Quantitative analysis of SARS-CoV-2 RNA in wastewater and evaluation of sampling frequency during the downward period of a COVID-19 wave in Japan

被引:3
|
作者
Kuroita, Tomohiro [1 ,2 ]
Yoshimura, Akimasa [2 ]
Iwamoto, Ryo [1 ,2 ,3 ]
Ando, Hiroki [3 ]
Okabe, Satoshi [3 ]
Kitajima, Masaaki [3 ]
机构
[1] AdvanSentinel Inc, 3-1-8 Doshomachi,Chuo Ku, Osaka 5410045, Japan
[2] Shionogi & Co Ltd, 3-1-8,Doshomachi,Chuo Ku, Osaka 5410045, Japan
[3] Hokkaido Univ, Fac Engn, Div Environm Engn, North 13,West 8,Kita Ku, Sapporo, Hokkaido 0608628, Japan
关键词
Wastewater-based epidemiology; COVID-19; SARS-CoV-2; Public health; EPISENS-S; qPCR;
D O I
10.1016/j.scitotenv.2023.166526
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Wastewater-based epidemiology (WBE) is a practical approach for detecting the presence of SARS-CoV-2 infections and assessing the epidemic trend of the coronavirus disease 2019 (COVID-19). The purpose of this study was to evaluate the minimum sampling frequency required to properly identify the COVID-19 trend during the downward epidemic period when using a highly sensitive RNA detection method. WBE was conducted using the Efficient and Practical virus Identification System with ENhanced Sensitivity for Solids (EPISENS-S), a highly sensitive SARS-CoV-2 RNA detection method, at nine neighboring wastewater treatment plants (WWTPs). These WWTPs were in the same prefecture in Japan, and they had different sewer types, sampling methods, and sampling frequencies. The overall detection rate of SARS-CoV-2 RNA was 97.8 % during the entire study period when the geometric means of new COVID-19 cases per 100,000 inhabitants were between 3.3 and 7.7 in each WWTP. The maximum SARS-CoV-2 RNA concentration in wastewater was 2.14 x 104 copies/L, which corresponded to pepper mild mottle virus (PMMoV)-normalized concentrations of 6.54 x 10- 3 . We evaluated the effect of sampling frequencies on the probability of a significant correlation with the number of newly reported COVID-19 cases by hypothetically reducing the sampling frequency in the same dataset. When the wastewater sampling frequency occurred 5, 3, 2, and 1 times per week, these results exhibited significant correlations of 100 % (5/5), 89 % (8/9), 85 % (23/27), and 48 % (13/27), respectively. To achieve significant correlation with a high probability of over 85 %, a minimum sampling frequency of twice per week is required, even if sampling methods and sewer types are different. WBE using the EPISENS-S method and a sampling frequency of more than twice a week can be used to properly monitor COVID-19 wave epidemic trends, even during downward periods.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Modeling the relationship between SARS-CoV-2 RNA in wastewater or sludge and COVID-19 cases in three New England regions
    Annesser, Elyssa
    Riseberg, Emily
    Brooks, Yolanda M.
    Corlin, Laura
    Stringer, Christina
    JOURNAL OF WATER AND HEALTH, 2022, 20 (05) : 816 - 828
  • [32] Temporal Analysis of SARS-CoV-2 Variants during the COVID-19 Pandemic in Nepal
    Paudel, Samrat
    Dahal, Amol
    Bhattarai, Hitesh Kumar
    COVID, 2021, 1 (02): : 423 - 434
  • [33] Tracking community infection dynamics of COVID-19 by monitoring SARS-CoV-2 RNA in wastewater, counting positive reactions by qPCR
    Zhao, Bo
    Fujita, Tomonori
    Nihei, Yoshiaki
    Yu, Zaizhi
    Chen, Xiaohan
    Tanaka, Hiroaki
    Ihara, Masaru
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 904
  • [34] Predicting COVID-19 cases using SARS-CoV-2 RNA in air, surface swab and wastewater samples
    Solo-Gabriele, Helena M.
    Kumar, Shelja
    Abelson, Samantha
    Penso, Johnathon
    Contreras, Julio
    Babler, Kristina M.
