Literature DB >> 35782179

The Role of Internet of Things to Control the Outbreak of COVID-19 Pandemic.

Aniello Castiglione1, Muhammad Umer2,3, Saima Sadiq2, Mohammad S Obaidat4,5,6, Pandi Vijayakumar7.   

Abstract

Currently, COVID-19 pandemic is the major cause of disease burden globally. So, there is a need for an urgent solution to fight against this pandemic. Internet of Things (IoT) has the ability of data transmission without human interaction. This technology enables devices to connect in the hospitals and other planned locations to combat this situation. This article provides a road map by highlighting the IoT applications that can help to control it. This study also proposes a real-time identification and monitoring of COVID-19 patients. The proposed framework consists of four components using the cloud architecture: 1) data collection of disease symptoms (using IoT-based devices); 2) health center or quarantine center (data collected using IoT devices); 3) data warehouse (analysis using machine learning models); and 4) health professionals (provide treatment). To predict the severity level of COVID-19 patients on the basis of IoT-based real-time data, we experimented with five machine learning models. The results reveal that random forest outperformed among all other models. IoT applications will help management, health professionals, and patients to investigate the symptoms of contagious disease and manage COVID-19 +ve patients worldwide.

Entities:  

Keywords:  COVID-19; Internet of Things (IoT); IoT applications; sensors

Year:  2021        PMID: 35782179      PMCID: PMC8769024          DOI: 10.1109/JIOT.2021.3070306

Source DB:  PubMed          Journal:  IEEE Internet Things J        ISSN: 2327-4662            Impact factor:   10.238


  13 in total

1.  Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts.

Authors:  Quoc-Viet Pham; Dinh C Nguyen; Thien Huynh-The; Won-Joo Hwang; Pubudu N Pathirana
Journal:  IEEE Access       Date:  2020-07-15       Impact factor: 3.367

2.  Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study.

Authors:  Mohammad Nasajpour; Seyedamin Pouriyeh; Reza M Parizi; Mohsen Dorodchi; Maria Valero; Hamid R Arabnia
Journal:  J Healthc Inform Res       Date:  2020-11-12

3.  Gradient boosting machines, a tutorial.

Authors:  Alexey Natekin; Alois Knoll
Journal:  Front Neurorobot       Date:  2013-12-04       Impact factor: 2.650

4.  On the Coronavirus (COVID-19) Outbreak and the Smart City Network: Universal Data Sharing Standards Coupled with Artificial Intelligence (AI) to Benefit Urban Health Monitoring and Management.

Authors:  Zaheer Allam; David S Jones
Journal:  Healthcare (Basel)       Date:  2020-02-27

Review 5.  Internet of things (IoT) applications to fight against COVID-19 pandemic.

Authors:  Ravi Pratap Singh; Mohd Javaid; Abid Haleem; Rajiv Suman
Journal:  Diabetes Metab Syndr       Date:  2020-05-05

6.  Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak.

Authors:  A Wilder-Smith; D O Freedman
Journal:  J Travel Med       Date:  2020-03-13       Impact factor: 8.490

Review 7.  Recent Progress in Flexible Wearable Sensors for Vital Sign Monitoring.

Authors:  Jihong Liu; Meilin Liu; Yu Bai; Jiahao Zhang; Hongwei Liu; Wenbin Zhu
Journal:  Sensors (Basel)       Date:  2020-07-19       Impact factor: 3.576

8.  COVID-19-Extending Surveillance and the Panopticon.

Authors:  Danielle L Couch; Priscilla Robinson; Paul A Komesaroff
Journal:  J Bioeth Inq       Date:  2020-08-25       Impact factor: 1.352

9.  Social media and telemedicine for oral diagnosis and counselling in the COVID-19 era.

Authors:  Renato Assis Machado; Natália Lins de Souza; Rayane Maria Oliveira; Hercílio Martelli Júnior; Paulo Rogério Ferreti Bonan
Journal:  Oral Oncol       Date:  2020-04-10       Impact factor: 5.337

Review 10.  Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review.

Authors:  Sasmita Poudel Adhikari; Sha Meng; Yu-Ju Wu; Yu-Ping Mao; Rui-Xue Ye; Qing-Zhi Wang; Chang Sun; Sean Sylvia; Scott Rozelle; Hein Raat; Huan Zhou
Journal:  Infect Dis Poverty       Date:  2020-03-17       Impact factor: 4.520

View more
  4 in total

Review 1.  Machine learning applications for COVID-19 outbreak management.

Authors:  Arash Heidari; Nima Jafari Navimipour; Mehmet Unal; Shiva Toumaj
Journal:  Neural Comput Appl       Date:  2022-06-10       Impact factor: 5.102

2.  Architecture and organization of a Platform for diagnostics, therapy and post-covid complications using AI and mobile monitoring.

Authors:  Miroslaw Hajder; Piotr Hajder; Tomasz Gil; Maciej Krzywda; Janusz Kolbusz; Mateusz Liput
Journal:  Procedia Comput Sci       Date:  2021-10-01

3.  Predicting death risk analysis in fully vaccinated people using novel extreme regression-voting classifier.

Authors:  Eysha Saad; Saima Sadiq; Ramish Jamil; Furqan Rustam; Arif Mehmood; Gyu Sang Choi; Imran Ashraf
Journal:  Digit Health       Date:  2022-07-21

4.  The limitations for expression recognition in computer vision introduced by facial masks.

Authors:  Andrea Francesco Abate; Lucia Cimmino; Bogdan-Costel Mocanu; Fabio Narducci; Florin Pop
Journal:  Multimed Tools Appl       Date:  2022-08-13       Impact factor: 2.577

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.