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Projections of the transmission of the Omicron variant for Toronto, Ontario, and Canada using surveillance data following recent changes in testing policies.
Yuan, Pei; Aruffo, Elena; Tan, Yi; Yang, Liu; Ogden, Nicholas H; Fazil, Aamir; Zhu, Huaiping.
  • Yuan P; Laboratory of Mathematical Parallel Systems (LAMPS), Centre for Diseases Modelling, Department of Mathematics and Statistics, York University, Toronto, ON, Canada.
  • Aruffo E; Laboratory of Mathematical Parallel Systems (LAMPS), Centre for Diseases Modelling, Department of Mathematics and Statistics, York University, Toronto, ON, Canada.
  • Tan Y; Laboratory of Mathematical Parallel Systems (LAMPS), Centre for Diseases Modelling, Department of Mathematics and Statistics, York University, Toronto, ON, Canada.
  • Yang L; Laboratory of Mathematical Parallel Systems (LAMPS), Centre for Diseases Modelling, Department of Mathematics and Statistics, York University, Toronto, ON, Canada.
  • Ogden NH; Public Health Agency of Canada (PHAC), Ottawa, ON, Canada.
  • Fazil A; Public Health Agency of Canada (PHAC), Ottawa, ON, Canada.
  • Zhu H; Laboratory of Mathematical Parallel Systems (LAMPS), Centre for Diseases Modelling, Department of Mathematics and Statistics, York University, Toronto, ON, Canada.
Infect Dis Model ; 7(2): 83-93, 2022 Jun.
Article in English | MEDLINE | ID: covidwho-1763748
ABSTRACT
At the end of 2021, with the rapid escalation of COVID19 cases due to the Omicron variant, testing centers in Canada were overwhelmed. To alleviate the pressure on the PCR testing capacity, many provinces implemented new strategies that promote self testing and adjust the eligibility for PCR tests, making the count of new cases underreported. We designed a novel compartmental model which captures the new testing guidelines, social behaviours, booster vaccines campaign and features of the newest variant Omicron. To better describe the testing eligibility, we considered the population divided into high risk and non-high-risk settings. The model is calibrated using data from January 1 to February 9, 2022, on cases and severe outcomes in Canada, the province of Ontario and City of Toronto. We conduct analyses on the impact of PCR testing capacity, self testing, different levels of reopening and vaccination coverage on cases and severe outcomes. Our results show that the total number of cases in Canada, Ontario and Toronto are 2.34 (95%CI 1.22-3.38), 2.20 (95%CI 1.15-3.72), and 1.97(95%CI 1.13-3.41), times larger than reported cases, respectively. The current testing strategy is efficient if partial restrictions, such as limited capacity in public spaces, are implemented. Allowing more people to have access to PCR reduces the daily cases and severe outcomes; however, if PCR test capacity is insufficient, then it is important to promote self testing. Also, we found that reopening to a pre-pandemic level will lead to a resurgence of the infections, peaking in late March or April 2022. Vaccination and adherence to isolation protocols are important supports to the testing policies to mitigate any possible spread of the virus.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines / Variants Language: English Journal: Infect Dis Model Year: 2022 Document Type: Article Affiliation country: J.idm.2022.03.004

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines / Variants Language: English Journal: Infect Dis Model Year: 2022 Document Type: Article Affiliation country: J.idm.2022.03.004