LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 27

Search options

  1. Article: Online learning for WHO priority diseases with pandemic potential: evidence from existing courses and preparing for Disease X.

    Utunen, Heini / Tokar, Anna / Dancante, Mafalda / Piroux, Corentin

    Archives of public health = Archives belges de sante publique

    2023  Volume 81, Issue 1, Page(s) 61

    Abstract: Background: OpenWHO is the open-access learning platform of the World Health Organization (WHO) that provides online learning for health emergencies with essential health knowledge for emergencies. There is emphasis for courses on severe emerging ... ...

    Abstract Background: OpenWHO is the open-access learning platform of the World Health Organization (WHO) that provides online learning for health emergencies with essential health knowledge for emergencies. There is emphasis for courses on severe emerging diseases with epidemic and pandemic potential to help frontline health workers prevent, control and respond to infectious diseases. This research addresses the question of how the existing OpenWHO online courses on infectious disease were used in the countries of disease occurrence and how to prepare for disease X, a novel or unknown pathogen with pandemic potential.
    Methods: OpenWHO collects self-declared demographic data from learners among which there is data on geographical location of learners. Data in infectious disease courses use on OpenWHO was collected and examined and additionally information languages used in the outbreak locations was collected.
    Results: For most diseases in focus the online learning materials were used in countries with burden of disease. This suggests the learning material production needs to be targeted for outbreak and epidemic events.
    Conclusions: Findings inform the use of learning materials in disease outbreaks. Further, this use case data confirms learning providers need to add offerings in languages spoken in outbreak impacted areas.
    Language English
    Publishing date 2023-04-21
    Publishing country England
    Document type Letter
    ZDB-ID 1117688-x
    ISSN 2049-3258 ; 0778-7367 ; 0003-9578
    ISSN (online) 2049-3258
    ISSN 0778-7367 ; 0003-9578
    DOI 10.1186/s13690-023-01080-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article: Insights on Public Health Professionals Non-technical Skills in an Emergency Response (Multi-Team System) Environment.

    Black, Andrew / Brown, Olivia / Utunen, Heini / Gamhewage, Gaya / Gore, Julie

    Frontiers in psychology

    2022  Volume 13, Page(s) 827367

    Abstract: This paper provides practitioner and academic insights into the importance of examining non-technical skills in a multiteam system emergency response. The case of public health professionals is highlighted, illustrated with unique qualitative field data ... ...

    Abstract This paper provides practitioner and academic insights into the importance of examining non-technical skills in a multiteam system emergency response. The case of public health professionals is highlighted, illustrated with unique qualitative field data which focused upon the use of non-technical skills at a meso level of analysis. Results reflected the importance of context upon the multiteam system and highlighted seven non-technical skills used by public health professionals to support an effective response. Recommendations for future research and implications for practice are noted for this hard to access professional group, located within emerging advances in the scientific inquiry of complex and increasingly evident, multi-team systems.
    Language English
    Publishing date 2022-06-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.827367
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Scale Up Multilingualism in Health Emergency Learning: Developing an Automated Transcription and Translation Tool.

    Utunen, Heini / Staubitz, Thomas / George, Richelle / Zhao, Yu Ursula / Serth, Sebastian / Tokar, Anna

    Studies in health technology and informatics

    2023  Volume 302, Page(s) 408–412

    Abstract: World Health Organization's (WHO) emergency learning platform OpenWHO provided by Hasso Plattner Institut (HPI) delivered online learning in real-time and in multiple languages during the COVID-19 pandemic. The challenge was to move from manual ... ...

