Maria E. Hasing


2022

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Emergence and Spread of the SARS-CoV-2 Omicron Variant in Alberta Communities Revealed by Wastewater Monitoring
Casey R. J. Hubert, Nicole Acosta, Barbara Waddell, Maria E. Hasing, Yuanyuan Qiu, Meghan Fuzzen, Nathanael B.J. Harper, María Bautista, Tiejun Gao, Chloe Papparis, Jenn Van Doorn, Kristine Du, Kevin Xiang, Leslie Chan, Laura Vivas, Puja Pradhan, Janine McCalder, Kashtin Low, Whitney England, John Conly, M. Cathryn Ryan, Gopal Achari, Jia Hu, Jason Cabaj, Chris Sikora, Larry Svenson, Nathan Zelyas, Mark R. Servos, Jon Meddings, Steve E. Hrudey, Kevin J. Frankowski, Michael D. Parkins, Xiaoli Pang, Bonita E. Lee

Abstract Wastewater monitoring of SARS-CoV-2 allows for early detection and monitoring of COVID-19 burden in communities and can track specific variants of concern. Targeted assays enabled relative proportions of SARS-CoV-2 Omicron and Delta variants to be determined across 30 municipalities covering >75% of the province of Alberta (pop. 4.5M) in Canada, from November 2021 to January 2022. Larger cities like Calgary and Edmonton exhibited a more rapid emergence of Omicron relative to smaller and more remote municipalities. Notable exceptions were Banff, a small international resort town, and Fort McMurray, a more remote northern city with a large fly-in worker population. The integrated wastewater signal revealed that the Omicron variant represented close to 100% of SARS-CoV-2 burden prior to the observed increase in newly diagnosed clinical cases throughout Alberta, which peaked two weeks later. These findings demonstrate that wastewater monitoring offers early and reliable population-level results for establishing the extent and spread of emerging pathogens including SARS-CoV-2 variants.

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Tracking Emergence and Spread of SARS-CoV-2 Omicron Variant in Large and Small Communities by Wastewater Monitoring in Alberta, Canada
Casey R. J. Hubert, Nicole Acosta, Barbara Waddell, Maria E. Hasing, Yuanyuan Qiu, Meghan Fuzzen, Nathanael B.J. Harper, María Bautista, Tiejun Gao, Chloe Papparis, Jenn Van Doorn, Kristine Du, Kevin Xiang, Leslie Chan, Laura Vivas, Puja Pradhan, Janine McCalder, Kashtin Low, Whitney England, Darina Kuzma, John Conly, M. Cathryn Ryan, Gopal Achari, Jia Hu, Jason Cabaj, Chris Sikora, Larry Svenson, Nathan Zelyas, Mark R. Servos, Jon Meddings, Steve E. Hrudey, Kevin J. Frankowski, Michael D. Parkins, Xiaoli Pang, Bonita E. Lee
Emerging Infectious Diseases, Volume 28, Issue 9

Abstract Wastewater monitoring of SARS-CoV-2 enables early detection and monitoring of the COVID-19 disease burden in communities and can track specific variants of concern. We determined proportions of the Omicron and Delta variants across 30 municipalities covering >75% of the province of Alberta (population 4.5 million), Canada, during November 2021–January 2022. Larger cities Calgary and Edmonton exhibited more rapid emergence of Omicron than did smaller and more remote municipalities. Notable exceptions were Banff, a small international resort town, and Fort McMurray, a medium-sized northern community that has many workers who fly in and out regularly. The integrated wastewater signal revealed that the Omicron variant represented close to 100% of SARS-CoV-2 burden by late December, before the peak in newly diagnosed clinical cases throughout Alberta in mid-January. These findings demonstrate that wastewater monitoring offers early and reliable population-level results for establishing the extent and spread of SARS-CoV-2 variants.

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Wastewater to clinical case (WC) ratio of COVID-19 identifies insufficient clinical testing, onset of new variants of concern and population immunity in urban communities
Patrick M. D’Aoust, Xin Tian, Syeda Tasneem Towhid, Amy Xiao, Élisabeth Mercier, Nada Hegazy, Jianjun Jia, Shungang Wan, Md Pervez Kabir, Wanting Fang, Meghan Fuzzen, Maria E. Hasing, Minqing Ivy Yang, Jianxian Sun, Julio Plaza‐Díaz, Zhihao Zhang, Aaron Cowan, Walaa Eid, Sean E. Stephenson, Mark R. Servos, Matthew J. Wade, Alex MacKenzie, Hui Peng, Elizabeth A. Edwards, Xiaoli Pang, Eric J. Alm, Tyson E. Graber, Robert Delatolla
Science of The Total Environment, Volume 853

Clinical testing has been the cornerstone of public health monitoring and infection control efforts in communities throughout the COVID-19 pandemic. With the anticipated reduction of clinical testing as the disease moves into an endemic state, SARS-CoV-2 wastewater surveillance (WWS) will have greater value as an important diagnostic tool. An in-depth analysis and understanding of the metrics derived from WWS is required to interpret and utilize WWS-acquired data effectively (McClary-Gutierrez et al., 2021; O'Keeffe, 2021). In this study, the SARS-CoV-2 wastewater signal to clinical cases (WC) ratio was investigated across seven cities in Canada over periods ranging from 8 to 21 months. This work demonstrates that significant increases in the WC ratio occurred when clinical testing eligibility was modified to appointment-only testing, identifying a period of insufficient clinical testing (resulting in a reduction to testing access and a reduction in the number of daily tests) in these communities, despite increases in the wastewater signal. Furthermore, the WC ratio decreased significantly in 6 of the 7 studied locations, serving as a potential signal of the emergence of the Alpha variant of concern (VOC) in a relatively non-immunized community (40-60 % allelic proportion), while a more muted decrease in the WC ratio signaled the emergence of the Delta VOC in a relatively well-immunized community (40-60 % allelic proportion). Finally, a significant decrease in the WC ratio signaled the emergence of the Omicron VOC, likely because of the variant's greater effectiveness at evading immunity, leading to a significant number of new reported clinical cases, even when community immunity was high. The WC ratio, used as an additional monitoring metric, could complement clinical case counts and wastewater signals as individual metrics in its potential ability to identify important epidemiological occurrences, adding value to WWS as a diagnostic technology during the COVID-19 pandemic and likely for future pandemics.