@文章{信息:doi/10.2196/39157，作者=“Okonkwo, Chinedu Wilfred and Amusa, Lateef Babatunde and Twinomurinzi, Hossana”，标题=“COVID-Bot，一种新型冠状病毒疫苗筛查智能系统:设计与开发”，期刊=“JMIR Form Res”，年=“2022”，月=“10”，日=“27”，卷=“6”，号=“10”，页=“e39157”，关键词=“聊天机器人”;COVID-Bot;COVID-19;学生;疫苗;豁免信;疫苗接种;背景:冠状病毒继续在全球传播，造成各种健康和经济中断。控制这种疾病传播的最重要方法之一是使用基于人工智能(AI)的技术干预，例如聊天机器人系统。聊天机器人可以帮助对抗COVID-19的传播。 Objective: This paper introduces COVID-Bot, an intelligent interactive system that can help screen students and confirm their COVID-19 vaccination status. Methods: The design and development of COVID-Bot followed the principles of the design science research (DSR) process, which is a research method for creating a new scientific artifact. COVID-Bot was developed and implemented using the SnatchBot chatbot application programming interface (API) and its predefined tools, which are driven by various natural language processing algorithms. Results: An evaluation was carried out through a survey that involved 106 university students in determining the functionality, compatibility, reliability, and usability of COVID-Bot. The findings indicated that 92 (86.8{\%}) of the participants agreed that the chatbot functions well, 85 (80.2{\%}) agreed that it fits well with their mobile devices and their lifestyle, 86 (81.1{\%}) agreed that it has the potential to produce accurate and consistent responses, and 85 (80.2{\%}) agreed that it is easy to use. The average obtained $\alpha$ was .87, indicating satisfactory reliability. Conclusions: This study demonstrates that incorporating chatbot technology into the educational system can combat the spread of COVID-19 among university students. The intelligent system does this by interacting with students to determine their vaccination status. ", issn="2561-326X", doi="10.2196/39157", url="https://formative.www.mybigtv.com/2022/10/e39157", url="https://doi.org/10.2196/39157", url="http://www.ncbi.nlm.nih.gov/pubmed/36301616" }