Coronavirus 2019, more commonly known as COVID-19, was declared a global pandemic by the World Health Organization (WHO) on March 11, 2020. The β coronavirus culpable for the disease, SARS CoV-2, is known to be highly contagious with a relatively long incubation period of up to 14 days and is transmittable through small droplets, especially among people who are in close face-to-face contact. The Ministry of Health of Malaysia has recommended five days of quarantine for people who are positive for COVID-19 to avoid further disease transmission. Many resources are used to monitor patients throughout the quarantine period. Therefore, this project would like to present an IoT-enabled wearable device capable of monitoring COVID-19 quarantine patients by utilizing sensors to monitor the necessary health parameters and facilitate home quarantine. The low-cost ESP32 and Arduino Nano 33 BLE Sense microcontrollers are used in this device. They are connected to various IoT sensors to collect temperature, humidity, and sound data. The data obtained will then be uploaded to an IoT platform for doctors to analyze and monitor remotely via the health log throughout the 5-day quarantine period. An alert system is also devised to inform the medical staff if the patient is experiencing abnormal symptoms. The medical staff can then bring their attention to the patient and take the necessary actions to combat COVID-19. 

Smart Machine Learning-based IoT Health and Cough Monitoring System

The spread of the virus caused by SARS-CoV-2 has been designated as an extraordinary event so that the government to speed up the collection and management of this disease then appoints several hospitals that serve as referral hospitals for people who want to check themselves. One of the hospitals used as a reference by the government in West Sumatra is Andalas University hospital. In just one day, the hospital received thousands of samples for examination. The number of samples to be examined and the limited number of administrations that conduct data collection results in the length of the sample collection process. This article aims to design and implement an information system in the data collection of Swab Covid-19 using waterfall model system development methods. The requirement testing model is used for testing a web-based Covid 19 swab data information system whether it is in accordance with system users' needs analysis and design.

https://ijasce.org/index.php/IJASCE/article/download/75/106

Utilizing Requirement Testing Methods on Web-Based Swab Data Information System

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Utilizing Requirement Testing Methods on Web-Based Swab Data Information System