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

S. Purnama, Made Subrata, Pasek Kardiwinata
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Abstract

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.
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在印度尼西亚开发 COVID-19 和登革热共同流行的数字监控系统 (SMART-CODEN)
背景:COVID-19 和登革热的同时发生是一个需要关注的重大公共卫生问题。开发基于数字化的综合监测系统对于数据收集至关重要。项目目标本项目旨在创建一个数字监测系统 SMART-CODEN,专门用于监测 COVID-19 和登革热同时流行的情况。SMART-CODEN 是一种先进的监测系统,它整合了实时数据分析和病例分布图,可有效、高效地监测和分析这两种疾病的进展情况。方法:本研究采用了 SLDC 框架,使用了敏捷模型方法。敏捷模型是一种多功能、渐进式的软件开发方法。在需求分析阶段,对医疗保健专业人员、技术创新人员和其他相关人员进行了广泛的访谈,以全面了解 COVID-19 和登革热监测方面的需求和困难。利用所获得的数据开发能够及早识别、监测和进行精确分析的系统。研究结果:研究结果表明,与传统监测方法相比,SMART-CODEN 能够提高早期识别 COVID-19 和登革热病例的速度和精确度。这种方法还能使卫生部门更快、更有针对性地采取预防措施,并促进基于数据的决策。实施 SMART-CODEN 还能促进社区积极参与报告症状和病例,降低疾病传播率。SMART-CODEN 特别将发现任何情况所需的时间缩短了 40%,检测准确率达到 95%,卫生部门的反应速度提高了 35%,社区报告率提高了 50%。结论总之,这项研究表明,SMART-CODEN 设计的结果是一个成功的、独创的监测系统,可用于控制传染病。
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