Publication: IoT-based COVID-19 diagnosing and monitoring systems: a survey
dc.contributor.author | Anjum, Nasreen | |
dc.contributor.author | Alibakhshikenari, Mohammad | |
dc.contributor.author | Rashid, Junaid | |
dc.contributor.author | Jabeen, Fouzia | |
dc.contributor.author | Asif, Amna | |
dc.contributor.author | Mohamed, Ehab Mahmoud | |
dc.contributor.author | Falcone Lanas, Francisco Javier | |
dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren | eu |
dc.contributor.department | Institute of Smart Cities - ISC | en |
dc.contributor.department | IngenierĆa ElĆ©ctrica, ElectrĆ³nica y de ComunicaciĆ³n | es_ES |
dc.date.accessioned | 2023-01-20T09:58:38Z | |
dc.date.available | 2023-01-20T09:58:38Z | |
dc.date.issued | 2022 | |
dc.date.updated | 2023-01-20T09:30:29Z | |
dc.description.abstract | To date, the novel Coronavirus (SARS-CoV-2) has infected millions and has caused the deaths of thousands of people around the world. At the moment, five antibodies, two from China, two from the U.S., and one from the UK, have already been widely utilized and numerous vaccines are under the trail process. In order to reach herd immunity, around 70% of the population would need to be inoculated. It may take several years to hinder the spread of SARS-CoV-2. Governments and concerned authorities have taken stringent measurements such as enforcing partial, complete, or smart lockdowns, building temporary medical facilities, advocating social distancing, and mandating masks in public as well as setting up awareness campaigns. Furthermore, there have been massive efforts in various research areas and a wide variety of tools, technologies and techniques have been explored and developed to combat the war against this pandemic. Interestingly, machine learning (ML) algorithms and internet of Things (IoTs) technology are the pioneers in this race. Up till now, several real-time and intelligent IoT-based COVID-19 diagnosing, and monitoring systems have been proposed to tackle the pandemic. In this article we have analyzed a wide range of IoTs technologies which can be used in diagnosing and monitoring the infected individuals and hotspot areas. Furthermore, we identify the challenges and also provide our vision about the future research on COVID-19. | en |
dc.description.sponsorship | Dr. Mohammad Alibakhshikenari acknowledges support from the CONEX-Plus programme funded by Universidad Carlos III de Madrid and the European Unionās Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 801538. Additionally, this work was supported by Project RTI2018-095499-B-C31, funded by the Ministerio de Ciencia, InnovaciĆ³n y Universidades, Gobierno de EspaƱa (MCIU/AEI/FEDER, UE). | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Anjum, N., Alibakhshikenari, M., Rashid, J., Jabeen, F., Asif, A., Mohamed, E. M., & Falcone, F. (2022). Iot-based covid-19 diagnosing and monitoring systems: A survey. IEEE Access, 10, 87168-87181. https://doi.org/10.1109/ACCESS.2022.3197164 | en |
dc.identifier.doi | 10.1109/ACCESS.2022.3197164 | |
dc.identifier.issn | 2169-3536 | |
dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/44610 | |
dc.language.iso | eng | en |
dc.publisher | IEEE | en |
dc.relation.ispartof | IEEE Access 2022, 10 (87168) | en |
dc.relation.projectID | info:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/801538 | en |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de InvestigaciĆ³n CientĆfica y TĆ©cnica y de InnovaciĆ³n 2017-2020/RTI2018-095499-B-C31/ES/ | en |
dc.relation.publisherversion | https://doi.org/10.1109/ACCESS.2022.3197164 | |
dc.rights | This work is licensed under a Creative Commons Attribution 4.0 License. | en |
dc.rights.accessRights | Acceso abierto / Sarbide irekia | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Artificial intelligence (AI) | en |
dc.subject | Coronavirus | en |
dc.subject | COVID-19 pandemic | en |
dc.subject | Internet of Things (IoTs) | en |
dc.subject | Machine learning algorithms | en |
dc.title | IoT-based COVID-19 diagnosing and monitoring systems: a survey | en |
dc.type | ArtĆculo / Artikulua | es |
dc.type | info:eu-repo/semantics/article | en |
dc.type.version | VersiĆ³n publicada / Argitaratu den bertsioa | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | en |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 69667b5c-e390-42d4-bc71-9f256c1b7b85 | |
relation.isAuthorOfPublication.latestForDiscovery | 69667b5c-e390-42d4-bc71-9f256c1b7b85 |