Evidence map›Paper›PMID 37745776›Full record

ArticleAnnals of global health2023

Interdependent Determinants of Health and Death? Examining the Linkages between Health Equity, Human Rights, and Democracy during COVID-19.

Lisa Forman, Carly Jackson

Abstract read
In one paragraph

Article in Annals of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

2 authors.

Lisa FormanDalla Lana School of Public Health, The University of Toronto, 155 College Street, Toronto, ON, Canada M5T 3M7, CA.ORCID 0000-0002-4200-9359
Carly JacksonDalla Lana School of Public Health, The University of Toronto, 155 College Street, Toronto, ON, Canada M5T 3M7, CA.ORCID 0000-0002-7116-9466

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic has been characterised by health inequities in differential rates of COVID-19-related morbidity and mortality and differential access to essential COVID-19-related health care interventions such as vaccines. Inequities through the pandemic have deeply illuminated the interdependence between health inequities, human rights, and democratic leadership and the imperative to delve more deeply into these key determinants of health, illness, and death. Methods: In this paper, we consider what COVID-19 suggests we should be learning about the relationships between democracy, human rights, and health equity. We first elaborate on the growing prominence of the framework and discourse of health equity. We turn to elaborate on a longer-standing trend of democratic backsliding and populist leadership during COVID-19. We consider human rights violations and domestic and global inequities that have characterised COVID-19 and COVID responses. Findings and conclusions: The pandemic has illustrated how rights-violating, negligent, and inequitable political leadership can deeply determine health outcomes. It has equally shown how democratic norms and institutions, including human rights and equity, offer discourse, standards, and tools that can be effectively used to challenge inequitable leadership on health. More fundamentally, it underscores how great the need is for approaches to public health emergencies rooted in human rights, equity, and good governance, including through a pandemic treaty in negotiation.

Indexed as

COVID-19Health EquityDemocracyHuman RightsHumansPandemicsCOVID-19democracyequityglobal healthhuman rights

Identifiers

PMID37745776
PMCPMC10516139

What OpenQuestion holds

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LicenceCC BY
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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.