Yuan Pei, Aruffo Elena, Tan Yi, Yang Liu, Ogden Nicholas H, Fazil Aamir, Zhu Huaiping
Laboratory of Mathematical Parallel Systems (LAMPS), Centre for Diseases Modelling, Department of Mathematics and Statistics, York University, Toronto, ON, Canada.
Public Health Agency of Canada (PHAC), Ottawa, ON, Canada.
Infect Dis Model. 2022 Jun;7(2):83-93. doi: 10.1016/j.idm.2022.03.004. Epub 2022 Mar 30.
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.
2021年底,由于奥密克戎变种导致新冠病例迅速增加,加拿大的检测中心不堪重负。为缓解聚合酶链反应(PCR)检测能力的压力,许多省份实施了新策略,推广自我检测并调整PCR检测的资格标准,导致新增病例数报告不足。我们设计了一个新颖的分区模型,该模型涵盖了新的检测指南、社会行为、加强疫苗接种活动以及最新变种奥密克戎的特征。为了更好地描述检测资格,我们将人群分为高风险和非高风险环境。该模型使用2022年1月1日至2月9日加拿大、安大略省和多伦多市的病例及严重后果数据进行校准。我们分析了PCR检测能力、自我检测、不同程度的重新开放和疫苗接种覆盖率对病例及严重后果的影响。我们的结果表明,加拿大、安大略省和多伦多的病例总数分别比报告病例数多2.34倍(95%置信区间:1.22 - 3.38)、2.20倍(95%置信区间:1.15 - 3.72)和1.97倍(95%置信区间:1.13 - 3.41)。如果实施部分限制措施,如公共场所容量有限,当前的检测策略是有效的。允许更多人进行PCR检测可减少每日病例数和严重后果;然而,如果PCR检测能力不足,那么推广自我检测就很重要。此外,我们发现重新开放到疫情前的水平将导致感染卷土重来,在2022年3月下旬或4月达到峰值。疫苗接种和遵守隔离协议是检测政策的重要支持,以减轻病毒的任何可能传播。