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5. Editorial: Ensuring safe drinking water: converting commitment into action and foresight.

Author

Hrudey, Steve E., Gunnarsdottir, Maria J., Contos, Annalisa, and Petterson, Susan

Subjects
WATER quality management, DRINKING water quality, CONTAMINATION of drinking water, FECAL contamination, WATER utilities
Abstract

This editorial from the Journal of Water & Health emphasizes the importance of ensuring safe drinking water and converting commitment into action. It discusses the history of guidelines for drinking water quality and the shift towards a preventive risk management approach. The document highlights the development and implementation of Water Safety Plans (WSPs) as a means to achieve health-based targets. It includes insights from various countries on the implementation of WSPs, the importance of an enabling environment, continual improvement, risk assessment, and addressing natural hazardous events. The text provides valuable case studies and perspectives from different countries and settings, offering insights into the challenges and successes of implementing WSPs. [Extracted from the article]

Published
2024
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11. Editorial: SARS-CoV-2 in water

Author

Haramoto, Eiji (author), Medema, G.J. (author), Meschke, John Scott (author), Petterson, Susan (author), Haramoto, Eiji (author), Medema, G.J. (author), Meschke, John Scott (author), and Petterson, Susan (author)

Abstract

Sanitary Engineering

Published
2022
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12. Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance

Author

Ahmed, Warish, Simpson, Stuart, Bertsch, Paul, Bibby, Kyle, Bivins, Aaron, Blackall, Linda, Bofill-Mas, Sílvia, Bosch, Albert, Brandão, Joao, Choi, Phil, Ciesielski, Mark, Donner, Erica, D'Souza, Nishita, Farnleitner, Andreas, Gerrity, Daniel, González, Raúl, Griffith, John, Gyawali, Pradip, Haas, Charles, Hamilton, Kerry, Hapuarachchi, Chanditha, Harwood, Valerie, Haque, Rehnuma, Jackson, Greg, Khan, Stuart, Khan, Wesaal, Kitajima, Masaaki, Korajkic, Asja, La Rosa, Giuseppina, Layton, Blythe, Lipp, Erin, McLellan, Sandra L., McMinn, Brian, Medema, Gertjan, Metcalfe, Suzanne, Meijer , Wim, Mueller, Jochen, Murphy, Heather, Naughton, Colleen, Noble, Rachel T., Payyappat, Sudhi, Petterson, Susan, Pitkanen, Tarja, Rajal, Verónica, Reyneke, Brandon, Román, Fernando, Rose, Joan, Rusiñol, Marta, Sadowsky, Michael, Sala-Comorera, Laura, Setoh, Yin Xiang, Sherchan, Samendra, Sirikanchana, Kwanrawee, Smith, Wendy, Steele, Joshua, Sabburg, Rosalie, Symonds, Erin, Thai, Phong, Thomas, Kevin, Tynan, Josh, Toze, Simon, Thompson, Janelle, Whiteley, Andy, Wong, Judith, Sano, Daisuke, Wuertz, Stefan, Xagoraraki, Irene, Zhang, Qian, Zimmer-Faust, Amity, Shanks, Orin, Ahmed, Warish, Simpson, Stuart, Bertsch, Paul, Bibby, Kyle, Bivins, Aaron, Blackall, Linda, Bofill-Mas, Sílvia, Bosch, Albert, Brandão, Joao, Choi, Phil, Ciesielski, Mark, Donner, Erica, D'Souza, Nishita, Farnleitner, Andreas, Gerrity, Daniel, González, Raúl, Griffith, John, Gyawali, Pradip, Haas, Charles, Hamilton, Kerry, Hapuarachchi, Chanditha, Harwood, Valerie, Haque, Rehnuma, Jackson, Greg, Khan, Stuart, Khan, Wesaal, Kitajima, Masaaki, Korajkic, Asja, La Rosa, Giuseppina, Layton, Blythe, Lipp, Erin, McLellan, Sandra L., McMinn, Brian, Medema, Gertjan, Metcalfe, Suzanne, Meijer , Wim, Mueller, Jochen, Murphy, Heather, Naughton, Colleen, Noble, Rachel T., Payyappat, Sudhi, Petterson, Susan, Pitkanen, Tarja, Rajal, Verónica, Reyneke, Brandon, Román, Fernando, Rose, Joan, Rusiñol, Marta, Sadowsky, Michael, Sala-Comorera, Laura, Setoh, Yin Xiang, Sherchan, Samendra, Sirikanchana, Kwanrawee, Smith, Wendy, Steele, Joshua, Sabburg, Rosalie, Symonds, Erin, Thai, Phong, Thomas, Kevin, Tynan, Josh, Toze, Simon, Thompson, Janelle, Whiteley, Andy, Wong, Judith, Sano, Daisuke, Wuertz, Stefan, Xagoraraki, Irene, Zhang, Qian, Zimmer-Faust, Amity, and Shanks, Orin