    Abstract World Health Organization's (WHO) emergency learning platform OpenWHO provided by Hasso Plattner Institut (HPI) delivered online learning in real-time and in multiple languages during the COVID-19 pandemic. The challenge was to move from manual transcription and translation to automated to increase the speed and quantity of materials and languages available. TransPipe tool was introduced to facilitate this task. We describe the TransPipe development, analyze its functioning and report key results achieved. TransPipe successfully connects existing services and provides a suitable workflow to create and maintain video subtitles in different languages. By the end of 2022, the tool transcribed nearly 4,700 minutes of video content and translated 1,050,700 characters of video subtitles. Automated transcription and translation have enormous potential as a public health learning tool, allowing the near-simultaneous availability of video subtitles on OpenWHO in many languages, thus improving the usability of the learning materials in multiple languages for wider audiences.
    MeSH term(s) Humans ; Multilingualism ; COVID-19 ; Pandemics ; Language ; Translating
    Language English
    Publishing date 2023-05-18
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230162
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Using Digital Tools to Train Health Emergencies Personnel in Fragile Contexts.

    Attias, Melissa / Utunen, Heini / Crowder, Ryan / Black, Andrew / Arabi, Elham / Litam, Katrina / Tokar, Anna

    Studies in health technology and informatics

    2023  Volume 305, Page(s) 28–31

    Abstract: The Leadership in Emergencies learning programme, launched in 2019, was designed to strengthen the competencies of World Health Organization (WHO) and Member State staff in teamwork, decision-making and communication, key skills required to lead ... ...

    Abstract The Leadership in Emergencies learning programme, launched in 2019, was designed to strengthen the competencies of World Health Organization (WHO) and Member State staff in teamwork, decision-making and communication, key skills required to lead effectively in emergencies. While the programme was initially used to train 43 staff in a workshop setting, the COVID-19 pandemic required a new remote approach. An online learning environment was developed using a variety of digital tools including WHO's open learning platform, OpenWHO.org. The strategic use of these technologies enabled WHO to dramatically expand access to the programme for personnel responding to health emergencies in fragile contexts and increase participation among key groups that were previously underserved.
    MeSH term(s) Humans ; COVID-19/epidemiology ; Emergencies ; Pandemics ; Health Personnel ; Communication
    Language English
    Publishing date 2023-06-29
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230415
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Digitalizing WHO's Health Emergency Leadership Training During the Pandemic.

    Black, Andrew / Utunen, Heini / Crowder, Ryan / Attias, Melissa / Portal, Sophie / Somers, Virginia / Tokar, Anna

    Studies in health technology and informatics

    2022  Volume 298, Page(s) 161–162

    Abstract: The WHO Health Emergencies Programme combined online tools with adult learning techniques to develop an innovative online leadership course. A combination of self-paced learning and online classes were used to deliver skills-based leadership training ... ...

    Abstract The WHO Health Emergencies Programme combined online tools with adult learning techniques to develop an innovative online leadership course. A combination of self-paced learning and online classes were used to deliver skills-based leadership training tailored to public health staff working in emergency response roles. Although using an online approach was considered a temporary solution to counter travel restrictions during the pandemic, the advantages have challenged preconceptions that effective learning, networking and peer exchange for leadership can only be achieved through face-to-face learning.
    MeSH term(s) Adult ; Humans ; Leadership ; Pandemics ; World Health Organization
    Language English
    Publishing date 2022-09-08
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI220929
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: Evaluating Complexity of Digital Learning in a Multilingual Context: A Cross-Linguistic Study on WHO's Emergency Learning Platform.

    Zhao, Yu / Samo, Giuseppe / Utunen, Heini / Stucke, Oliver / Gamhewage, Gaya

    Studies in health technology and informatics

    2021  Volume 281, Page(s) 516–517

    Abstract: Reproduction of knowledge, especially tacit knowledge can be expensive during a pandemic. One of the most common causes is the reduced information accessibility during the translation process. Having the ability to assess the linguistic complexity of any ...

