Public health researchers and healthcare teams need to understand why people do or do not use sun protection in high-risk environments. The 2026 PLoS ONE study on Hajj pilgrims and nurses shows why interviews are valuable: participants recognized heat as a danger, but many had limited understanding of ultraviolet radiation, UPF-rated products, and the difference between thermal comfort and UV protection. Qualitative research on sun protection can reveal the cultural beliefs, communication barriers, product constraints, and practical experiences that quantitative measures may miss. This article refracts the study through the lens of AI qualitative research, showing how researchers can organize multilingual interviews, identify themes, compare participant groups, and preserve participant quotations while reducing manual synthesis time. Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. The platform can support thematic and cross-segment analysis while keeping human interpretation central.
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Start freeTopics
- qualitative research on sun protection
- AI qualitative research
- Hajj health research
- thematic analysis of interviews
- UV protection awareness
Run this analysis on your own data
Evidano codes documents, interviews, survey responses and spreadsheets with AI, with your judgment in control at every step.
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- Commentary on NewsAI Qualitative Analysis of Hajj Sun ProtectionLearn how qualitative analysis of sun protection reveals Hajj health behavior gaps, and how AI helps researchers turn interviews into actionable themes faster.
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- Commentary on NewsWhat Hajj Interviews Reveal About Sun Protection ResearchLearn how qualitative sun protection research reveals behavior gaps at Hajj and how AI analysis can turn interviews into clearer public health action.
