Evidence map›Paper›PMID 36338457›Full record

ArticleJournal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada2021

Proposed framework for a national set of reporting measures in Canada in response to the COVID-19 pandemic.

Mona Khalid, Edgar Akuffo-Addo, Andrew M Morris, Dominik Mertz, Adam S Komorowski

Abstract read
In one paragraph

Article in Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Mona KhalidUndergraduate Medical Education, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Edgar Akuffo-AddoUndergraduate Medical Education, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Andrew M MorrisDivision of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Dominik MertzDivision of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada.
Adam S KomorowskiDivision of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An effective strategy to control the ongoing coronavirus disease 2019 (COVID-19) pandemic takes into account inputs from many domains, including community epidemiology, surveillance and testing, contact tracing capacity, support for vulnerable populations, and health care system strain. Provincial and federal governments currently lack a universal approach to presenting relevant pandemic data from these domains to the general public in a way that engages them in decision making and promotes adherence to policies. We propose a framework to analyze COVID-19 pandemic data on an ongoing basis using inputs from these five domains, which can be scaled to the local public health unit, provincial, or national level. Data analysis was qualitative and semi-quantitative because there was a paucity of publicly available data on surveillance and testing, contact tracing, and health care system strain, which limited our ability to perform internal and external validation of our model. We urge the federal government to mandate a core set of reporting items across local, provincial, and federal jurisdictions that may then be used to perform validation and implementation of our proposed framework.

Indexed as

COVID-19epidemiologyhealth policypublic health policyrespiratory tract infectionsrespiratory virusesSARS-CoV-2surveillancevaccine-preventable diseasesviral infections

Identifiers

PMID36338457
PMCPMC9629254

What OpenQuestion holds

Textmetadata
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.