    Abstract Reproduction of knowledge, especially tacit knowledge can be expensive during a pandemic. One of the most common causes is the reduced information accessibility during the translation process. Having the ability to assess the linguistic complexity of any given contents could potentially improve knowledge reproduction. Authors conduct two cross-linguistic studies on the World Health Organization (WHO)'s emergency learning platform to assess the linguistic complexity of two online courses in 10 languages. Morpho-syntactically annotated treebanks, unannotated materials from Wikipedia and language-specific corpora are set as control groups. Preliminary findings reveal a clear reduced complexity of learning contents in the most candidate languages while retaining the maximum amount of information. Creating a baseline study on low-resourced languages on the learning genre could be potentially useful for measuring impact of normative products at country and local level.
    MeSH term(s) Language ; Linguistics ; Multilingualism ; Pandemics ; World Health Organization
    Language English
    Publishing date 2021-05-27
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI210222
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: Could Linguistic Complexity Be Automatically Evaluated? A Multilingual Study on WHO's Emergency Learning Platform.

    Samo, Giuseppe / Zhao, Yu / Guasti, Maria Teresa / Utunen, Heini / Stucke, Oliver / Gamhewage, Gaya

    Studies in health technology and informatics

    2022  Volume 289, Page(s) 196–199

    Abstract: The ability of assessing any type of linguistic complexity of any given contents could potentially improve knowledge reproduction, especially tacit knowledge which can be expensive during a pandemic. In this paper, we develop a simple and crosslinguistic ...

    Abstract The ability of assessing any type of linguistic complexity of any given contents could potentially improve knowledge reproduction, especially tacit knowledge which can be expensive during a pandemic. In this paper, we develop a simple and crosslinguistic model of complexity which considers formal accounts on the study of linguistic systems, but can be easily implemented by non-linguists' groups, e.g., communication experts and policymakers. To test our model, we conduct a study on a corpus extracted from the World Health Organization (WHO)'s emergency learning platform in 6 languages. Data extracted from open-access encyclopaedic entries act as control groups. The results show that the measurements adopted signal a trend for a minimization of complexity and can be exploited as features for (automatic) text classification.
    MeSH term(s) Language ; Linguistics ; Multilingualism ; Pandemics ; World Health Organization
    Language English
    Publishing date 2022-02-08
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI210893
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Multilingual Approach to COVID-19 Online Learning Response on OpenWHO.org.

    Utunen, Heini / Ndiaye, Ngouille / Attias, Melissa / Mattar, Lama / Tokar, Anna / Gamhewage, Gaya

    Studies in health technology and informatics

    2022  Volume 289, Page(s) 192–195

    Abstract: In pursuit of equitable access to emergency-related knowledge, the World Health Organization (WHO) translates COVID-19 and other infectious disease courses into multiple languages on its open-access online learning platform OpenWHO.org. Languages spoken ... ...

    Abstract In pursuit of equitable access to emergency-related knowledge, the World Health Organization (WHO) translates COVID-19 and other infectious disease courses into multiple languages on its open-access online learning platform OpenWHO.org. Languages spoken by vulnerable or underserved populations in low- and middle-income countries and in outbreak-prone and affected areas are prioritized. Accessing learning in preferred languages enhances uptake and comprehension. In this study, we assess and compare the initial enrollment levels and global reach of these multilingual courses. On average, OpenWHO's 38 COVID-19 courses have each been translated into 4.8 languages. The platform hosts courses in 55 different languages with 10.4 million words translated. The findings identify which available languages were most utilized for COVID-19 learning to inform course production and outreach strategies. Languages were used differently across geographic regions, calling for localized learning offerings. A streamlined multilingual publishing scheme, ensuring quick and effective delivery of diverse languages, is critical to achieving greater equity of access to knowledge.
    MeSH term(s) COVID-19 ; Education, Distance ; Humans ; Multilingualism ; SARS-CoV-2 ; World Health Organization
    Language English
    Publishing date 2022-02-08
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI210892
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Superusers of Self-Paced Online Learning on OpenWHO.

