Evaluating survey techniques in wastewater-based epidemiology for accurate COVID-19 incidence estimation

被引:0
|
作者
Murakami, Michio [1 ]
Ando, Hiroki [2 ,3 ]
Yamaguchi, Ryo [4 ]
Kitajima, Masaaki [1 ,2 ,5 ]
机构
[1] Center for Infectious Disease Education and Research, Osaka University, 2-8 Yamadaoka, Osaka, Suita-shi,565-0871, Japan
[2] Division of Environmental Engineering, Faculty of Engineering, Hokkaido University, North 13 West 8, Kita-ku, Hokkaido, Sapporo,060-8628, Japan
[3] Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson,AZ,85724, United States
[4] Public Health Office, City of Sapporo, West 19, Odori, Chuo-ku, Hokkaido, Sapporo,060-0042, Japan
[5] Research Center for Water Environment Technology, School of Engineering, The University of Tokyo, 2-11-16 Yayoi, Tokyo, Bunkyo-ku,113-0032, Japan
基金
日本科学技术振兴机构;
关键词
Analytical sensitivity - Coronaviruses - High quality - Representative values - Sampling frequencies - Severe acute respiratory syndrome coronavirus - Survey methods - Survey techniques - Wastewater surveillance - Wastewater-based epidemiological monitoring;
D O I
10.1016/j.scitotenv.2024.176702
中图分类号
学科分类号
摘要
Wastewater-based epidemiology (WBE) requires high-quality survey methods to determine the incidence of infections in wastewater catchment areas. In this study, the wastewater survey methods necessary for comprehending the incidence of infection by WBE are clarified. This clarification is based on the correlation with the number of confirmed coronavirus disease 2019 (COVID-19) cases, considering factors such as handling non-detect data, calculation method for representative values, analytical sensitivity, analytical reproducibility, sampling frequency, and survey duration. Data collected from 15 samples per week for two and a half years using a highly accurate analysis method were regarded as gold standard data, and the correlation between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA concentrations in wastewater and confirmed COVID-19 cases was analyzed by Monte Carlo simulation under the hypothetical situation where the quality of the wastewater survey method was reduced. Regarding data handling, it was appropriate to replace non-detect data with estimates based on distribution, and to use geometric means to calculate representative values. For the analysis of SARS-CoV-2 RNA in samples, using a highly sensitive and reproducible method (non-detect rates of © 2024 The Authors
引用
收藏
相关论文
共 50 条
  • [21] Antimicrobials and antimicrobial resistance genes in the shadow of COVID-19 pandemic: A wastewater-based epidemiology perspective
    Xu, Like
    Ceolotto, Nicola
    Jagadeesan, Kishore
    Standerwick, Richard
    Robertson, Megan
    Barden, Ruth
    Kasprzyk-Hordern, Barbara
    WATER RESEARCH, 2024, 257
  • [22] An integrated biosensor system with mobile health and wastewater-based epidemiology (iBMW) for COVID-19 pandemic
    Mao, Kang
    Zhang, Hua
    Yang, Zhugen
    BIOSENSORS & BIOELECTRONICS, 2020, 169 (169):
  • [23] Centralized and decentralized wastewater-based epidemiology to infer COVID-19 transmission-A brief review
    Goncalves, Jose
    Torres-Franco, Andres
    Rodriguez, Elisa
    Diaz, Israel
    Koritnik, Tom
    Silva, Priscilla Gomes da
    Mesquita, Joao R.
    Trkov, Marija
    Paragi, Metka
    Munoz, Raul
    Garcia-Encina, Pedro A.
    ONE HEALTH, 2022, 15
  • [24] Wastewater-based epidemiology revealed in advance the increase of enterovirus circulation during the Covid-19 pandemic
    Pellegrinelli, Laura
    Galli, Cristina
    Seiti, Arlinda
    Primache, Valeria
    Hirvonen, Aurora
    Schiarea, Silvia
    Salmoiraghi, Giulia
    Castiglioni, Sara
    Ammoni, Emanuela
    Cereda, Danilo
    Binda, Sandro
    Pariani, Elena
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 902
  • [25] Wastewater-based epidemiology: a new frontier for tracking environmental persistence and community transmission of COVID-19
    Dutta, Harsh
    Kaushik, Geetanjali
    Dutta, Venkatesh
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (57) : 85688 - 85699
  • [26] Monitoring changes in COVID-19 infection using wastewater-based epidemiology: A South African perspective
    Pillay, Leanne
    Amoah, Isaac Dennis
    Deepnarain, Nashia
    Pillay, Kriveshin
    Awolusi, Oluyemi Olatunji
    Kumari, Sheena
    Bux, Faizal
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 786
  • [27] USING WASTEWATER-BASED EPIDEMIOLOGY AS A POTENTIAL INSTRUMENT FOR THE PREDICTION AND CONTROL OF COVID-19 DISEASE OUTBREAKS
    Lowe, Natalie
    Bencko, Vladimir
    CENTRAL EUROPEAN JOURNAL OF PUBLIC HEALTH, 2022, 30 (01) : 3 - 6
  • [28] Wastewater-based epidemiology: a new frontier for tracking environmental persistence and community transmission of COVID-19
    Harsh Dutta
    Geetanjali Kaushik
    Venkatesh Dutta
    Environmental Science and Pollution Research, 2022, 29 : 85688 - 85699
  • [29] Moving forward with COVID-19: Future research prospects of wastewater-based epidemiology methodologies and applications
    Jiang, Guangming
    Liu, Yanchen
    Tang, Song
    Kitajima, Masaaki
    Haramoto, Eiji
    Arora, Sudipti
    Choi, Phil M.
    Jackson, Greg
    D'Aoust, Patrick M.
    Delatolla, Robert
    Zhang, Shuxin
    Guo, Ying
    Wu, Jiangping
    Chen, Yan
    Sharma, Elipsha
    Prosun, Tanjila Alam
    Zhao, Jiawei
    Kumar, Manish
    Honda, Ryo
    Ahmed, Warish
    Meiman, Jon
    CURRENT OPINION IN ENVIRONMENTAL SCIENCE & HEALTH, 2023, 33
  • [30] Artificial neural network-based estimation of COVID-19 case numbers and effective reproduction rate using wastewater-based epidemiology
    Jiang, Guangming
    Wu, Jiangping
    Weidhaas, Jennifer
    Li, Xuan
    Chen, Yan
    Mueller, Jochen
    Li, Jiaying
    Kumar, Manish
    Zhou, Xu
    Arora, Sudipti
    Haramoto, Eiji
    Sherchan, Samendra
    Orive, Gorka
    Lertxundi, Unax
    Honda, Ryo
    Kitajima, Masaaki
    Jackson, Greg
    WATER RESEARCH, 2022, 218