Evidence map›Paper›PMID 38483872›Full record

ArticleNew solutions : a journal of environmental and occupational health policy : NS2024

The Health and Safety Experiences of Precariously Employed Bangladeshi Immigrant Workers in Toronto During the COVID-19 Pandemic.

Stephanie Premji, Momtaz Begum, Kishower Laila, Sultana Jahangir, Adam Zvric

Open access · hybridAbstract read
In one paragraph

Article in New solutions : a journal of environmental and occupational health policy : NS, 2024. 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
0.6field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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 at 3 institutions in 1 country.

Stephanie PremjiSchool of Labour Studies, McMaster University, Hamilton, ON, Canada.ORCID 0000-0001-5861-4660
Momtaz BegumDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Kishower LailaSouth Asian Women and Immigrants' Services, Toronto, ON, Canada.
Sultana JahangirSouth Asian Women and Immigrants' Services, Toronto, ON, Canada.
Adam ZvricSchool of Labour Studies, McMaster University, Hamilton, ON, Canada.
McMaster University · CAWomen's College Hospital · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Racialized immigrants in Canada have been disproportionately impacted by the COVID-19 pandemic. Our qualitative, community-based study with South Asian Women and Immigrants' Services examined the impact of the second and third waves of the pandemic on the work and health of precariously employed Bangladeshi immigrant women and men in Toronto. Our study is based on interviews and focus group discussions with 45 workers, all conducted in Bangla, and 11 key informants. Interviews reveal work transitions, an increase in precarity, work in essential sectors, exposures at work, home and in transit, workplace prevention and management gaps, and an inability to take time off, with significant impacts on workers' physical and mental health. We discuss the implications of our findings for prevention, preparedness, and response by workplaces and governments to decrease the risk and reduce the impact of infectious diseases emergencies in the precarious work sector.

Indexed as

COVID-19Emigrants and ImmigrantsFemaleHumansMalePandemicsQualitative ResearchWorkplaceCOVID-19 pandemicimmigrationoccupational healthprecarious work

Identifiers

PMID38483872
PMCPMC11003198
OpenAlexW4392797994

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.