การพัฒนาแอพพลิเคชั่น Home Isolation LRU เพื่อเก็บข้อมูลกลุ่มสัมผัสเสี่ยงต่อการติดเชื้อไวรัสโคโรนา 2019
Year: 2026
Type: article
Abstract: This research and development project aims to develop the Home Isolation LRU application for collecting data on high-risk contacts for COVID-19 infection and to study the effectiveness of the Home Isolation LRU application in collecting data on high-risk contacts. The sample group consisted of 193 high-risk volunteers. The tools used were the Home Isolation LRU web application, developed from a disease investigation form based on the Ministry of Public Health's criteria and an application quality evaluation form. The application was developed using Visual Studio Code in C programming language, with the user interface designed using Adobe XD and integrated with Line Official. Data was analyzed using frequency, percentage, mean, and standard deviation. The research results showed that the Home Isolation LRU web application has three functional parts: a system for recording basic and health information such as temperature, blood oxygen levels, heart rate, and key symptoms; a system for recording a 14-day timeline for disease tracking and investigation; and a system for displaying data via mobile phones and exporting data to a computer for data management. Users can access their own specific data, while system administrators can monitor data to control the spread of the disease. The overall application quality assessment results were excellent ( = 4.53, S.D. = 0.54). The system's functional aspects received the highest average score ( = 4.54, S.D. = 0.54), followed by system efficiency ( = 4.53, S.D. = 0.53), ease of use ( = 4.52, S.D. = 0.54), and user responsiveness ( = 4.51, S.D. = 0.54), respectively. In conclusion, the Home Isolation LRU web application reduces redundant tasks and can be effectively applied to the future surveillance of emerging infectious diseases.
Source: Journal of MCU Nakhondhat
Authors: Kumyoung, Natchareeya, Kumyoung, Anuphum
Institution: Loei Rajabhat University
Language: Thai
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7219187635