Evidence map›Paper›PMID 34417557›Full record

ArticleJournal of public health policy2021

Low-wage migrant workers during coronavirus disease 2019: a social determinants analysis.

Amarasinghe Arachchige Don Nalin Samandika Saparamadu, Albie Sharpe, Sun Kim, Bruna Ligia Ferreira Almeida Barbosa, Adrian Pereira

Erratum issuedAbstract read
In one paragraph

Article in Journal of public health policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Amarasinghe Arachchige Don Nalin Samandika SaparamaduDoctor Anywhere Pte. Ltd., 30A Kallang Place, #11-06, Singapore, 339213, Singapore. samandika@icloud.com.ORCID http://orcid.org/0000-0001-7829-8642
Albie SharpeSchool of Public Health, The University of Technology, Sydney, 15 Broadway, Ultimo, NSW, 2007, Australia.
Sun KimHealth Policy Research Center, People's Health Institute, Sadangro 13-gil 36, 2nd floor, Dongjak-gu, Seoul, 07004, South Korea.
Bruna Ligia Ferreira Almeida BarbosaFederal University of Espirito Santo, Marechal Campos 1468, Vitoria, ES, Brazil.
Adrian PereiraNorth South Initiative, A-2-7 Pusat Perdagangan Seksyen 8, Jalan Sg Jernih 8/1, 46050, Petaling Jaya, Selangor, Malaysia.

Funding

National Research Foundation of Korea NRF-2017R1D1A1B03031898
6 · The paper itself

Abstract

The severe acute respiratory syndrome coronavirus 2 pandemic has had disproportionate effects on economically and socially marginalized people. We explore the effects on low-wage migrant workers (migrant workers) in three countries: Singapore, South Korea and Brazil, through the lens of the social determinants of health. Our analysis shows that governments missed key opportunities to mitigate pandemic risks for migrant workers. Government measures demonstrate potential for effective and sustainable policy reform, including universal and equitable access to healthcare, social safety nets and labour rights for migrant workers-key concerns of the Global Compact for Migration. A whole-of-society and a whole-of-government approach with Health in All Policies, and migrant worker frameworks developed by the World Health Organization could be instrumental. The current situation indicates a need to frame public health crisis responses and policies in ways that recognize social determinants as fundamental to health.

Indexed as

COVID-19Salaries and Fringe BenefitsSocial Determinants of HealthTransients and MigrantsBrazilHumansPolicyRepublic of KoreaSingaporeBrazilHealth policyLow-wage migrant workersSingaporeSocial determinants of healthSouth Korea

Identifiers

PMID34417557
PMCPMC8377334

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.