    Sharkey, Mark E.
    Mantero, Alejandro M. A.
    Lamar, Walter E.
    Tallon, John J., Jr.
    Kobetz, Erin
    Solle, Natasha Schaefer
    Shukla, Bhavarth S.
    Kenney, Richard J.
    Mason, Christopher E.
    Schurer, Stephan C.
    Vidovic, Dusica
    Williams, Sion L.
    Grills, George S.
    Jayaweera, Dushyantha T.
    Mirsaeidi, Mehdi
    Kumar, Naresh
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 857
  • [35] Detection and quantification of SARS-CoV-2 RNA in wastewater influent in relation to reported COVID-19 incidence in Finland
    Tiwari, Ananda
    Lipponen, Anssi
    Hokajarvi, Anna-Maria
    Luomala, Oskari
    Sarekoski, Anniina
    Rytkonen, Annastiina
    Osterlund, Pamela
    Al-Hello, Haider
    Juutinen, Aapo
    Miettinen, Ilkka T.
    Savolainen-Kopra, Carita
    Pitkanen, Tarja
    WATER RESEARCH, 2022, 215
  • [36] Persistence of SARS-CoV-2 in COVID-19 patients during the second wave of the pandemic in India
    Das, Arghya
    Vidyarthi, Ashima Jain
    Khan, Salman
    Singh, Sheetal
    Bala, Kiran
    Wundavalli, LaxmiTej
    Agarwal, Manali
    Ahmed, Jaweed
    Sehgal, Amit
    Grover, Pragati
    Parwez
    Narayan, Maitrayee
    Das, Bharat Chandra
    Chauhan, Amit
    Bhatnagar, Sushma
    Mohan, Anant
    Singh, Urvashi B.
    Chaudhry, Rama
    JOURNAL OF INFECTION IN DEVELOPING COUNTRIES, 2022, 16 (06): : 959 - 965
  • [37] Recurrence of positive SARS-CoV-2 RNA in COVID-19: A case report
    Chen, Dabiao
    Xu, Wenxiong
    Lei, Ziying
    Huang, Zhanlian
    Liu, Jing
    Gao, Zhiliang
    Peng, Liang
    INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2020, 93 : 297 - 299
  • [38] Platelets Can Associate With SARS-CoV-2 RNA and Are Hyperactivated in COVID-19
    Zaid, Younes
    Puhm, Florian
    Allaeys, Isabelle
    Naya, Abdallah
    Oudghiri, Mounia
    Khalki, Loubna
    Limami, Youness
    Zaid, Nabil
    Sadki, Khalid
    Ben El Haj, Rafiqua
    Mahir, Wissal
    Belayachi, Lamiae
    Belefquih, Bouchra
    Benouda, Amina
    Cheikh, Amine
    Langlois, Marc-Andre
    Cherrah, Yahia
    Flamand, Louis
    Guessous, Fadila
    Boilard, Eric
    CIRCULATION RESEARCH, 2020, 127 (11) : 1404 - 1418
  • [39] Urinary SARS-CoV-2 RNA Is an Indicator for the Progression and Prognosis of COVID-19
    Zhang, Lu
    Tian, Maoqing
    Song, Yuan
    Liang, Wei
    Li, Xiaogang
    Tong, Yongqing
    Wang, Huiming
    DIAGNOSTICS, 2021, 11 (11)
  • [40] Search for SARS-CoV-2 RNA in platelets from COVID-19 patients
    Bury, Loredana
    Camilloni, Barbara
    Castronari, Roberto
    Piselli, Elisa
    Malvestiti, Marco
    Borghi, Mariachiara
    KuchiBotla, Haripriya
    Falcinelli, Emanuela
    Petito, Eleonora
    Amato, Felice
    Paliani, Ugo
    Vaudo, Gaetano
    Cerotto, Vittorio
    Gori, Fabio
    Becattini, Cecilia
    De Robertis, Edoardo
    Lazzarini, Teseo
    Castaldo, Giuseppe
    Mencacci, Antonella
    Gresele, Paolo
    PLATELETS, 2021, 32 (02) : 284 - 287