Wastewater-based epidemiology
The crucial role of viral shedding dynamics in small communities
Bibliographic Data
| ID | 22072873 |
|---|---|
| Authors | Marc-Denis Rioux (0000-0001-9439-7464, Université du Québec à Rimouski, corresponding author), François Guillemette (0000-0003-2333-8410, Université du Québec à Trois-Rivières), Karine Lemarchand (Université du Québec à Rimouski), Kim Doiron (0000-0003-0781-8174), Jean-François Lemay (0000-0002-7443-6734), Thomas Maere (0000-0003-2885-0421, Université Laval), Patrick Dolcé (Centre Intégré de Santé et de Services Sociaux du Bas-Saint-Laurent), Patrik Quessy, Nanouk Abonnenc, Peter A Vanrolleghem (0000-0003-1695-1313, Université Laval), Dominic Frigon (0000-0003-1587-8943, McGill University) |
| Year | 2023 |
| Volume | 11 |
| Pages | 1141837-1141837 |
| Publication date | 2023-08-02 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2023.1141837 |
| PMID | 37601171 |
| OpenAlex | W4385491437 |
| Language | EN |
| References cited | 19 |
Background: Wastewater surveillance (WWS) of pathogens is a rapidly evolving field owing to the 2019 coronavirus disease pandemic, which brought about a paradigm shift in public health authorities for the management of pathogen outbreaks. However, the interpretation of WWS in terms of clinical cases remains a challenge, particularly in small communities where large variations in pathogen concentrations are routinely observed without a clear relation to clinical incident cases. Methods: Results are presented for WWS from six municipalities in the eastern part of Canada during the spring of 2021. We developed a numerical model based on viral kinetics reduction functions to consider both prevalent and incident cases to interpret the WWS data in light of the reported clinical cases in the six surveyed communities. Results: The use of the proposed numerical model with a viral kinetics reduction function drastically increased the interpretability of the WWS data in terms of the clinical cases reported for the surveyed community. In line with our working hypothesis, the effects of viral kinetics reduction modeling were more important in small communities than in larger communities. In all but one of the community cases (where it had no effect), the use of the proposed numerical model led to a change from a +1.5% (for the larger urban center, Quebec City) to a +48.8% increase in the case of a smaller community (Drummondville). Conclusion: Consideration of prevalent and incident cases through the proposed numerical model increases the correlation between clinical cases and WWS data. This is particularly the case in small communities. Because the proposed model is based on a biological mechanism, we believe it is an inherent part of any wastewater system and, hence, that it should be used in any WWS analysis where the aim is to relate WWS measurement to clinical cases
Environmental health · Geography · Interpretability · Outbreak · Child Nutrition and Water Access · Computer Science · Fecal contamination and water quality · Medicine · SARS-CoV-2 detection and testing · Virology
| Highly cited | No |
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