Abstract

Wastewater surveillance for pathogens using reverse transcription-polymerase chain reaction (RT-PCR) is an effective and resource-efficient tool for gathering community-level public health information, including the incidence of coronavirus disease-19 (COVID-19). Surveillance of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) in wastewater can potentially provide an early warning signal of COVID-19 infections in a community. The capacity of the world's environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is increasing rapidly. However, there are no standardized protocols or harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can cause false-positive and false-negative errors in the surveillance of SARS-CoV-2 RNA in wastewater, culminating in recommended strategies that can be implemented to identify and mitigate some of these errors. Recommendations include stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, PCR inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularly when the incidence of SARS-CoV-2 in wastewater is low. Corrective and confirmatory actions must be in place for inconclusive results or results diverging from current trends (e.g., initial onset or reemergence of COVID-19 in a community). It is also prudent to perform interlaboratory comparisons to ensure results' reliability and interpretability for prospective and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization and detection for wastewater surveillance applications. A silver lining of the COVID-19 pandemi

Published
2022

15. Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance

Author

Ahmed, Warish, primary, Simpson, Stuart L., additional, Bertsch, Paul M., additional, Bibby, Kyle, additional, Bivins, Aaron, additional, Blackall, Linda L., additional, Bofill-Mas, Sílvia, additional, Bosch, Albert, additional, Brandão, João, additional, Choi, Phil M., additional, Ciesielski, Mark, additional, Donner, Erica, additional, D'Souza, Nishita, additional, Farnleitner, Andreas H., additional, Gerrity, Daniel, additional, Gonzalez, Raul, additional, Griffith, John F., additional, Gyawali, Pradip, additional, Haas, Charles N., additional, Hamilton, Kerry A., additional, Hapuarachchi, Hapuarachchige Chanditha, additional, Harwood, Valerie J., additional, Haque, Rehnuma, additional, Jackson, Greg, additional, Khan, Stuart J., additional, Khan, Wesaal, additional, Kitajima, Masaaki, additional, Korajkic, Asja, additional, La Rosa, Giuseppina, additional, Layton, Blythe A., additional, Lipp, Erin, additional, McLellan, Sandra L., additional, McMinn, Brian, additional, Medema, Gertjan, additional, Metcalfe, Suzanne, additional, Meijer, Wim G., additional, Mueller, Jochen F., additional, Murphy, Heather, additional, Naughton, Coleen C., additional, Noble, Rachel T., additional, Payyappat, Sudhi, additional, Petterson, Susan, additional, Pitkänen, Tarja, additional, Rajal, Veronica B., additional, Reyneke, Brandon, additional, Roman, Fernando A., additional, Rose, Joan B., additional, Rusiñol, Marta, additional, Sadowsky, Michael J., additional, Sala-Comorera, Laura, additional, Setoh, Yin Xiang, additional, Sherchan, Samendra P., additional, Sirikanchana, Kwanrawee, additional, Smith, Wendy, additional, Steele, Joshua A., additional, Sabburg, Rosalie, additional, Symonds, Erin M., additional, Thai, Phong, additional, Thomas, Kevin V., additional, Tynan, Josh, additional, Toze, Simon, additional, Thompson, Janelle, additional, Whiteley, Andy S., additional, Wong, Judith Chui Ching, additional, Sano, Daisuke, additional, Wuertz, Stefan, additional, Xagoraraki, Irene, additional, Zhang, Qian, additional, Zimmer-Faust, Amity G., additional, and Shanks, Orin C., additional

Published
2022
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18. Minimizing Errors in RT-PCR Detection and Quantification of SARS-CoV-2 RNA for Wastewater Surveillance

