Recently, virus diseases, such as SARS-CoV, MERS-CoV, and COVID-19, continue to emerge and pose a severe public health problem. These diseases threaten the lives of many people and cause serious social and economic losses. Recent developments in information technology (IT) and connectivity have led to the emergence of Internet of Things (IoT) and Artificial Intelligence (AI) applications in many industries. These industries, where IoT and AI together are making significant impacts, are the healthcare and the diagnosis department. In addition, by actively communicating with smart devices and various biometric sensors, it is expanding its application fields to telemedicine, healthcare, and disease prevention. Even though existing IoT and AI technologies can enhance disease detection, monitoring, and quarantine, their impact is very limited because they are not integrated or applied rapidly to the emergence of a sudden epidemic. Especially in the situation where infectious diseases are rapidly spreading, the conventional methods fail to prevent large-scale infections and block global spreads through prediction, resulting in great loss of lives. Therefore, in this paper, various sources of infection information with local limitations are collected through virus disease information collector, and AI analysis and severity matching are performed through AI broker. Finally, through the Integrated Disease Control Center, risk alerts are issued, proliferation block letters are sent, and post-response services are provided quickly. Suppose we further develop the proposed integrated virus disease control model. In that case, it will be possible to proactively detect and warn of risk factors in response to infectious diseases that are rapidly spreading worldwide and strengthen measures to prevent spreading of infection in no time.

近年来，SARS-CoV、MERS-CoV、COVID-19等病毒性疾病不断出现，构成严重的公共卫生问题。这些疾病威胁着许多人的生命，造成严重的社会和经济损失。信息技术 (IT) 和连接的最新发展导致物联网 (IoT) 和人工智能 (AI) 应用在许多行业中出现。物联网和人工智能共同产生重大影响的这些行业是医疗保健和诊断部门。此外，通过积极与智能设备和各种生物识别传感器进行通信，它正在将其应用领域扩展到远程医疗、医疗保健和疾病预防。尽管现有的物联网和人工智能技术可以加强疾病检测、监测和检疫，但其作用非常有限，因为它们没有快速集成或应用到突发疫情的出现。特别是在传染病快速蔓延的情况下，常规方法无法通过预测预防大规模感染并阻断全球传播，造成大量生命损失。因此，本文通过病毒病信息收集器收集具有局部局限性的各种感染源信息，并通过AI代理进行AI分析和严重程度匹配。最后，通过综合疾控中心发布风险预警、发送防扩散大信、快速提供后期服务。假设我们进一步开发所提出的综合病毒病控制模型。这样，就可以针对全球范围内迅速蔓延的传染病，主动发现和预警危险因素，并立即加强预防感染蔓延的措施。