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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Ferreira Leal, H., Fortin, É., Dorner, S., Frigon, D., Quach, C., & Bédard, É. (2025). Influence of antimicrobial consumption (AMC) on the detection of antimicrobial resistance genes (ARGs) in urban wastewater. International Journal of Hygiene and Environmental Health, 268, 114621 (14 pages). External link
Frigon, D., Dorner, S., & Vanrolleghem, P. (2021). Épidémiologie par les eaux usées - Oubil novateur pour suivre la COVID-19. Vecteur Environnement, 54(1), 14-17. Unavailable
Jayme, G., Liu, J.-L., Gálvez, J. H., Reiling, S. J., Celikkol-Aydin, S., N’Guessan, A., Lee, S., Chen, S.-H., Tsitouras, A., Sánchez-Quete, F., Maere, T., Goitom, E., Hachad, M., Mercier, É., Loeb, S. K., Vanrolleghem, P. A., Dorner, S., Delatolla, R., Shapiro, B. J., ... Snutch, T. P. (2024). Combining Short- and Long-Read Sequencing Technologies to Identify SARS-CoV-2 Variants in Wastewater. Viruses, 16(9), 1495 (15 pages). Available
Nguyen, T. L., Hachad, M., McQuaid, N., Krylova, K., Nguyen, H. T. L., Visentin, F., Burnet, J.-B., Quete, F. S., Maere, T., Tsitouras, A., Vanrolleghem, P., Frigon, D., Loeb, S., Dorner, S., & Goitom, E. (2025). Hydrological and physicochemical parameters associated with SARS-CoV-2 and pepper mild mottle virus wastewater concentrations for a large-combined sewer system. Journal of Water and Health, 23(3), 413-427. Available
Sanchez-Quete, F., Chiang, L., Sequeira, F. C., Goitom, E., Tsitouras, A., Maere, T., Vanrolleghem, P. A., Dorner, S., Frigon, D., & Loeb, S. K. (2024). Suspended Solids and Optimal RNase Inhibitors Impact the Partitioning and Decay of SARS-CoV-2 in Wastewater. ACS ES&T Water, -. External link
Therrien, J.-D., Maere, T., Sánchez-Quete, F., Tsitouras, A., Goitom, E., Cloutier, F., Dufour, D., Proulx, F., Nicolaï, N., Philippe, R., Tohidi, M., Dorner, S., Frigon, D., & Vanrolleghem, P. A. (2021). SARS-CoV-2 wastewater surveillance data and metadata in the Open Data Model format. Part 1: Québec City [Dataset]. External link
