Evaluation of an Artificial Intelligence-Generated Health Communication Material on Bird Flu Precautions
by
, , , and
Ayokunle A. Olagoke
1,*,†
,
Comfort Tosin Adebayo
2,
Joseph Ayotunde Aderonmu
3,
Emmanuel A. Adeaga
4 and
Kimberly J. Johnson
5 1
Department of Population Health, University of Kansas School of Medicine-Wichita, Wichita, KS 67214, USA
2
Department of Communication Studies, Towson University, Towson, MD 21252, USA
3
Department of Biomechanics, University of Nebraska, Omaha, NE 68182, USA
4
Department of Veterinary Public Health and Preventive Medicine, University of Ibadan, Ibadan 200005, Nigeria
5
Brown School, Washington University, St. Louis, MO 63110, USA
*
Author to whom correspondence should be addressed.
†
This work was conducted while the author was at the University of Nebraska, Omaha, NE 68182, USA.
Zoonotic Dis. 2025, 5(3), 22; https://doi.org/10.3390/zoonoticdis5030022
Submission received: 2 May 2025
/
Revised: 14 July 2025
/
Accepted: 18 July 2025
/
Published: 1 August 2025
Simple Summary
Public health crises necessitate the rapid dissemination of health communication materials to mitigate public confusion and misinformation. Here, we applied artificial intelligence (AI) to accelerate the development of a health communication material on bird flu precautions in response to the 2025 bird flu outbreak in the United States. We surveyed 100 United States adults to assess the effectiveness of a health communication material created with ChatGPT, Leonardo.AI, and Canva for text, illustration, and design, respectively. Our findings show a positive perception of the AI-generated health communication material, with a 77% effectiveness rating. This evidence suggests that AI-generated health communication materials may provide rapid and efficient tools for health communication during disease outbreaks.
Abstract
The 2025 avian influenza A(H5N1) outbreak has highlighted the urgent need for rapidly generated health communication materials during public health emergencies. Artificial intelligence (AI) systems offer transformative potential to accelerate content development pipelines while maintaining scientific accuracy and impact. We evaluated an AI-generated health communication material on bird flu precautions among 100 U.S. adults. The material was developed using ChatGPT for text generation based on CDC guidelines and Leonardo.AI for illustrations. Participants rated perceived message effectiveness, quality, realism, relevance, attractiveness, and visual informativeness. The AI-generated health communication material received favorable ratings across all dimensions: perceived message effectiveness (3.83/5, 77%), perceived message quality (3.84/5, 77%), realism (3.72/5, 74%), relevance (3.68/5, 74%), attractiveness (3.62/5, 74%), and visual informativeness (3.35/5 67%). Linear regression analysis revealed that all features significantly predicted perceived message effectiveness in unadjusted and adjusted models (p < 0.0001), e.g., multivariate analysis of outcome on perceived visual informativeness showed β = 0.51, 95% CI: 0.37–0.66, p < 0.0001. Also, mediation analysis revealed that visual informativeness accounted for 23.8% of the relationship between material attractiveness and perceived effectiveness. AI tools can enable real-time adaptation of prevention guidance during epidemiological emergencies while maintaining effective risk communication.
