ArticleThe Journal of medical humanities2017
Visualizing Risk: Images, Risk and Fear in a Health Campaign.
Article in The Journal of medical humanities, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This essay considers the structure of risk in health campaign formation and design by examining an early 20th century federal campaign to reduce infant mortality. Health campaigns navigate the gap between study and practice, translating quantitative findings into prescriptive responses for individual consumers of the text. By focusing specifically on the visual rhetoric of risk, this campaign serves as a case study to examine how the public was taught to see and understand risk and preventive health at a critical point in the development of public health in the United States.
Indexed as
Identifiers
25735620What OpenQuestion holds
Registered trials
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.