Abstract
Today, the most serious threat to global health is the continuous outbreak of respiratory diseases, which is called Coronavirus Disease 2019 (COVID-19). The outbreak of COVID-19 has brought severe challenges to public health and has attracted great attention from the research and medical communities. Most patients infected with COVID-19 will have fever. Therefore, the monitoring of body temperature has become one of the most important basis for pandemic prevention and testing. Among them, the measurement of body temperature is the most direct through the Forehead Thermometer, but the measurement speed is relatively slow. The cost of fast-checking body temperature measurement equipment, such as infrared body temperature detection and face recognition temperature machine, is too high, and it is difficult to build Disease Surveillance System (DSS). To solve the above-mentioned problems, the Intelligent pandemic prevention Temperature Measurement System (ITMS) and Pandemic Prevention situation Analysis System (PPAS) are proposed in this study. ITMS is used to detect body temperature. However, PPAS uses big data analysis techniques to prevent pandemics. In this study, the campus field is used as an example, in which ITMS and PPAS are used. In the research, Proof of Concept (PoC), Proof of Service (PoS), and Proof of Business (PoB) were carried out for the use of ITMS and PPAS in the campus area. From the verification, it can be seen that ITMS and PPAS can be successfully used in campus fields and are widely recognized by users. Through the verification of this research, it can be determined that ITMS and PPAS are indeed feasible and capable of dissemination. The ITMS and PPAS are expected to give full play to their functions during the spread of pandemics. All in all, the results of this research will provide a wide range of applied thinking for people who are committed to the development of science and technology.
Highlights
IntroductionTechnology, Taichung City 5Higher Education Sprout Project Office, National Taichung University of Science and Technology, Taichung City
Technology, Taichung City 5Higher Education Sprout Project Office, National Taichung University of Science and Technology, Taichung CityWorld Health Organization (WHO) received the firstNovel Coronavirus (COVID-19) alert on December 31, 2019
In order to measure the body temperature required for COVID-19 detection, this study proposed the Internet of Things (IoT) Intelligent pandemic prevention temperature measurement system (ITMS) and Pandemic prevention situation analysis system (PPAS)
Summary
Technology, Taichung City 5Higher Education Sprout Project Office, National Taichung University of Science and Technology, Taichung City. The Health Monitoring Systems built with the Internet of Things (IoT) technology, cloud computing, and big data analyses can be provided to the Centers for Disease Control and Prevention (CDC) to prevent, predict, and monitor new infectious diseases.[3]. Integrating smartphones with the Internet of Things (IoT) and creating a monitoring system suitable for pandemic prevention, medical treatment, and health care will be very helpful for self-care and infectious disease outbreaks. Health care sectors in various countries often use remote health monitoring systems as a reference for disease prevention, infection prediction, and emergency decision-making on infectious diseases.[5] Through Information and Communications Technology (ICT), the operational efficiency of the health care sector can be improved[6,7] and a large number of sensors and IoT devices can be integrated to collect and analyze a large amount of data.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Distributed Sensor Networks
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
