| Autor: |
D'Aoust, Patrick M., Hegazy, Nada, Ramsay, Nathan T., Yang, Minqing Ivy, Dhiyebi, Hadi A., Edwards, Elizabeth, Servos, Mark R., Ybazeta, Gustavo, Habash, Marc, Goodridge, Lawrence, Poon, Art, Arts, Eric, Brown, R. Stephen, Payne, Sarah Jane, Kirkwood, Andrea, Simmons, Denina, Desaulniers, Jean-Paul, Ormeci, Banu, Kyle, Christopher, Bulir, David |
| Předmět: |
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| Zdroj: |
Scientific Data; 6/21/2024, Vol. 11 Issue 1, p1-13, 13p |
| Abstrakt: |
During the COVID-19 pandemic, the Province of Ontario, Canada, launched a wastewater surveillance program to monitor SARS-CoV-2, inspired by the early work and successful forecasts of COVID-19 waves in the city of Ottawa, Ontario. This manuscript presents a dataset from January 1, 2021, to March 31, 2023, with RT-qPCR results for SARS-CoV-2 genes and PMMoV from 107 sites across all 34 public health units in Ontario, covering 72% of the province's and 26.2% of Canada's population. Sampling occurred 2–7 times weekly, including geographical coordinates, serviced populations, physico-chemical water characteristics, and flowrates. In doing so, this manuscript ensures data availability and metadata preservation to support future research and epidemic preparedness through detailed analyses and modeling. The dataset has been crucial for public health in tracking disease locally, especially with the rise of the Omicron variant and the decline in clinical testing, highlighting wastewater-based surveillance's role in estimating disease incidence in Ontario. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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Full text from SpringerLink