Qualitative analysis of sun protection helps public health researchers understand why people recognize environmental risks but do not consistently act on them. The issue is especially important during Hajj, where pilgrims and healthcare workers must distinguish heat-related illness from ultraviolet, or UV, harm. According to Qaladi and colleagues’ November 11, 2026 study in PLOS One, participants understood sun exposure mainly as a heat problem, while awareness of UV protection factor, or UPF, products remained limited. The study also identified cultural, communication, cost, availability, and comfort barriers. Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. This article explains what the Hajj interview study found, how researchers can structure qualitative analysis of sun protection, and how AI can accelerate coding, thematic synthesis, translation, and cross-segment comparison without replacing methodological judgment.
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- qualitative analysis of sun protection
- AI qualitative research
- Hajj health research
- thematic analysis of interviews
- UV protection awareness
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Evidano codes documents, interviews, survey responses and spreadsheets with AI, with your judgment in control at every step.
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