Accepted for/Published in: JMIR Formative Research
Date Submitted: Apr 30, 2022
Date Accepted: Jul 12, 2022
COVID-Bot: An Intelligent System for COVID-19 Vaccination Screening
ABSTRACT
Background:
The spread of coronavirus continues around the world, causing a variety of problems in human health and the economy. One of the most important approaches to control the spread of this disease is to use a technological intervention based on Artificial Intelligence, such as a Chatbot system. The use of chatbots can aid in the fight against the spread of COVID-19 disease.
Objective:
This paper introduced a COVID-Bot, an intelligent interactive system that can help screen students and confirm whether they have received COVID-19 vaccine or not based on the student's vaccination dataset.
Methods:
The design and development of COVID-Bot follow the principles of the design science research 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).
Results:
An evaluation was carried out to determine the system's usefulness, and over 80% of the participants agreed that the Chatbot functions well, fits well with students’ mobile devices and their lifestyle, produces accurate and consistent responses, and easy to use.
Conclusions:
This research presented the design and development of an Chatbot system for COVID-19-related issues, and the application of the system can aid in the fight against the spread of COVID-19 disease.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.