Evidence map›Paper›PMID 36196211›Full record

ArticleSN computer science2022

Accessibility of COVID-19 Websites of Asian Countries: An Evaluation Using Automated Tools.

Telcia Niom, Frank Lin

Open access · bronzeAbstract read
In one paragraph

Article in SN computer science, 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
4.7field-weighted citation impact, top 4% 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, 9 citations in OpenAlex.

  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 at 2 institutions in 2 countries.

Telcia NiomBhartiya Vidya Bhavan, JP, India.
Frank LinCalifornia State University, San Bernardino, CA USA.
Bharatiya Vidya Bhavan · INCalifornia State University, San Bernardino · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Web accessibility helps in making the websites accessible for all. There has been too much research on the accessibility of websites across different domains such as education, health, banking, route services, Government portals, literature, etc. In this research, we have tried to explore the much less investigated domain of the accessibility analysis of COVID-19 vaccine registration and information websites of Asian Countries. The analysis has been done based on WCAG 2.0 and 2.1 guidelines. The evaluation has been done using automated tools including Access Monitor and AChecker. The results indicate that only 62% of the websites have passed the accessibility score. We have also identified common errors in these websites and have given recommendations for improvement.

Indexed as

Accessibility analysisCOVID-19WCAGWebsite accessibilityWebsite design

Identifiers

PMID36196211
PMCPMC9521853
OpenAlexW4297963713

What OpenQuestion holds

Textmetadata
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.