Working with Data in Adult English Classrooms: Lessons Learned about Communicative Justice during the COVID-19 Pandemic.

Margaret A Handley, Maricel G Santos, María José Bastías

Open access · goldAbstract read

In one paragraph

Article in International journal of environmental research and public health, 2022. 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

1.6field-weighted citation impact, top 15% of its field

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, 5 citations in OpenAlex.

Community engagement in the development of health-related data visualizations: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024
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

3 authors at 2 institutions in 1 country.

Margaret A HandleyDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0001-5034-2111

Maricel G SantosDepartment of English, San Francisco State University, San Francisco, CA 94132, USA.ORCID 0000-0002-1110-0512

María José BastíasDepartment of English, San Francisco State University, San Francisco, CA 94132, USA.

San Francisco State University · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Throughout COVID-19, health officials have relied on data visualizations to communicate urgent messages about the spread of the virus and preventative measures. Relatively few efforts have employed participatory engagement with communities who have experienced a disproportionate burden of COVID-19 illness to shape these communications. Sociologist W.E.B. Du Bois viewed data visualization as an approach to

Indexed as

COVID-19PandemicsAdultCommunity ParticipationHumansLanguageStakeholder Participationcommunicative justicecommunity-based participatory researchCOVID-19data literacydata visualizationEnglish as a Second Language (ESL)health communicationlearner leadership

Identifiers

PMID36613016

DOI10.3390/ijerph20010696

PMCPMC9819351

OpenAlexW4313473230

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.