    Utunen, Heini / Mattar, Lama / Piroux, Corentin / Ndiaye, Ngouille / Christen, Paula / Attias, Melissa

    Studies in health technology and informatics

    2022  Volume 295, Page(s) 16–19

    Abstract: Introduction: OpenWHO provides open-access, online, free and real-time learning responses to health emergencies, which includes capacitating healthcare providers, first liners, medical students and even the general public. During the pandemic and to ... ...

    Abstract Introduction: OpenWHO provides open-access, online, free and real-time learning responses to health emergencies, which includes capacitating healthcare providers, first liners, medical students and even the general public. During the pandemic and to date, an additional 40 courses for COVID-19 response have led to a massive increase in the number of learners and a change in user's trends. This paper presents initial findings on enrollment trends, use and completion rates of health emergency courses offered on OpenWHO.
    Methods: The enrolment data statistics were drawn from OpenWHO's built-in reporting system, which tracks learners' enrolments, completion rates, demographics and other key course-related data, This information was collected from the beginning of the OpenWHO launch in 2017 up until October 2021.
    Results: Average course completion rate on OpenWHO including all courses and languages was equal to 45.9%. Nearly half (46.4%) of all OpenWHO learners have enrolled in at least 2 courses and 71 000 superusers have completed at least 10 courses on the platform.
    Conclusion: WHO's learning platform during the pandemic registered record high completion rates and repeat learners enrollment. This highlights the massive impact of the OpenWHO online learning platform for health emergencies and the tangible knowledge transfer and access to health literacy.
    MeSH term(s) COVID-19/epidemiology ; Education, Distance ; Education, Medical/methods ; Education, Medical/trends ; Emergencies ; Health Literacy/trends ; Health Personnel/education ; Humans ; Knowledge ; Pandemics ; Students, Medical ; Transfer, Psychology ; World Health Organization
    Language English
    Publishing date 2022-07-01
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI220648
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article: Online capacity building for the health workforce: the case of the Integrated Disease Surveillance and Response for the African region.

    Bonkoungou, Boukare / Utunen, Heini / Talisuna, Ambrose Otau / O'Connell, Gillian / Koua, Etien / Chamla, Dick Damas / Arabi, Elham / Tokar, Anna / Gueye, Abdou Salam

    Journal of public health in Africa

    2024  Volume 14, Issue 12, Page(s) 2478

    Abstract: The World Health Organisation (WHO) Regional Office for Africa (AFRO) has developed a comprehensive capacity devel-opment programme to support the successful implementation of the Integrated Disease Surveillance and Response 3rd edition Technical ... ...

    Abstract The World Health Organisation (WHO) Regional Office for Africa (AFRO) has developed a comprehensive capacity devel-opment programme to support the successful implementation of the Integrated Disease Surveillance and Response 3rd edition Technical Guidelines (IDSR). As part of the learning program, a series of asyn-chronous online courses are offered on OpenWHO in English, French and Portuguese. This paper describes the use of five IDSR online courses and reports on feedback received from learners on Course 1 in the English series. An online learner survey was developed, and a descriptive analysis was conducted. This paper also reports on use related empirical metadata from the OpenWHO platform. Overall, learners (97%-n/N) of Course 1 IDSR English series indicated a positive perception toward their online learning experience because of the quality of course content, its organization, ease of use and relevance to their workplace needs. In addition, 88% (n/N) of learners reported that they had used their acquired knowledge at least sometimes and 54.4% (n/N) had shared their learning with others. Lastly, the quiz analyses showed an average of right answers of 78.97% for quiz 1 and 69.94% for quiz 2. Online learning is an essential component of a blended capacity development programme and provides cost effective, equitable and impactful learning. Learners who have a learning goal and find their needs met in courses tend to show more satisfaction and motivation to share their learning.
    Language English
    Publishing date 2024-03-01
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 2574977-8
    ISSN 2038-9930 ; 2038-9922
    ISSN (online) 2038-9930
    ISSN 2038-9922
    DOI 10.4081/jphia.2023.2478
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top