Towards a ubiquitous real-time COVID-19 detection system

PurposeIn view of the intensive spread of Coronavirus disease 2019 (COVID-19) and in order to reduce the rate of spread of this disease; the objective of this article is to propose an approach to detect in real time suspect person of Coronavirus disease 2019 (COVID-19).Design/methodology/approachThe...

Full description

Saved in:
Bibliographic Details
Published in:International journal of pervasive computing and communications 2022-02, Vol.18 (2), p.211-225
Main Authors: Sbai, Mohamed, Taktak, Hajer, Moussa, Faouzi
Format: Article
Language:English
Subjects:
Adaptation
Architecture
Asymptomatic
Chronic illnesses
Coronaviruses
COVID-19
Design
Disease transmission
Empowerment
Health services
Infectious diseases
Laboratory tests
Physiology
Propagation
Real time
Risk analysis
Signs and symptoms
Software
Ubiquitous computing
User feedback
User interface
Viral diseases
Wireless networks
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:PurposeIn view of the intensive spread of Coronavirus disease 2019 (COVID-19) and in order to reduce the rate of spread of this disease; the objective of this article is to propose an approach to detect in real time suspect person of Coronavirus disease 2019 (COVID-19).Design/methodology/approachThe ubiquitous computing offers a new opportunity to reshape the form of conventional solutions for personalized services according to the contextual situations of each environment. The health system is seen as a key part of ubiquitous computing, which means that health services are available anytime, anywhere to monitor patients based on their context. This paper aims to design and validate a contextual model for ubiquitous health systems designed to detect in real time suspect person of COVID-19, to reduce the propagation of this infectious disease and to take the necessary instructions.FindingsThis paper presents the performance results of the COVID-19 detection approach. Thus, the reduction of the COVID-19 propagation rate thanks to the real-time intervention of the system.Originality/valueFollowing the COVID-19 pandemic spread, the authors tried to find a solution to detect the disease in real time. In this paper, a real-time COVID-19 detection system based on the ontological description supported by Semantic Web Rule Language (SWRL) rules was developed. The proposed ontology contains all relevant concepts related to COVID-19, including personal information, location, symptoms, risk factors, laboratory test results and treatment planning. The SWRL rules are constructed from medical recommendations.
ISSN:1742-7371
1742-738X
DOI:10.1108/IJPCC-07-2020-0087