Responding to Global Learning Needs during a Pandemic
An Analysis of the Trends in Platform Use and Incidence of Covid-19
Bibliographic Data
| ID | 22045849 |
|---|---|
| Authors | Heini Utunen (0000-0002-0509-5067, World Health Organization, corresponding author), Richelle George (0000-0002-7269-4668, World Health Organization), Ngouille Ndiaye (0000-0002-6051-9483, World Health Organization), Melissa Attias (0000-0002-4129-8099, World Health Organization), Corentin Piroux (0000-0002-1777-9984, World Health Organization), Gaya Gamhewage (0000-0003-2536-9173, World Health Organization) |
| Year | 2020 |
| Volume | 10 |
| Issue | 11 |
| Pages | 345 |
| Publication date | 2020-11-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci10110345 |
| OpenAlex | W3108394318 |
| Language | EN |
| Citations received | 3 |
| References cited | 21 |
On 11 March 2020, the World Health Organization (WHO) declared the outbreak of coronavirus disease (COVID-19) to be a pandemic. As a result, the OpenWHO.org online platform, which serves as WHO’s learning hub for emergencies, was tested for the first time on its core purpose of scaling up trusted public health information in a global emergency. This descriptive study examines and documents the WHO learning response in the early months of the pandemic by comparing epidemiological information and OpenWHO.org use in the countries with the highest COVID-19 cases. Statistical datasets from OpenWHO.org and WHO’s COVID-19 dashboard were overlaid for the period 11 March–22 May 2020. During this period, for most of the 24 countries with the highest COVID-19 cases, platform use showed a corresponding trend. Courses published in the official languages spoken in these countries were well utilized, indicating a need to produce materials in languages spoken by affected communities. Of the countries with the highest number of users on OpenWHO, only half were top users of the platform before the pandemic. The existence of an established online platform for health emergencies assisted WHO in massively and quickly scaling up the dissemination of essential learning materials for COVID-19
Dashboard · Data science · Disease · Geography · Global health · Pandemic · Public health · Computer Science · COVID-19 diagnosis using AI · E-Learning and Knowledge Management · Medicine · Nursing · Online Learning and Analytics
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,6 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |