Integrating artificial intelligence into public health education and healthcare
Insights from the Covid-19 and monkeypox crises for future pandemic readiness
Bibliographic Data
| ID | 22164490 |
|---|---|
| Authors | Mustapha Abdelouahed (Boston University), Dana Yateem (Royal College of Surgeons in Ireland - Bahrain), Chadi Amzil (Loyola University Chicago), Ilyas Aribi (Scuola Cantonale di Commercio Bellinzona), El Hassan Abdelwahed (0000-0002-2786-6707, Cadi Ayyad University), Salim Fredericks (Royal College of Surgeons in Ireland - Bahrain, corresponding author) |
| Year | 2025 |
| Volume | 10 |
| Publication date | 2025-04-17 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Education (JOURNAL) |
| Journal identifiers | ISSN: 2504-284X • E-ISSN: 2504-284X |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/feduc.2025.1518909 |
| OpenAlex | W4409557311 |
| Language | EN |
| Citations received | 2 |
| References cited | 110 |
Higher education institutions are accustomed to sudden and abrupt jolts that provoke poor enrollments, unviable courses, unsustainable practices, budget cuts, and job losses. Such a situation arose with the worldwide education crisis of COVID-19 and the global mandate to shift to online teaching and learning. Policies and guidelines were based on available solutions, often implemented by leaders with limited experience in online education. As a result, the focus was on transitioning to online teaching rather than creating pragmatic policy changes. This article explores the practices in higher education institutions during the COVID-19 pandemic and investigates how the crisis affected teaching and learning across different countries. It also offers insights into the adaptations made during and after the pandemic, particularly within public health education, workforce training, and healthcare, along with actionable suggestions for integrating artificial intelligence (AI) and lessons learned from COVID-19 into these sectors. To highlight the potential benefits of AI in public health education, we discuss how AI-driven epidemiological modeling could play a crucial role in future outbreak preparedness, using the ongoing monkeypox virus (Mpox) outbreaks as a case study. As Mpox continues to emerge as a potential global health threat, the shift to remote learning during the COVID-19 pandemic has demonstrated the importance of preparing the educational system for future uncertainties, including new outbreaks. The pandemic has shown how disruptions can catalyze reforms in public health education, workforce training, and healthcare systems. Looking ahead, AI holds significant potential in transforming epidemic and pandemic preparedness by predicting outbreaks, understanding their trajectories, and even forecasting the individual impact of diseases by analyzing immune responses. Integrating AI into pandemic response frameworks could save lives and strengthen readiness for future health crises
2019-20 coronavirus outbreak · Biology · Disease · Economic growth · Economics · Health care · Monkeypox · Pandemic · Public health · Public healthcare · Artificial Intelligence in Healthcare and Education · Computer Science · COVID-19 diagnosis using AI · Medicine · Nursing · Viral Infections and Outbreaks Research · Virology
Medical Student Education in the Time of Covid-19
The experiences of health-care providers during the Covid-19 crisis in China
Managing mental health challenges faced by healthcare workers during covid-19 pandemic
Physical and Virtual Laboratories in Science and Engineering Education
Blended learning
University knowledge in an age of supercomplexity
Covid-19 mental health impact and responses in low-income and middle-income countries
Enhancing the Effectiveness of Work Groups and Teams
Prevalence of psychiatric morbidity and psychological adaptation of the nurses in a structured Sars caring unit during outbreak
Artificial intelligence in medical education
ChatGPT for good? On opportunities and challenges of large language models for education
Dissecting racial bias in an algorithm used to manage the health of populations
Lessons from a crisis—opportunities for lasting public health change from the Covid-19 pandemic
Artificial intelligence empowering public health education
Challenges Faced by Healthcare Professionals During the Covid-19 Pandemic
Effects of artificial Intelligence–Enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom
Global epidemiology, viral evolution, and public health responses
The ethics of AI in health care
Reimagining the new pedagogical possibilities for universities post-Covid-19
Countering misinformation
| Citations per year | 2 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |