Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Canada: Longitudinal Trend Analysis
BackgroundThis study provides an update on the status of the COVID-19 pandemic in Canada, building upon our initial analysis conducted in 2020 by incorporating an additional 2 years of data. ObjectiveThis study aims to (1) summarize the status of the pandemic in C...
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JMIR Publications
2024-12-01
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| Series: | JMIR Public Health and Surveillance |
| Online Access: | https://publichealth.jmir.org/2024/1/e53218 |
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| author | Scott A Wu Alan G Soetikno Egon A Ozer Sarah B Welch Yingxuan Liu Robert J Havey Robert L Murphy Claudia Hawkins Maryann Mason Lori A Post Chad J Achenbach Alexander L Lundberg |
| author_facet | Scott A Wu Alan G Soetikno Egon A Ozer Sarah B Welch Yingxuan Liu Robert J Havey Robert L Murphy Claudia Hawkins Maryann Mason Lori A Post Chad J Achenbach Alexander L Lundberg |
| author_sort | Scott A Wu |
| collection | DOAJ |
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BackgroundThis study provides an update on the status of the COVID-19 pandemic in Canada, building upon our initial analysis conducted in 2020 by incorporating an additional 2 years of data.
ObjectiveThis study aims to (1) summarize the status of the pandemic in Canada when the World Health Organization (WHO) declared the end of the public health emergency for the COVID-19 pandemic on May 5, 2023; (2) use dynamic and genomic surveillance methods to describe the history of the pandemic in Canada and situate the window of the WHO declaration within the broader history; and (3) provide historical context for the course of the pandemic in Canada.
MethodsThis longitudinal study analyzed trends in traditional surveillance data and dynamic panel estimates for COVID-19 transmissions and deaths in Canada from June 2020 to May 2023. We also used sequenced SARS-CoV-2 variants from the Global Initiative on Sharing All Influenza Data (GISAID) to identify the appearance and duration of variants of concern. For these sequences, we used Nextclade nomenclature to collect clade designations and Pangolin nomenclature for lineage designations of SARS-CoV-2. We used 1-sided t tests of dynamic panel regression coefficients to measure the persistence of COVID-19 transmissions around the WHO declaration. Finally, we conducted a 1-sided t test for whether provincial and territorial weekly speed was greater than an outbreak threshold of 10. We ran the test iteratively with 6 months of data across the sample period.
ResultsCanada’s speed remained below the outbreak threshold for 8 months by the time of the WHO declaration ending the COVID-19 emergency of international concern. Acceleration and jerk were also low and stable. While the 1-day persistence coefficient remained statistically significant and positive (1.074; P<.001), the 7-day coefficient was negative and small in magnitude (–0.080; P=.02). Furthermore, shift parameters for either of the 2 most recent weeks around May 5, 2023, were negligible (0.003 and 0.018, respectively, with P values of .75 and .31), meaning the clustering effect of new COVID-19 cases had remained stable in the 2 weeks around the WHO declaration. From December 2021 onward, Omicron was the predominant variant of concern in sequenced viral samples. The rolling 1-sided t test of speed equal to 10 became entirely insignificant from mid-October 2022 onward.