Author

Bosch, Albert [0000-0002-8111-9059], Brandão, Joao [0000-0001-7553-227X], La Rosa, Giuseppina [0000-0002-2657-100X], McLellan, Sandra L. [0000-0003-3283-1151], Noble, Rachel T. [0000-0001-9071-8312], Ahmed, Warish, Simpson, Stuart, Bertsch, Paul, Bibby, Kyle, Bivins, Aaron, Blackall, Linda, Bofill-Mas, Sílvia, Bosch, Albert, Brandão, Joao, Choi, Phil, Ciesielski, Mark, Donner, Erica, D'Souza, Nishita, Farnleitner, Andreas, Gerrity, Daniel, González, Raúl, Griffith, John, Gyawali, Pradip, Haas, Charles, Hamilton, Kerry, Hapuarachchi, Chanditha, Harwood, Valerie, Haque, Rehnuma, Jackson, Greg, Khan, Stuart, Khan,. Wesaal, Kitajima, Masaaki, Korajkic, Asja, La Rosa, Giuseppina, Layton, Blythe, Lipp, Erin, McLellan, Sandra L., McMinn, Brian, Medema, Gertjan, Metcalfe, Suzanne, Meijer , Wim, Mueller, Jochen, Murphy, Heather, Naughton, Colleen, Noble, Rachel T., Payyappat, Sudhi, Petterson, Susan, Pitkanen, Tarja, Rajal, Verónica, Reyneke, Brandon, Román, Fernando, Rose, Joan, Rusiñol, Marta, Sadowsky, Michael, Sala-Comorera, Laura, Setoh, Yin Xiang, Sherchan, Samendra, Sirikanchana, Kwanrawee, Smith, Wendy, Steele, Joshua, Sabburg, Rosalie, Symonds, Erin, Thai, Phong, Thomas, Kevin, Tynan, Josh, Toze, Simon, Thompson, Janelle, Whiteley, Andy, Wong, Judith, Sano, Daisuke, Wuertz, Stefan, Xagoraraki, Irene, Zhang, Qian, Zimmer-Faust, Amity, Shanks, Orin, Bosch, Albert [0000-0002-8111-9059], Brandão, Joao [0000-0001-7553-227X], La Rosa, Giuseppina [0000-0002-2657-100X], McLellan, Sandra L. [0000-0003-3283-1151], Noble, Rachel T. [0000-0001-9071-8312], Ahmed, Warish, Simpson, Stuart, Bertsch, Paul, Bibby, Kyle, Bivins, Aaron, Blackall, Linda, Bofill-Mas, Sílvia, Bosch, Albert, Brandão, Joao, Choi, Phil, Ciesielski, Mark, Donner, Erica, D'Souza, Nishita, Farnleitner, Andreas, Gerrity, Daniel, González, Raúl, Griffith, John, Gyawali, Pradip, Haas, Charles, Hamilton, Kerry, Hapuarachchi, Chanditha, Harwood, Valerie, Haque, Rehnuma, Jackson, Greg, Khan, Stuart, Khan,. Wesaal, Kitajima, Masaaki, Korajkic, Asja, La Rosa, Giuseppina, Layton, Blythe, Lipp, Erin, McLellan, Sandra L., McMinn, Brian, Medema, Gertjan, Metcalfe, Suzanne, Meijer , Wim, Mueller, Jochen, Murphy, Heather, Naughton, Colleen, Noble, Rachel T., Payyappat, Sudhi, Petterson, Susan, Pitkanen, Tarja, Rajal, Verónica, Reyneke, Brandon, Román, Fernando, Rose, Joan, Rusiñol, Marta, Sadowsky, Michael, Sala-Comorera, Laura, Setoh, Yin Xiang, Sherchan, Samendra, Sirikanchana, Kwanrawee, Smith, Wendy, Steele, Joshua, Sabburg, Rosalie, Symonds, Erin, Thai, Phong, Thomas, Kevin, Tynan, Josh, Toze, Simon, Thompson, Janelle, Whiteley, Andy, Wong, Judith, Sano, Daisuke, Wuertz, Stefan, Xagoraraki, Irene, Zhang, Qian, Zimmer-Faust, Amity, and Shanks, Orin

