning tool that may enable timely intervention measures. In this study, we developed a wastewater SARS-CoV-2 RNA load model based on the fecal shedding profile of infected individuals. The epidemic data of COVID-19 in the Tokyo metropolitan area were used to perform a simulation to analyze the capability of WBE in providing early warning. The simulation result suggests that under the current settings, WBE is not a feasible approach as the detection limit is too high to provide a warning signal in the early stage of the epidemic. However, it also indicates that if the methodology can be reasonably improved by new experimental practices, optimized sampling strategy, and refined model, the concentration of viral RNA in Tokyo wastewater would exceed the detection limit as early as in April 2020, when Tokyo was being hit by the first wave of COVID-19 outbreak. This early detection may have great social benefit if the detection can be used to facilitate the decision-making process and form epidemic emergency response.