Evidence map›Paper›PMID 41595831›Full record

ArticleInternational journal of environmental research and public health2025

Scope and Spatio-Temporal Patterns of Workplace Vaccination Mandates During the COVID-19 Pandemic.

Claus Rinner, Mariko Uda, Laurie Manwell

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. 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

3 authors.

Claus RinnerDepartment of Geography and Environmental Studies, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada.ORCID 0009-0003-3425-7808
Mariko UdaDepartment of Geography and Environmental Studies, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada.
Laurie ManwellFaculty of Science, Wilfrid Laurier University, Waterloo, ON N2L 3C5, Canada.

Funding

Government of Canada, New Frontiers in Research Fund NFRFR-2022-00305
6 · The paper itself

Abstract

The global response to the COVID-19 pandemic was characterized by a patchwork of government policies in countries around the world, many of which limited civil liberties in unprecedented ways. Here, our objective was to analyze the scope and spatio-temporal patterns of workplace vaccination mandates. Using daily policy data from the Oxford COVID-19 Government Response Tracker for 2021-2022, we developed a simple mandate intensity index representing the number of affected employment sectors and the duration of each mandate by country. These metrics suggest a largely inconsistent pandemic response. We found that less than one-third of the 185 countries included in the dataset implemented such "no jab, no job" policies. Even among groups of culturally and politically aligned countries, such as the core Anglosphere, policies varied greatly: between one (United Kingdom) and 10 (Australia) out of 12 employment sectors had vaccination mandates. The most frequently and longest mandated sectors included government officials and healthcare workers, two broad groups with different risk profiles. We discuss these discrepancies from a critical perspective, considering the limited evidence for the mandates' effectiveness along with their potential to cause harmful outcomes, and recommend careful cost-benefit analyses in the future.

Indexed as

COVID-19COVID-19 VaccinesVaccinationWorkplaceHumansMandatory VaccinationPandemicsSARS-CoV-2COVID-19 VaccinesCOVID-19employmentgovernment policiesoccupational healthpandemic responsevaccination mandatesworkplace safety

Identifiers

PMID41595831
PMCPMC12840989

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.