Evidence map›Paper›PMID 35614429›Full record

ArticleBMC public health2022

Impact of non-pharmaceutical interventions and vaccination on COVID-19 outbreaks in Nunavut, Canada: a Canadian Immunization Research Network (CIRN) study.

Thomas N Vilches, Elaheh Abdollahi, Lauren E Cipriano, Margaret Haworth-Brockman, Yoav Keynan, Holden Sheffield, Joanne M Langley, Seyed M Moghadas

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Thomas N VilchesAgent-Based Modelling Laboratory, York University, Toronto, ON, Canada.
Elaheh AbdollahiAgent-Based Modelling Laboratory, York University, Toronto, ON, Canada.
Lauren E CiprianoIvey Business School and Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
Margaret Haworth-BrockmanRady Faculty of Health Sciences, National Collaborating Centre for Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada.
Yoav KeynanDepartment of Medical Microbiology, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada.
Holden SheffieldDepartment of Paediatrics, Qikiqtani General Hospital, Iqaluit, NT, Canada.
Joanne M LangleyCanadian Center for Vaccinology, IWK Health Centre, Nova Scotia Health Authority, Dalhousie University, Halifax, NS, Canada.
Seyed M MoghadasAgent-Based Modelling Laboratory, York University, Toronto, ON, Canada. moghadas@yorku.ca.
York University · CAUniversity of Manitoba · CAIzaak Walton Killam Health Centre · CAWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNunavut, the northernmost Arctic territory of Canada, experienced three community outbreaks of the coronavirus disease 2019 (COVID-19) from early November 2020 to mid-June 2021. We sought to investigate how non-pharmaceutical interventions (NPIs) and vaccination affected the course of these outbreaks.

methodsWe used an agent-based model of disease transmission to simulate COVID-19 outbreaks in Nunavut. The model encapsulated demographics and household structure of the population, the effect of NPIs, and daily number of vaccine doses administered. We fitted the model to inferred, back-calculated infections from incidence data reported from October 2020 to June 2021. We then compared the fit of the scenario based on case count data with several counterfactual scenarios without the effect of NPIs, without vaccination, and with a hypothetical accelerated vaccination program whereby 98% of the vaccine supply was administered to eligible individuals.

resultsWe found that, without a territory-wide lockdown during the first COVID-19 outbreak in November 2020, the peak of infections would have been 4.7 times higher with a total of 5,404 (95% CrI: 5,015-5,798) infections before the start of vaccination on January 6, 2021. Without effective NPIs, we estimated a total of 4,290 (95% CrI: 3,880-4,708) infections during the second outbreak under the pace of vaccination administered in Nunavut. In a hypothetical accelerated vaccine rollout, the total infections during the second Nunavut outbreak would have been 58% lower, to 1,812 (95% CrI: 1,593-2,039) infections. Vaccination was estimated to have the largest impact during the outbreak in April 2021, averting 15,196 (95% CrI: 14,798-15,591) infections if the disease had spread through Nunavut communities. Accelerated vaccination would have further reduced the total infections to 243 (95% CrI: 222-265) even in the absence of NPIs.

conclusionsNPIs have been essential in mitigating pandemic outbreaks in this large, geographically distanced and remote territory. While vaccination has the greatest impact to prevent infection and severe outcomes, public health implementation of NPIs play an essential role in the short term before attaining high levels of immunity in the population.

Indexed as

COVID-19VaccinesCanadaCommunicable Disease ControlCOVID-19 VaccinesDisease OutbreaksHumansNunavutSARS-CoV-2VaccinationCOVID-19 VaccinesVaccinesAgent-based simulationsCOVID-19Non-pharmaceutical interventionsSARS-CoV-2Vaccination

Identifiers

PMID35614429
PMCPMC9130454
OpenAlexW4281493348

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.