Development of an Early-Detection COVID-19 Diagnostic Pre-Testing System
DOI:
https://doi.org/10.63561/jca.v2i4.1072Keywords:
Early Detection, Development, COVID-19, Diagnostic, Pre-Testing SystemAbstract
The COVID-19 pandemic has highlighted the critical role of early detection in curbing disease transmission and reducing pressure on healthcare systems. This study presents the design and implementation of a COVID-19 Diagnostic Pre-Testing System that enables early symptom assessment and identification of high-risk individuals. The system allows users to input symptom-related information, which is analyzed using predefined diagnostic criteria to estimate infection likelihood. The front-end interface was developed using HTML, CSS, and JavaScript to ensure a responsive and user-friendly experience, while PHP and MySQL were employed for server-side operations and secure data management. By providing instant feedback and maintaining a database of user interactions, the system enhances the efficiency of preliminary COVID-19 screening and supports data-driven decision-making for public health interventions. The proposed solution demonstrates how expert system principles can be applied to improve pandemic response, promote awareness, and assist healthcare providers in prioritizing testing and resource allocation.
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