Abstract

Wastewater surveillance for pathogens using the reverse transcription-polymerase chain reaction (RT-PCR) is an effective, resource-efficient tool for gathering additional community-level public health information, including the incidence and/or prevalence and trends of coronavirus disease-19 (COVID-19). Surveillance of SARS-CoV-2 in wastewater may provide an early-warning signal of COVID-19 infections in a community. The capacity of the world’s environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is rapidly increasing. However, there are no standardized protocols nor harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can lead to false-positive and -negative errors in the surveillance of SARS-CoV-2, culminating in recommendations and strategies that can be implemented to identify and mitigate these errors. Recommendations include, stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, amplification inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularly during a low incidence of SARS-CoV-2 in wastewater. Corrective and confirmatory actions must be in place for inconclusive and/or potentially significant results (e.g., initial onset or reemergence of COVID-19 in a community). It will also be prudent to perform inter-laboratory comparisons to ensure results are reliable and interpretable for ongoing and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance was demo

Published
2021

19. Minimizing Errors in RT-PCR Detection and Quantification of SARS-CoV-2 RNA for Wastewater Surveillance

Author

Ahmed, Warish, primary, Simpson, Stuart, additional, Bertsch, Paul, additional, Bibby, Kyle, additional, Bivins, Aaron, additional, Blackall, Linda, additional, Bofill-Mas, Silvia, additional, Bosch, Albert, additional, Brandao, Joao, additional, Choi, Phil, additional, Ciesielski, Mark, additional, Donner, Erica, additional, D'Souza, Nishita, additional, Farnleitner, Andreas, additional, Gerrity, Daniel, additional, Gonzalez, Raul, additional, Griffith, John, additional, Gyawali, Pradip, additional, Haas, Charles, additional, Hamilton, Kerry, additional, Hapuarachchi, Chanditha, additional, Harwood, Valerie, additional, Haque, Rehnuma, additional, Jackson, Greg, additional, Khan, Stuart, additional, Khan, Wesaal, additional, Kitajima, Masaaki, additional, Korajkic, Asja, additional, La Rosa, Giuseppina, additional, Layton, Blythe, additional, Lipp, Erin, additional, McLellan, Sandra, additional, McMinn, Brian, additional, Medema, Gertjan, additional, Metcalfe, Suzanne, additional, Meijer, Wim, additional, Mueller, Jochen, additional, Murphy, Heather, additional, Naughton, Colleen, additional, Noble, Rachel, additional, Payyappat, Sudhi, additional, Petterson, Susan, additional, Pitkanen, Tarja, additional, Rajal, Veronica, additional, Reyneke, Brandon, additional, Roman, Fernando, additional, Rose, Joan, additional, Rusinol, Marta, additional, Sadowsky, Michael, additional, Sala-Comorera, Laura, additional, Setoh, Yin Xiang, additional, Sherchan, Samendra, additional, Sirikanchana, Kwanrawee, additional, Smith, Wendy, additional, Steele, Joshua, additional, Sabburg, Rosalie, additional, Symonds, Erin, additional, Thai, Phong, additional, Thomas, Kevin, additional, Tynan, Josh, additional, Toze, Simon, additional, Thompson, Janelle, additional, Whiteley, Andy, additional, Wong, Judith, additional, Sano, Daisuke, additional, Wuertz, Stefan, additional, Xagoraraki, Irene, additional, Zhang, Qian, additional, Zimmer-Faust, Amity, additional, and Shanks, Orin, additional

Published
2021
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25. Microbial risk assessment of drinking water based on hydrodynamic modelling of pathogen concentrations in source water

Author

Sokolova, Ekaterina, Petterson, Susan R., Dienus, Olaf, Nyström, Fredrik, Lindgren, Per-Eric, Pettersson, Thomas J. R., Sokolova, Ekaterina, Petterson, Susan R., Dienus, Olaf, Nyström, Fredrik, Lindgren, Per-Eric, and Pettersson, Thomas J. R.

