Evidence map›Paper›PMID 42267327›Full record

ArticleThe journal of climate change and health

From inaction to integration? Media coverage of climate-health policy approaches and solution target in global north-south countries.

Rabia Qusien

Abstract read
In one paragraph

Article in The journal of climate change and health. 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.

Rabia QusienRabia Qusien, postdoctoral associate, The Alliance for a Sustainable Future, The George Washington University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Climate change has become a major health concern worldwide, while the policy response to these challenges exists in silos. In democracies, the media have the power to influence the policy agenda by highlighting certain issues and they act as a key platform for debating the political, social, and health implications of climate change. This research reveals how policy discourse is communicated to the public, directly influencing the political feasibility and social acceptance of climate-health policy actions. Method: This research presents an analysis of media coverage of government approaches and solutions across the Global North (the United States and the United Kingdom) and the South (Pakistan and India). A quantitative content analysis of two newspapers from each country, from 2015 to 2024, was conducted to analyze the government's approach. Result: Media coverage of climate and health reveals that inaction prevails across all selected countries, while sustainable policy responses are less emphasized. Denial of the climate-health connection is more prevalent in the Global North, particularly in the United States. After 2019, media coverage showed a reactive response to the issue. Media in all countries focused on government-led initiatives to manage health issues caused by climate change (47.4 %). Even the media in the Global South missed the opportunity to highlight global cooperation for climate-health action. Conclusion: These findings suggest that a country-specific anticipatory approach for integrating climate and health considerations into policy and communication across regions is needed to mitigate the health impacts of climate change.

Indexed as

Climate and health communicationClimate changeGovernment policy responseInactionMedia coverageSustainable response

Identifiers

PMID42267327
PMCPMC13245528

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.