Environmental Exposure and Human Health in Qatar: A Generative AI-Enabled Framework for Risk Assessment and Communication

Ultraviolet (UV) radiation and extreme heat are prominent environmental factors characterizing Qatar’s climate, presenting complex public health challenges. Notably, Vitamin D deficiency is prevalent in Qatar, with approximately 90% of the population exhibiting suboptimal Vitamin D levels, despite consistent year-round sunlight. This situation primarily results from behavioral adaptations. Consequently, individuals frequently remain indoors, thereby reducing their exposure to UV radiation, which is essential for Vitamin D synthesis. Concurrently, the impacts of climate change are intensifying, as Qatar’s average annual temperature has significantly increased, and the incidence of dangerously hot days (>40–45°C) is rising. This project aims to develop an innovative AI-powered risk assessment and communication platform that addresses the interconnected issues of UV/vitamin D exposure and heat stress in Qatar. The approach involves integrating datasets, including solar UV index records, meteorological data on heat, and health records on Vitamin D, and utilizing generative artificial intelligence (AI) to analyze risk levels and disseminate tailored health guidance. Anticipated outcomes include enhanced understanding of the interplay between environmental factors and health in Qatar, development of a functional Generative AI-enabled risk communication system, and provision of evidence-based guidance to inform national public health policies on sun and heat safety.

Hamad Bin Khalifa University (HBKU)