Web Performance and Usability of Web-Enabled Decision Support System for African Swine Fever Using ISO 25010 Standard

Abstract

This study evaluated a web-enabled Decision Support System (DSS) for African Swine Fever (ASF) surveillance using the ISO 25010 standard. Conducted with 258 participants, including IT experts, ASF professionals, and policymakers, the mixed-methods approach combined surveys, interviews, document analysis, and external technical assessments. Findings indicated overall user satisfaction with the DSS, with "Acceptable" to "Highly Acceptable" ratings across most ISO 25010 characteristics like functional suitability, compatibility, and maintainability, signifying its effective alignment with organizational and user needs. However, technical analyses revealed critical discrepancies, particularly in performance efficiency (slow load times, high page size) and security (critical vulnerabilities), which contrasted with user perceptions. IT professionals also identified areas for improvement in learnability, user interface aesthetics, and confidentiality. These results emphasize the necessity of integrating both user feedback and rigorous technical validation to ensure the DSS's true quality, robustness, and sustained utility in critical disease management efforts. Recommendations include enhancing usability and strengthening security through improved confidentiality, authentication, and encryption mechanisms.