ArticleFrontiers in public health2025
Global Health Trade Summit: an AI-enhanced simulation of international trade and global health for undergraduate public health education.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
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Who cites it
3 citing papers in PubMed.
- Gamification in health education: a mini-review of engagement strategies for the smartphone generation.Frontiers in public health · 2026Review
- Artificial intelligence in public health education: current evidence, competencies, and a framework for responsible integration.Frontiers in public health · 2026Review
- Comprehensive evaluation of preventive medicine talent in Chinese medical vocational colleges based on the entropy weight method.Frontiers in medicine · 2026Article
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
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The Global Health Trade Summit is an undergraduate classroom activity designed to help students understand the role of international trade in addressing population health needs, especially given recent news about trade disruptions, health inequities, and access challenges. This economic simulation incorporates experiential learning and a constructivist pedagogical style, best practices in undergraduate public health pedagogy. Methods: This card game activity, designed with the assistance of artificial intelligence tools OpenAI ChatGPT and Adobe Firefly, involved gathering historical news and economic data, resource allocation, outcome simulation, and image generation. It aligns with objectives outlined in the guidelines for public health education set forth by CEPH, ASPPH, and CUGH. Pilot testing of the activity was facilitated by an instructor and teaching assistant with 39 students in an introductory global health course. Results: Students fully participated and remained engaged throughout the pilot activity, which closely mirrored resource management and trading mechanics prevalent in popular board and card games. The pandemic context resonated with them, enhancing their comprehension of international trade and its associated macroeconomic concepts, such as international aid, supply chain disruptions, and resource distribution challenges. Students reported enjoying the activity and provided valuable suggestions for enhancing the simulation's effectiveness. Discussion: The success of the pilot activity underscores the value of engaging economic games in public health instruction. These activities are facilitated or enhanced through the utilization of readily available artificial intelligence tools for education. Recommendations for other instructors are also provided, along with opportunities for research.
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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.