‏COVID-19 Quarantine Monitoring Based on Geofencing Technique

Alqrnawi, Nawar; Myderrizi, Indrit

doi:10.19072/ijet.953560

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…Wireless monitoring is inevitable in an isolation room. The most common method in Taiwan is the global system for mobile communications (GSM) signal of a smartphone through multiple base stations to determine the location of an individual ( 12 ), which offers advantages and limitations. The advantage is that the GSM signal uses off-the-shelf technology, only requiring a specific software program design, not additional hardware equipment.…”

Section: Methodsmentioning

confidence: 99%

IoT-based wearable health monitoring device and its validation for potential critical and emergency applications

Wang

Ching

et al. 2023

Front. Public Health

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The COVID-19 pandemic brought the world to a standstill, posing unprecedented challenges for healthcare systems worldwide. The overwhelming number of patients infected with the virus placed an enormous burden on healthcare providers, who struggled to cope with the sheer volume of cases. Furthermore, the lack of effective treatments or vaccines means that quarantining has become a necessary measure to slow the spread of the virus. However, quarantining places a significant burden on healthcare providers, who often lack the resources to monitor patients with mild symptoms or asymptomatic patients. In this study, we propose an Internet of Things (IoT)-based wearable health monitoring system that can remotely monitor the exact locations and physiological parameters of quarantined individuals in real time. The system utilizes a combination of highly miniaturized optoelectronic and electronic technologies, an anti-epidemic watch, a mini-computer, and a monitor terminal to provide real-time updates on physiological parameters. Body temperature, peripheral oxygen saturation (SpO2), and heart rate are recorded as the most important measurements for critical care. If these three physiological parameters are aberrant, then it could represent a life-endangering situation and/or a short period over which irreversible damage may occur. Therefore, these parameters are automatically uploaded to a cloud database for remote monitoring by healthcare providers. The monitor terminal can display real-time health data for multiple patients and provide early warning functions for medical staff. The system significantly reduces the burden on healthcare providers, as it eliminates the need for manual monitoring of patients in quarantine. Moreover, it can help healthcare providers manage the COVID-19 pandemic more effectively by identifying patients who require medical attention in real time. We have validated the system and demonstrated that it is well suited to practical application, making it a promising solution for managing future pandemics. In summary, our IoT-based wearable health monitoring system has the potential to revolutionize healthcare by providing a cost-effective, remote monitoring solution for patients in quarantine. By allowing healthcare providers to monitor patients remotely in real time, the burden on medical resources is reduced, and more efficient use of limited resources is achieved. Furthermore, the system can be easily scaled to manage future pandemics, making it an ideal solution for managing the health challenges of the future.

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Section: Methodsmentioning

confidence: 99%

IoT-based wearable health monitoring device and its validation for potential critical and emergency applications

Wang

Ching

et al. 2023

Front. Public Health

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“…One successful sol ution is to provide periodic data on the location of infected people. Such reports can be provided daily or instantly [21][22].…”

Section: Gps Technologymentioning

confidence: 99%

Information technology platform for monitoring infectious diseases

Stanko¹

2023

Visnyk TNTU

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Research conducted to curb the spread of infectious diseases in cities confirms that technology is making a significant contribution. A significant number of scientific studies analyze the impact of technology on the covid-19 pandemic in various aspects. However, the problems associated with the implementation of monitoring systems based on the Internet of Things are not studied in depth, they are related to the design of systems, their implementation in everyday life. This research provides an up-to-date analysis of how technology is helping to fight infectious diseases. Along with this, we consider the main challenges faced by users of such technologies, namely: privacy, security, scalability, etc. As a result, we can say that related technologies have a significant impact on the detection, tracking and containment of viruses. The organization and movement of a person has a great influence on the frequency of contacts, which, as a result, affects the transmission, spread and persistence of disease-causing pathogens. The search for contact structures of infectious diseases in view of human mobility requires a clear consideration of the spatial and temporal dimensions of pathogen transmission, which depend on the type of pathogen and the method of its transmission, the number of contacts and location. A platform that can help collect and analyze data mainly depends on having access to accurate details about various factors. Therefore, obtaining information is of prime importance for the development of this kind of technological platform. Using advanced technologies and tools such as IoT, remote monitoring devices, GPS, artificial intelligence and data analytics, contact tracing programs can provide an extra layer of protection when it comes to monitoring and controlling people's lives and health. The proposed approach to ensure the effective implementation of the IT platform for monitoring infectious diseases, as well as the formed group of roles. This approach makes it easier to launch the platform, distributing work between assigned roles and reducing the burden on health care resources and other city services.

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“…A Geo-COVID approach is proposed in [ 14 ] based on a geofencing framework to manage and monitor the people’s movement using GPS location. In [ 15 ], a geofencing protection system is proposed for home quarantine and monitoring objectives, where GPS and GSM modules are used with a microcontroller-based system to be used as a bracelet. IoT and blockchain technology are used in [ 16 ] to collect and analyze the physiological and geographical data for quarantined people.…”

Section: Introductionmentioning

confidence: 99%

“…Then, an alerting system informs these persons with this state. However, the existing approaches for home quarantine [ 9 , 10 , 14 , 15 , 18 ] depend on the GPS parameters that do not work well and cannot be applied in indoor environments [ 19 ]. Furthermore, the offered solutions [ 11 , 15 , 16 ] are high-cost systems and require additional infrastructure.…”

Section: Introductionmentioning

confidence: 99%

A Machine Learning Approach for Movement Monitoring in Clustered Workplaces to Control COVID-19 Based on Geofencing and Fusion of Wi-Fi and Magnetic Field Metrics

El-Haleem

Mohamed²,

Abdelhakam³

et al. 2022

Sensors

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The ubiquitous existence of COVID-19 has required the management of congested areas such as workplaces. As a result, the use of a variety of inspiring tools to deal with the spread of COVID-19 has been required, including internet of things, artificial intelligence (AI), machine learning (ML), and geofencing technologies. In this work, an efficient approach based on the use of ML and geofencing technology is proposed to monitor and control the density of persons in workplaces during working hours. In particular, the workplace environment is divided into a number of geofences in which each person is associated with a set of geofences that make up their own cluster using a dynamic user-centric clustering scheme. Different metrics are used to generate a unique geofence digital signature (GDS) such as Wi-Fi basic service set identifier, Wi-Fi received signal strength indication, and magnetic field data, which can be collected using the person’s smartphone. Then, these metrics are utilized by different ML techniques to generate the GDS for each indoor geofence and each building geofence as well as to detect whether the person is in their cluster. In addition, a Layered-Architecture Geofence Division method is considered to reduce the processing overhead at the person’s smartphone. Our experimental results demonstrate that the proposed approach can perform well in a real workplace environment. The results show that the system accuracy is about 98.25% in indoor geofences and 76% in building geofences.

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‏COVID-19 Quarantine Monitoring Based on Geofencing Technique

Cited by 4 publications

References 15 publications

IoT-based wearable health monitoring device and its validation for potential critical and emergency applications

IoT-based wearable health monitoring device and its validation for potential critical and emergency applications

Information technology platform for monitoring infectious diseases

A Machine Learning Approach for Movement Monitoring in Clustered Workplaces to Control COVID-19 Based on Geofencing and Fusion of Wi-Fi and Magnetic Field Metrics

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