Evidence mapPaperPMID 41100747Full record

ArticleJournal of medical Internet research2025

Bridging the Infodemic Equity Gap: North-South Digital Health Disparities and a Framework for Action.

Augustus Osborne

Abstract read
In one paragraph

Article in Journal of medical Internet research, 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

1 author.

Augustus OsborneInstitute for Development, 11 Heneson Street, Western Area, Freetown, 232, Sierra Leone, 232 79196837.ORCID http://orcid.org/0000-0002-0226-841X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlabelled: Rapidly propagating false and misleading health claims do not strike all societies evenly. Structural digital inequalities, uneven platform governance leverage, gaps in multilingual health literacy, and divergent political information climates have combined to produce what is argued here as an infodemic equity gap: a patterned disparity in exposure to, resilience against, and recoverability from health misinformation between and within countries. This viewpoint advances a pragmatic equity-centered framework that dissects that gap into layered capacities (structural infrastructure, ecosystem governance, sociocultural trust and literacy, and adaptive intervention capability) and shows how their interaction generates differential outcomes. Using a purposive comparative lens across 5 archetypal settings (Finland, Taiwan, the United States, Brazil, and India), it shows distinct causal pathways linking technological architectures, governance choices, and social context to measurable process metrics (detection latency, rumor half-life, and multilingual coverage) and outcome indicators (trust trajectories, vaccination differentials, and equity-sensitive gaps). Rather than revisiting broad definitional terrain already synthesized elsewhere, the focus is on isolating disparities that are specifically actionable through digital health policy, measurement standardization, and investment strategies. A forward agenda is outlined for harmonized indicators, evaluation methods, and ethical safeguards needed to reduce inequities in future health emergency information ecologies. The intended audiences are digital health researchers, platform governance teams, public health decision-makers, and funding bodies shaping cross-border preparedness.

Indexed as

Health EquityHealth InequitiesBrazilHealth LiteracyHumansIndiaTaiwanUnited Statesdigital health equityhealth misinformationinfodemicplatform governancepublic health preparedness

Identifiers

PMID41100747
PMCPMC12530643

What Socratic holds

Textmetadata
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 Socratic graph.