tetano
Editor, Senior Moderator
Curr Opin Environ Sci Health
. 2023 Jun;33:100458.
doi: 10.1016/j.coesh.2023.100458. Epub 2023 Mar 7.
Moving forward with COVID-19: Future research prospects of wastewater-based epidemiology methodologies and applications
Guangming Jiang[SUP] 1 2 [/SUP], Yanchen Liu[SUP] 3 [/SUP], Song Tang[SUP] 4 [/SUP], Masaaki Kitajima[SUP] 5 [/SUP], Eiji Haramoto[SUP] 6 [/SUP], Sudipti Arora[SUP] 7 [/SUP], Phil M Choi[SUP] 8 [/SUP], Greg Jackson[SUP] 8 [/SUP], Patrick M D'Aoust[SUP] 9 [/SUP], Robert Delatolla[SUP] 9 [/SUP], Shuxin Zhang[SUP] 1 [/SUP], Ying Guo[SUP] 1 [/SUP], Jiangping Wu[SUP] 1 [/SUP], Yan Chen[SUP] 1 [/SUP], Elipsha Sharma[SUP] 1 [/SUP], Tanjila Alam Prosun[SUP] 1 [/SUP], Jiawei Zhao[SUP] 1 [/SUP], Manish Kumar[SUP] 10 11 [/SUP], Ryo Honda[SUP] 12 [/SUP], Warish Ahmed[SUP] 13 [/SUP], Jon Meiman[SUP] 14 [/SUP]
Affiliations
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: Artificial intelligence; COVID-19; Influenza; SARS-CoV-2; Sewer; Wastewater-based epidemiology.
. 2023 Jun;33:100458.
doi: 10.1016/j.coesh.2023.100458. Epub 2023 Mar 7.
Moving forward with COVID-19: Future research prospects of wastewater-based epidemiology methodologies and applications
Guangming Jiang[SUP] 1 2 [/SUP], Yanchen Liu[SUP] 3 [/SUP], Song Tang[SUP] 4 [/SUP], Masaaki Kitajima[SUP] 5 [/SUP], Eiji Haramoto[SUP] 6 [/SUP], Sudipti Arora[SUP] 7 [/SUP], Phil M Choi[SUP] 8 [/SUP], Greg Jackson[SUP] 8 [/SUP], Patrick M D'Aoust[SUP] 9 [/SUP], Robert Delatolla[SUP] 9 [/SUP], Shuxin Zhang[SUP] 1 [/SUP], Ying Guo[SUP] 1 [/SUP], Jiangping Wu[SUP] 1 [/SUP], Yan Chen[SUP] 1 [/SUP], Elipsha Sharma[SUP] 1 [/SUP], Tanjila Alam Prosun[SUP] 1 [/SUP], Jiawei Zhao[SUP] 1 [/SUP], Manish Kumar[SUP] 10 11 [/SUP], Ryo Honda[SUP] 12 [/SUP], Warish Ahmed[SUP] 13 [/SUP], Jon Meiman[SUP] 14 [/SUP]
Affiliations
- PMID: 37034453
- PMCID: PMC10065412
- DOI: 10.1016/j.coesh.2023.100458
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: Artificial intelligence; COVID-19; Influenza; SARS-CoV-2; Sewer; Wastewater-based epidemiology.