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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Champredon, David Becker, Devan Peterson, Shelley W. Mejia, Edgard Hizon, Nikho Schertzer, Andrea Djebli, Mohamed Oloye, Femi F. Xie, Yuwei Asadi, Mohsen Cantin, Jenna Pu, Xia Osunla, Charles A. Brinkmann, Markus McPhedran, Kerry N. Servos, Mark R. Giesy, John P. Mangat, Chand |
| Abstract | Background The spread of SARS-CoV-2 has been studied at unprecedented levels worldwide. In jurisdictions where molecular analysis was performed on large scales, the emergence and competition of numerous SARS-CoV-2lineages have been observed in near real-time. Lineage identification, traditionally performed from clinical samples, can also be determined by sampling wastewater from sewersheds serving populations of interest. Variants of concern (VOCs) and SARS-CoV-2 lineages associated with increased transmissibility and/or severity are of particular interest. Method Here, we consider clinical and wastewater data sources to assess the emergence and spread of VOCs in Canada retrospectively. Results We show that, overall, wastewater-based VOC identification provides similar insights to the surveillance based on clinical samples. Based on clinical data, we observed synchrony in VOC introduction as well as similar emergence speeds across most Canadian provinces despite the large geographical size of the country and differences in provincial public health measures. Conclusion In particular, it took approximately four months for VOC Alpha and Delta to contribute to half of the incidence. In contrast, VOC Omicron achieved the same contribution in less than one month. This study provides significant benchmarks to enhance planning for future VOCs, and to some extent for future pandemics caused by other pathogens, by quantifying the rate of SARS-CoV-2 VOCs invasion in Canada. |
| Related Links | https://bmcinfectdis.biomedcentral.com/counter/pdf/10.1186/s12879-024-08997-8.pdf |
| Ending Page | 11 |
| Page Count | 11 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712334 |
| DOI | 10.1186/s12879-024-08997-8 |
| Journal | BMC Infectious Diseases |
| Issue Number | 1 |
| Volume Number | 24 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-01-29 |
| Access Restriction | Open |
| Subject Keyword | Infectious Diseases Parasitology Medical Microbiology Tropical Medicine Internal Medicine SARS-CoV-2lineages Molecular analysis Lineage identification Variant of concern Clinical samples: Omicron Wastewater-based epidemiology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Infectious Diseases |
| Journal Impact Factor | 3.4/2023 |
| 5-Year Journal Impact Factor | 3.3/2023 |
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