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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.
  • Jiang G; School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
  • Liu Y; Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW 2522, Australia.
  • Tang S; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
  • Kitajima M; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Chaoyang District, Beijing 100021, China.
  • Haramoto E; Division of Environmental Engineering, Faculty of Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan.
  • Arora S; Interdisciplinary Center for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi 400-8511, Japan.
  • Choi PM; Dr. B. Lal Institute of Biotechnology, 6-E, Malviya Industrial Area, Malviya Nagar, Jaipur, 302017, India.
  • Jackson G; Water Unit, Health Protection Branch, Queensland Public Health and Scientific Services, Queensland Health, Australia.
  • D'Aoust PM; Water Unit, Health Protection Branch, Queensland Public Health and Scientific Services, Queensland Health, Australia.
  • Delatolla R; Department of Civil Engineering, University of Ottawa, Ottawa, Ontario, Canada.
  • Zhang S; Department of Civil Engineering, University of Ottawa, Ottawa, Ontario, Canada.
  • Guo Y; School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
  • Wu J; School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
  • Chen Y; School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
  • Sharma E; School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
  • Prosun TA; School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
  • Zhao J; School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
  • Kumar M; School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
  • Honda R; Sustainability Cluster, School of Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.
  • Ahmed W; Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Campus Monterey, Monterrey, 64849, Nuevo Leon, Mexico.
  • Meiman J; Faculty of Geosciences and Civil Engineering, Kanazawa University, Kanazawa, Japan.
Curr Opin Environ Sci Health ; 33: 100458, 2023 Jun.
Article in English | MEDLINE | ID: covidwho-2264702
ABSTRACT
Wastewater-based epidemiology (WBE) has been demonstrated for its great potential in tracking of coronavirus disease 2019 (COVID-19) transmission among populations despite some inherent methodological limitations. These include non-optimized sampling approaches and analytical methods; stability of viruses in sewer systems; partitioning/retention in biofilms; and the singular and inaccurate back-calculation step to predict the number of infected individuals in the community. Future research is expected to (1) standardize best practices in wastewater sampling, analysis and data reporting protocols for the sensitive and reproducible detection of viruses in wastewater; (2) understand the in-sewer viral stability and partitioning under the impacts of dynamic wastewater flow, properties, chemicals, biofilms and sediments; and (3) achieve smart wastewater surveillance with artificial intelligence and big data models. Further specific research is essential in the monitoring of other viral pathogens with pandemic potential and subcatchment applications to maximize the benefits of WBE beyond COVID-19.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Observational study / Prognostic study Language: English Journal: Curr Opin Environ Sci Health Year: 2023 Document Type: Article Affiliation country: J.coesh.2023.100458

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Observational study / Prognostic study Language: English Journal: Curr Opin Environ Sci Health Year: 2023 Document Type: Article Affiliation country: J.coesh.2023.100458