Development of Digital Surveillance for the COVID-19 and Dengue Co-Epidemic (SMART-CODEN) in Indonesia

Background: The concurrent occurrence of COVID-19 and Dengue is a significant public health issue that requires attention. Developing a digital-based integrated surveillance system is crucial for data collection. Objective: This project aims to create a digital surveillance system, SMART-CODEN, specifically designed for monitoring the co-epidemic of COVID-19 and Dengue. SMART-CODEN is a cutting-edge surveillance system that integrates real-time data analysis and case mapping to effectively and efficiently monitor and analyze the progress of these two illnesses. Method: This study employs the SLDC framework, utilizing an Agile Model approach. The agile model is a versatile and incremental approach to software development. During the needs analysis stage, extensive interviews were carried out with healthcare professionals, technological innovators, and other relevant parties to comprehensively understand the requirements and difficulties in COVID-19 and Dengue surveillance. The acquired data is utilized to develop systems that can identify, monitor, and conduct precise analysis early. Findings: The research findings demonstrate that SMART-CODEN can enhance the velocity and precision of early identification of COVID-19 and Dengue cases compared to conventional monitoring approaches. This approach also enables health authorities to take faster and more focused preventive measures and promotes decision-making based on data. Implementing SMART-CODEN can also foster active community engagement in reporting symptoms and cases, mitigating the disease transmission rate. SMART-CODEN specifically decreased the time it takes to identify anything by 40%, attained a detection accuracy rate of 95%, enhanced the speed at which health authorities respond by 35%, and raised community reporting by 50%. Conclusion: In summary, this study determines that creating the SMART-CODEN design results in a successful and original surveillance system that may be used for controlling infectious diseases.