Evidence map›Paper›PMID 38066033›Full record

ArticleScientific data2023

Canadian Covid-19 pandemic public health mitigation measures at the province level.

Anna Akanteva, David W Dick, Shirin Amiraslani, Jane M Heffernan

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. 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

4 authors.

Anna AkantevaModelling Infection & Immunity Lab, Centre for Disease Modelling, Mathematics & Statistics, York University, 4700 Keele Street, Toronto, M3J 1P3, Ontario, Canada.
David W DickModelling Infection & Immunity Lab, Centre for Disease Modelling, Mathematics & Statistics, York University, 4700 Keele Street, Toronto, M3J 1P3, Ontario, Canada. dwdick@yorku.ca.ORCID 0000-0002-9129-8505
Shirin AmiraslaniModelling Infection & Immunity Lab, Centre for Disease Modelling, Mathematics & Statistics, York University, 4700 Keele Street, Toronto, M3J 1P3, Ontario, Canada.
Jane M HeffernanModelling Infection & Immunity Lab, Centre for Disease Modelling, Mathematics & Statistics, York University, 4700 Keele Street, Toronto, M3J 1P3, Ontario, Canada. jmheffer@yorku.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Covid-19 pandemic has prompted governments across the world to enforce a range of public health interventions. We introduce the Covid-19 Policy Response Canadian tracker (CPRCT) database that tracks and records implemented public health measures in every province and territory in Canada. The implementations are recorded on a four-level ordinal scale (0-3) for three domains, (Schools, Work, and Other), capturing differences in degree of response. The data-set allows the exploration of the effects of public health mitigation on the spread of Covid-19, as well as provides a near-real-time record in an accessible format that is useful for a diverse range of modeling and research questions.

Indexed as

COVID-19CanadaDatabases, FactualHumansPandemicsPublic Health

Identifiers

PMID38066033
PMCPMC10709578

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.