Domain-Specific Applications of Virtual Reality in Public Health Training: Enhancing Skills, Knowledge and Engagement.
Virtual reality (VR) is revolutionizing public health training by providing immersive, interactive, and experiential learning across various specialized domains. Traditional training methods often lack realism and fail to fully prepare professionals for complex health challenges. VR offers a solutio...
| Publicado en: | Proceedings of International Conference on Humanities, Social & Education Sciences Vol. 6; no. 1; pp. 89 - 100 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Proceedings of International Conference on Humanities, Social & Education Sciences
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=195963881&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 195963881 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 28326865 NMVJ jtl: Proceedings of International Conference on Humanities, Social & Education Sciences issn: 28326865 maglogo: N pubinfo: dt: 2025 vid: 6 iid: 1 pid: 82546 pub: Proceedings of International Conference on Humanities, Social & Education Sciences artinfo: ui: 195963881 ppf: 89 ppct: 11 formats: tig: atl: Domain-Specific Applications of Virtual Reality in Public Health Training: Enhancing Skills, Knowledge and Engagement. aug: au: Ojieh, Amaka Ojajuni, Opeyemi Warren, Brian Street, Deidre Stubblefield, Michael affil: Southern University and A&M Baton Rouge, United States. su: Virtual reality Public health education Environmental health Infection control Outcome-based education Mental health Epidemiology Maternal-child health services sug: subj: Virtual reality Public health education Environmental health Infection control Outcome-based education Mental health Epidemiology Maternal-child health services keyword: Environmental Health Simulation Epidemiology and Disease Control Public Health Training Virtual Reality (VR) ab: Virtual reality (VR) is revolutionizing public health training by providing immersive, interactive, and experiential learning across various specialized domains. Traditional training methods often lack realism and fail to fully prepare professionals for complex health challenges. VR offers a solution by simulating real-world scenarios in epidemiology, infectious disease control, mental health, environmental health, and maternal and child healthcare, enhancing decision-making, skills development, and competency. This study employs a literature review methodology, analyzing current applications of VR in public health training, its effectiveness compared to conventional methods, and existing challenges. Various case studies and empirical research were reviewed to evaluate VR’s impact on learning outcomes, engagement levels, and preparedness in different public health domains. Key metrics such as knowledge retention, skill acquisition, and user experience were examined to assess VR's effectiveness. Findings indicate that VR-based training significantly improves learning retention, enhances problem-solving skills, and provides a safe environment for practicing complex procedures. Additionally, it fosters deeper engagement, allowing trainees to experience high-stress scenarios without real-world risks. However, barriers such as cost, accessibility, and ethical concerns remain significant challenges to widespread adoption. The implications suggest that VR has the potential to standardize and scale public health education, particularly in resource-limited settings, by offering cost-effective and repeatable training experiences. Future directions should focus on integrating artificial intelligence for adaptive learning, expanding VR applications in telemedicine, and developing policies for ethical and equitable implementation. As technology advances, VR is expected to become a fundamental component of public health workforce training and capacity building. pubtype: Conference Proceedings doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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