ArticleJournal of ambient intelligence and humanized computing2018
IoT-based cloud framework to control Ebola virus outbreak.
Article in Journal of ambient intelligence and humanized computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Article
- Role of digital technology in epidemic control: a scoping review on COVID-19 and Ebola.BMJ open · 2025Article
- Modern technologies and solutions to enhance surveillance and response systems for emerging zoonotic diseases.Science in One Health · 2024Review
- The application of wearable smart sensors for monitoring the vital signs of patients in epidemics: a systematic literature review.Journal of ambient intelligence and humanized computing · 2023Article
- Wearable bioelectronic masks for wireless detection of respiratory infectious diseases by gaseous media.Matter · 2022Article
- CoviExpert: COVID-19 detection from chest X-ray using CNN.Measurement. Sensors · 2022Article
- Autonomous service for managing real time notification in detection of COVID-19 virus.Computers & electrical engineering : an international journal · 2022Article
- Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control.Artificial intelligence in medicine · 2022Article
- A novel IoT-fog-cloud-based healthcare system for monitoring and predicting COVID-19 outspread.The Journal of supercomputing · 2022Article
- A CoviReader Architecture Based on IOTA Tangle for Outbreak Control in Smart Cities during COVID-19 Pandemic.Medical journal of the Islamic Republic of Iran · 2022Article
- Monitoring Symptoms of Infectious Diseases: Perspectives for Printed Wearable Sensors.Micromachines · 2021Review
- A remote management system for control and surveillance of echinococcosis: design and implementation based on internet of things.Infectious diseases of poverty · 2021Article
- IoMT amid COVID-19 pandemic: Application, architecture, technology, and security.Journal of network and computer applications (Online) · 2021Review
- How Internet of Things responds to the COVID-19 pandemic.PeerJ. Computer science · 2021Article
- An Intelligent and Energy-Efficient Wireless Body Area Network to Control Coronavirus Outbreak.Arabian journal for science and engineering · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ebola is a deadly infectious virus that spreads very quickly through human-to-human transmission and sometimes death. The continuous detection and remote monitoring of infected patients are required in order to prevent the spread of Ebola virus disease (EVD). Healthcare services based on Internet of Things (IoT) and cloud computing technologies are emerging as a more effective and proactive solution which provides remote continuous monitoring of patients. A novel architecture based on Radio Frequency Identification Device (RFID), wearable sensor technology, and cloud computing infrastructure is proposed for the detection and monitoring of Ebola infected patients. The aim of this work is to prevent the spreading of the infection at the early stage of the outbreak. The J48 decision tree is used to evaluate the level of infection in a user depending on his symptoms. RFID is used to automatically sense the close proximity interactions (CPIs) between users. Temporal Network Analysis (TNA) is applied to describe and monitor the current state of the outbreak using the CPI data. The performance and accuracy of our proposed model are evaluated on Amazon EC2 cloud using synthetic data of two million users. Our proposed model provided 94 % accuracy for the classification and 92 % of the resource utilization.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.