ArticleInternational journal of environmental research and public health2020
Exploring WHO Communication during the COVID 19 Pandemic through the WHO Website Based on W3C Guidelines: Accessible for All?
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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
18 citing papers in PubMed.
- Mapping risk communication practices in public health emergencies: a scoping review and comparison with Italian regional pandemic plans.BMC public health · 2026Article
- Evaluating a Public Health Information Service According to Users' Socioeconomic Position and Health Status: Protocol for a Cross-Sectional Study.JMIR research protocols · 2023Article
- Effects of Visual Communication Design Accessibility (VCDA) Guidelines for Low Vision on Public and Open Government Health Data.Healthcare (Basel, Switzerland) · 2023Article
- How did South Africans with disabilities experience COVID-19? Results of an online survey.African journal of disability · 2023Article
- Disability inclusion in African health systems' responses during COVID-19: A scoping review.African journal of disability · 2023Article
- Impact of the COVID-19 pandemic on community-based brain injury associations across Canada: a cross-sectional survey study.Frontiers in public health · 2023Article
- Accessibility Analysis of Worldwide COVID-19-Related Information Portals.International journal of environmental research and public health · 2022Article
- Perceived accessibility, and adequacy of COVID-19 related information in Nigeria.Journal of public health in Africa · 2022Article
- COVID-19 Study on Scientific Articles in Health Communication: A Science Mapping Analysis in Web of Science.International journal of environmental research and public health · 2022Review
- Learning From a Massive Open Online COVID-19 Vaccination Training Experience: Survey Study.JMIR public health and surveillance · 2021Article
- PREparedness, REsponse and SySTemic transformation (PRE-RE-SyST): a model for disability-inclusive pandemic responses and systemic disparities reduction derived from a scoping review and thematic analysis.International journal for equity in health · 2021Article
- Health authorities' health risk communication with the public during pandemics: a rapid scoping review.BMC public health · 2021Article
- Lockdown-Related Disparities Experienced by People with Disabilities during the First Wave of the COVID-19 Pandemic: Scoping Review with Thematic Analysis.International journal of environmental research and public health · 2021Article
- One Year of Pandemic Learning Response: Benefits of Massive Online Delivery of the World Health Organization's Technical Guidance.JMIR public health and surveillance · 2021Article
- Health Risks and Consequences of a COVID-19 Infection for People with Disabilities: Scoping Review and Descriptive Thematic Analysis.International journal of environmental research and public health · 2021Article
- The Quality of Infectious Disease Hospital Websites in Poland in Light of the COVID-19 Pandemic.International journal of environmental research and public health · 2021Article
- A Scoping Review of Barriers and Facilitators Affecting the Lives of People With Disabilities During COVID-19.Frontiers in rehabilitation sciences · 2021Article
- Developing Machine Learning and Statistical Tools to Evaluate the Accessibility of Public Health Advice on Infectious Diseases among Vulnerable People.Computational intelligence and neuroscience · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Health crisis situations generate greater attention and dependence on reliable and truthful information from citizens, especially from those organisations that represent authority on the subject, such as the World Health Organization (WHO). In times of global pandemics such as COVID-19, the WHO message "health for all" takes on great communicative importance, especially from the point of view of the prevention of the disease and recommendations for action. Therefore, any communication must be understandable and accessible by all types of people, regardless of their technology, language, culture or disability (physical or mental), according to the World Wide Web Consortium (W3C), taking on special relevance for public health content. This study analysed whether the WHO is accessible in its digital version for all groups of citizens according to the widely accepted standards in the field of the Internet. The conclusion reached was that not all the information is accessible in accordance with the Web Content Accessibility Guidelines 2.1, which implies that there are groups that are, to some extent, left out, especially affecting the elderly. This study can contribute to the development of proposals and suggest ways in which to improve the accessibility of health content to groups especially vulnerable in this pandemic.
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What 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.