Evidence map›Paper›PMID 33852410›Full record

ArticleJMIR public health and surveillance2021

SARS-CoV-2 Surveillance System in Canada: Longitudinal Trend Analysis.

Lori Post, Michael J Boctor, Tariq Z Issa, Charles B Moss, Robert Leo Murphy, Chad J Achenbach, Michael G Ison, Danielle Resnick, Lauren Singh, Janine White and 2 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Lori PostBuehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-6261-3254
Michael J BoctorFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-9268-8417
Tariq Z IssaFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-0978-5225
Charles B MossInstitute of Food and Agricultural Sciences, University of Florida, Gainsville, FL, United States.ORCID 0000-0002-1172-7112
Robert Leo MurphyInstitute of Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-3936-2052
Chad J AchenbachDivison of Infectious Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-4847-7249
Michael G IsonDivison of Infectious Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-3347-9671
Danielle ResnickInternational Food Policy Research Institute, Washington, DC, United States.ORCID 0000-0001-6285-3461
Lauren SinghBuehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0001-7025-9614
Janine WhiteBuehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-7204-477X
Sarah B WelchBuehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0001-5609-3718
James F OehmkeBuehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-2003-3443

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 global pandemic has disrupted structures and communities across the globe. Numerous regions of the world have had varying responses in their attempts to contain the spread of the virus. Factors such as public health policies, governance, and sociopolitical climate have led to differential levels of success at controlling the spread of SARS-CoV-2. Ultimately, a more advanced surveillance metric for COVID-19 transmission is necessary to help government systems and national leaders understand which responses have been effective and gauge where outbreaks occur.

objectiveThe goal of this study is to provide advanced COVID-19 surveillance metrics for Canada at the country, province, and territory level that account for shifts in the pandemic including speed, acceleration, jerk, and persistence. Enhanced surveillance identifies risks for explosive growth and regions that have controlled outbreaks successfully.

methodsUsing a longitudinal trend analysis study design, we extracted 62 days of COVID-19 data from Canadian public health registries for 13 provinces and territories. We used an empirical difference equation to measure the daily number of cases in Canada as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R.

resultsWe compare the week of February 7-13, 2021, with the week of February 14-20, 2021. Canada, as a whole, had a decrease in speed from 8.4 daily new cases per 100,000 population to 7.5 daily new cases per 100,000 population. The persistence of new cases during the week of February 14-20 reported 7.5 cases that are a result of COVID-19 transmissions 7 days earlier. The two most populous provinces of Ontario and Quebec both experienced decreases in speed from 7.9 and 11.5 daily new cases per 100,000 population for the week of February 7-13 to speeds of 6.9 and 9.3 for the week of February 14-20, respectively. Nunavut experienced a significant increase in speed during this time, from 3.3 daily new cases per 100,000 population to 10.9 daily new cases per 100,000 population.

conclusionsCanada excelled at COVID-19 control early on in the pandemic, especially during the first COVID-19 shutdown. The second wave at the end of 2020 resulted in a resurgence of the outbreak, which has since been controlled. Enhanced surveillance identifies outbreaks and where there is the potential for explosive growth, which informs proactive health policy.

Indexed as

CanadaCOVID-19HumansLongitudinal StudiesPublic Health SurveillanceAlbertaBritish ColumbiaCanada Public Health SurveillanceCanada SARS-CoV-2Canadian COVID-19Canadian COVID-19 surveillance systemCanadian COVID transmission accelerationCanadian COVID transmission speedCanadian econometricsCOVID-19COVID-21COVID 7-day lagCOVID transmission decelerationCOVID transmission jerkdynamic panel datageneralized method of the momentsglobal COVID surveillanceGreat COVID ShutdownManitobaNew Brunswicknew COVID strainsNewfoundland and LabradorNorthwest TerritoriesNova ScotiaNunavutOntarioPrince Edward IslandQuebecSaskatchewansurveillance metricswave 2 Canada COVID-19Yukon

Identifiers

PMID33852410
PMCPMC8112542

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.