![]() | Up a level |
This 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.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
A 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.
Burnet, J.-B., Habash, M., Hachad, M., Khanafer, Z., Prévost, M., Servais, P., Sylvestre, É., & Dorner, S. (2021). Automated Targeted Sampling of Waterborne Pathogens and Microbial Source Tracking Markers Using Near-Real Time Monitoring of Microbiological Water Quality. Water, 13(15), 2069 (12 pages). Available
Hammes, F., Gabrielli, M., Cavallaro, A., Eichelberg, A., Barigelli, S., Bigler, M., Faucher, S. P., Füchslin, H. P., Gaia, V., Gómez-Valero, L., Grimard-Conea, M., Haas, C. N., Hamilton, K. A., Greenwald, H., Héchard, Y., Julian, T., Kieper, L., Lauper, U., Lefebvre, X., ... Waak, M. B. (2025). Foresight 2035: A perspective on the next decade of research on the management of Legionella spp. in engineered aquatic environments. FEMS Microbiology Reviews, 49. External link
Hachad, M., Burnet, J.-B., Sylvestre, É., Duy, S. V., Villemur, R., Sauvé, S., Prévost, M., Qiu, J., Pang, X., & Dorner, S. (2024). β-D-glucuronidase activity triggered monitoring of fecal contamination using microbial and chemical source tracking markers at drinking water intakes. Water Research, 254, 121374 (10 pages). Available
Sylvestre, É., Charron, D., Lefebvre, X., Bédard, É., & Prévost, M. (2025). Leveraging regulatory monitoring data for quantitative microbial risk assessment of Legionella pneumophila in cooling towers. Science of The Total Environment, 975, 179293 (13 pages). External link
Sylvestre, É., Dorner, S., Burnet, J.-B., Smeets, P., Medema, G., Cantin, P., Villion, M., Robert, C., Ellis, D., Servais, P., & Prévost, M. (2021). Changes in Escherichia coli to enteric protozoa ratios in rivers: Implications for risk-based assessment of drinking water treatment requirements. Water Research, 205, 10 pages. External link
Sylvestre, É., Prévost, M., Burnet, J.-B., Pang, X., Qiu, Y., Smeets, P., Medema, G., Hachad, M., & Dorner, S. (2021). Demonstrating the reduction of enteric viruses by drinking water treatment during snowmelt episodes in urban areas. Water Research X, 11. External link
Sylvestre, É., Burnet, J.-B., Dorner, S., Smeets, P., Medema, G., Villion, M., Hachad, M., & Prévost, M. (2021). Impact of Hydrometeorological Events for the Selection of Parametric Models for Protozoan Pathogens in Drinking-Water Sources. Risk Analysis, 41(8), 1413-1426. External link
Sylvestre, É., Prévost, M., Smeets, P., Medema, G., Burnet, J.-B., Cantin, P., Villion, M., Robert, C., & Dorner, S. (2021). Importance of Distributional Forms for the Assessment of Protozoan Pathogens Concentrations in Drinking-Water Sources. Risk Analysis, 41(8), 1396-1412. External link
Sylvestre, É., Prévost, M., Burnet, J.-B., Smeets, P., Medema, G., Hachad, M., & Dorner, S. (2021). Using surrogate data to assess risks associated with microbial peak events in source water at drinking water treatment plants. Water Research, 200, 10 pages. External link
Sylvestre, É. (2020). Systematic assessment of microbial risks associated with hydrometeorological events for drinking water safety management [Ph.D. thesis, Polytechnique Montréal]. Available
Sylvestre, É., Burnet, J.-B., Smeets, P., Medema, G., Prévost, M., & Dorner, S. (2020). Can routine monitoring of E. coli fully account for peak event concentrations at drinking water intakes in agricultural and urban rivers? Water Research, 170, 12 pages. External link
Taghipour, M., Sylvestre, É., Shakibaeinia, A., Tolouei, S., Kammoun, R., Prévost, M., & Dorner, S. (2025). Quantitative microbial risk assessment for drinking water intake threat prioritization: a comparison of vulnerability and threat assessment according to source water protection regulations of two Canadian provinces. Environmental Challenges, 101193. External link