AI Article Synopsis

  • * The manuscript details a dataset collected from January 2021 to March 2023, including RT-qPCR results from 107 sites, with data covering a significant portion of Ontario's population.
  • * This initiative has been vital for public health as it provides crucial information for monitoring disease trends, particularly during the rise of the Omicron variant, and emphasizes the importance of wastewater surveillance in understanding disease incidence.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11192951PMC
http://dx.doi.org/10.1038/s41597-024-03414-wDOI Listing

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