ConclusionsWhile COVID-19 continues to circulate in Canada, the rate of transmission remained well below the threshold of an outbreak for 8 months ahead of the WHO declaration. Both standard and enhanced surveillance metrics confirm that the pandemic had largely ended in Canada by the time of the WHO declaration. These results can inform future public health interventions and strategies in Canada, as well as contribute to the global understanding of the trajectory of the COVID-19 pandemic. |
| format | Article |
| id | doaj-art-adc03d648e57468ab50db13ee64f85db |
| institution | Kabale University |
| issn | 2369-2960 |
| language | English |
| publishDate | 2024-12-01 |
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| series | JMIR Public Health and Surveillance |
| spelling | doaj-art-adc03d648e57468ab50db13ee64f85db2024-12-05T15:45:35ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602024-12-0110e5321810.2196/53218Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Canada: Longitudinal Trend AnalysisScott A Wuhttps://orcid.org/0000-0003-0440-1218Alan G Soetiknohttps://orcid.org/0000-0003-3404-1671Egon A Ozerhttps://orcid.org/0000-0002-7131-3691Sarah B Welchhttps://orcid.org/0000-0001-5609-3718Yingxuan Liuhttps://orcid.org/0000-0002-6697-0160Robert J Haveyhttps://orcid.org/0000-0002-7176-058XRobert L Murphyhttps://orcid.org/0000-0003-3936-2052Claudia Hawkinshttps://orcid.org/0000-0001-7228-6317Maryann Masonhttps://orcid.org/0000-0001-6524-1532Lori A Posthttps://orcid.org/0000-0002-6261-3254Chad J Achenbachhttps://orcid.org/0000-0003-4847-7249Alexander L Lundberghttps://orcid.org/0000-0002-9743-8441 BackgroundThis study provides an update on the status of the COVID-19 pandemic in Canada, building upon our initial analysis conducted in 2020 by incorporating an additional 2 years of data. ObjectiveThis study aims to (1) summarize the status of the pandemic in Canada when the World Health Organization (WHO) declared the end of the public health emergency for the COVID-19 pandemic on May 5, 2023; (2) use dynamic and genomic surveillance methods to describe the history of the pandemic in Canada and situate the window of the WHO declaration within the broader history; and (3) provide historical context for the course of the pandemic in Canada. MethodsThis longitudinal study analyzed trends in traditional surveillance data and dynamic panel estimates for COVID-19 transmissions and deaths in Canada from June 2020 to May 2023. We also used sequenced SARS-CoV-2 variants from the Global Initiative on Sharing All Influenza Data (GISAID) to identify the appearance and duration of variants of concern. For these sequences, we used Nextclade nomenclature to collect clade designations and Pangolin nomenclature for lineage designations of SARS-CoV-2. We used 1-sided t tests of dynamic panel regression coefficients to measure the persistence of COVID-19 transmissions around the WHO declaration. Finally, we conducted a 1-sided t test for whether provincial and territorial weekly speed was greater than an outbreak threshold of 10. We ran the test iteratively with 6 months of data across the sample period. ResultsCanada’s speed remained below the outbreak threshold for 8 months by the time of the WHO declaration ending the COVID-19 emergency of international concern. Acceleration and jerk were also low and stable. While the 1-day persistence coefficient remained statistically significant and positive (1.074; P<.001), the 7-day coefficient was negative and small in magnitude (–0.080; P=.02). Furthermore, shift parameters for either of the 2 most recent weeks around May 5, 2023, were negligible (0.003 and 0.018, respectively, with P values of .75 and .31), meaning the clustering effect of new COVID-19 cases had remained stable in the 2 weeks around the WHO declaration. From December 2021 onward, Omicron was the predominant variant of concern in sequenced viral samples. The rolling 1-sided t test of speed equal to 10 became entirely insignificant from mid-October 2022 onward. ConclusionsWhile COVID-19 continues to circulate in Canada, the rate of transmission remained well below the threshold of an outbreak for 8 months ahead of the WHO declaration. Both standard and enhanced surveillance metrics confirm that the pandemic had largely ended in Canada by the time of the WHO declaration. These results can inform future public health interventions and strategies in Canada, as well as contribute to the global understanding of the trajectory of the COVID-19 pandemic.https://publichealth.jmir.org/2024/1/e53218 |
| spellingShingle | Scott A Wu Alan G Soetikno Egon A Ozer Sarah B Welch Yingxuan Liu Robert J Havey Robert L Murphy Claudia Hawkins Maryann Mason Lori A Post Chad J Achenbach Alexander L Lundberg Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Canada: Longitudinal Trend Analysis JMIR Public Health and Surveillance |
| title | Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Canada: Longitudinal Trend Analysis |
| title_full | Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Canada: Longitudinal Trend Analysis |
| title_fullStr | Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Canada: Longitudinal Trend Analysis |
| title_full_unstemmed | Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Canada: Longitudinal Trend Analysis |
| title_short | Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Canada: Longitudinal Trend Analysis |
| title_sort | updated surveillance metrics and history of the covid 19 pandemic 2020 2023 in canada longitudinal trend analysis |
| url | https://publichealth.jmir.org/2024/1/e53218 |
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