Talk · International Conference on Computer Systems and Technologies · June 27, 2025
The Power of Data Visualization in Understanding Esophageal Cancer Based on Risk Factors: A Case from Arsi Zone, Ethiopia
Mekia Shigute Gaso, Remudin Reshid Mekuria, Haji Aman Deybasso, Selcuk Cankurt, Burul Shambetova
Abstract
Esophageal cancer (EC) is a growing public health concern in Ethiopia, particularly in the Arsi Zone, Oromia. While numerous studies have identified key dietary and environmental risk factors contributing to EC, the complexity of scientific data often limits its accessibility to healthcare professionals, policy-makers, and the general public. This study emphasizes the power of data visualization in transforming epidemiological findings into intuitive, user-friendly formats that enhance understanding, support decision-making, and promote targeted interventions. By employing various visualization techniques, including grouped bar charts, heatmaps, stacked bar charts, and forest plots, this study effectively illustrates the distribution of cases and controls, highlights major risk factors, and reveals key trends in esophageal cancer prevalence. Additionally, an interactive dashboard was developed to facilitate real-time data exploration, allowing healthcare professionals and researchers to uncover patterns that aid in risk assessment and disease prevention. The findings demonstrate that data visualization serves as a critical tool in bridging the gap between complex statistical analysis and practical health applications. By making esophageal cancer risk factors more comprehensible, visualization enhances public awareness, informs clinical decision-making, and supports policymakers in designing effective preventive strategies. This study underscores the need for integrating data visualization into public health research and calls for future advancements in interactive and predictive tools to further improve cancer prevention efforts in Ethiopia and beyond.
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