Abstract

Norovirus contamination of drinking water sources is an important cause of waterborne disease outbreaks. Knowledge on pathogen concentrations in source water is needed to assess the ability of a drinking water treatment plant (DWTP) to provide safe drinking water. However, pathogen enumeration in source water samples is often not sufficient to describe the source water quality. In this study, the norovirus concentrations were characterised at the contamination source, i.e. in sewage discharges. Then, the transport of norovirus within the water source (the river Gota alv in Sweden) under different loading conditions was simulated using a hydrodynamic model. Based on the estimated concentrations in source water, the required reduction of norovirus at the DWTP was calculated using quantitative microbial risk assessment (QMRA). The required reduction was compared with the estimated treatment performance at the DWTP. The average estimated concentration in source water varied between 4.8 x 10(2) and 7.5 x 10(3) genome equivalents L-1; and the average required reduction by treatment was between 7.6 and 8.8 Log(10). The treatment performance at the DWTP was estimated to be adequate to deal with all tested loading conditions, but was heavily dependent on chlorine disinfection, with the risk of poor reduction by conventional treatment and slow sand filtration. To our knowledge, this is the first article to employ discharge-based QMRA, combined with hydrodynamic modelling, in the context of drinking water. (C) 2015 Elsevier B.V. All rights reserved., Funding Agencies|Graduate School on Environment and Health (Forskarskolan Miljo och Halsa) [RUN 612-0283-13]; Chalmers University of Technology; University of Gothenburg; Region Vastra Gotaland, Sweden; European Union project VISK (Interreg IV A programme) [00148715]; Swedish Water and Wastewater Association (Svenskt Vatten) [SVU 45-11]

Published
2015
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26. Hur man arbetar för att minska samhällets sårbarhet för vattenburen virussmitta trots förändrat klimat.

Author

Bergstedt, Oluf, Blom, Lena, Friberg, Joanna, Furuberg, Kjetil, Gjerstad, Karl Olav, Grönvall, Pontus, Håkonsen, Tor, Kjellberg, Inger, Lindgren, Per-Eric, L. Kvitsand, Hanne, Malmroth, Sara, Morrison, Greg, Myrmel, Mette, Nyström, Fredrik, Ottoson, Jakob, Petterson, Susan, Pettersson, Thomas, Rosado, Ricardo, Sal, Lena Solli, Schultz, Anna Charlotte, Simonsson, Magnus, Sokolova, Ekaterina, Bergstedt, Oluf, Blom, Lena, Friberg, Joanna, Furuberg, Kjetil, Gjerstad, Karl Olav, Grönvall, Pontus, Håkonsen, Tor, Kjellberg, Inger, Lindgren, Per-Eric, L. Kvitsand, Hanne, Malmroth, Sara, Morrison, Greg, Myrmel, Mette, Nyström, Fredrik, Ottoson, Jakob, Petterson, Susan, Pettersson, Thomas, Rosado, Ricardo, Sal, Lena Solli, Schultz, Anna Charlotte, Simonsson, Magnus, and Sokolova, Ekaterina

Published
2013

31. Microbial risk assessment of drinking water based on hydrodynamic modelling of pathogen concentrations in source water.

Author

Sokolova E, Petterson SR, Dienus O, Nyström F, Lindgren PE, and Pettersson TJ

Subjects
Hydrodynamics, Models, Theoretical, Risk Assessment methods, Drinking Water parasitology, Environmental Monitoring, Water Microbiology, Water Quality standards
Abstract

Norovirus contamination of drinking water sources is an important cause of waterborne disease outbreaks. Knowledge on pathogen concentrations in source water is needed to assess the ability of a drinking water treatment plant (DWTP) to provide safe drinking water. However, pathogen enumeration in source water samples is often not sufficient to describe the source water quality. In this study, the norovirus concentrations were characterised at the contamination source, i.e. in sewage discharges. Then, the transport of norovirus within the water source (the river Göta älv in Sweden) under different loading conditions was simulated using a hydrodynamic model. Based on the estimated concentrations in source water, the required reduction of norovirus at the DWTP was calculated using quantitative microbial risk assessment (QMRA). The required reduction was compared with the estimated treatment performance at the DWTP. The average estimated concentration in source water varied between 4.8×10(2) and 7.5×10(3) genome equivalents L(-1); and the average required reduction by treatment was between 7.6 and 8.8 Log10. The treatment performance at the DWTP was estimated to be adequate to deal with all tested loading conditions, but was heavily dependent on chlorine disinfection, with the risk of poor reduction by conventional treatment and slow sand filtration. To our knowledge, this is the first article to employ discharge-based QMRA, combined with hydrodynamic modelling, in the context of drinking water., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Published
2015
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