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IoT-Based COVID-19 Diagnosing and Monitoring Systems: A Survey

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dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Comunicacioneses
dc.contributor.authorAnjum, Nasreem
dc.contributor.authorAlibakhshikenari, Mohammad
dc.contributor.authorRashid, Junaid
dc.contributor.authorJabeen, Fouzia
dc.contributor.authorAsif, Amna
dc.contributor.authorMohamed, Ehab Mahmoud
dc.contributor.authorFalcone, Francisco
dc.contributor.funderEuropean Commissionen
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)es
dc.contributor.funderUniversidad Carlos III de Madrides
dc.date.accessioned2022-11-17T08:54:06Z
dc.date.available2022-11-17T08:54:06Z
dc.date.issued2022-08-08
dc.description.abstractTo 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.sponsorshipDr. Mohammad Alibakhshikenari acknowledges support from the CONEX-Plus programme funded by Universidad Carlos III de Madrid and the European Union's 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, Innovación y Universidades, Gobierno de España (MCIU/AEI/FEDER, UE).en
dc.format.extent14
dc.identifier.bibliographicCitationAnjum, 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.en
dc.identifier.doi10.1109/ACCESS.2022.3197164
dc.identifier.issn2169-3536
dc.identifier.publicationfirstpage87168
dc.identifier.publicationlastpage87181
dc.identifier.publicationtitleIEEE Accessen
dc.identifier.publicationvolume10
dc.identifier.urihttps://hdl.handle.net/10016/36028
dc.identifier.uxxiAR/0000031501
dc.language.isoeng
dc.publisherIEEEen
dc.relation.projectIDUniversidad Carlos III de Madrid. CONEX-Plus programmees
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/801538en
dc.relation.projectIDGobierno de España. RTI2018-095499-B-C31es
dc.rights© 2022 the authorsen
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherCovid-19 pandemicen
dc.subject.otherCoronavirusen
dc.subject.otherMachine learning algorithmsen
dc.subject.otherArtificial intelligence (AI)en
dc.subject.otherInternet of things (IoTs)en
dc.titleIoT-Based COVID-19 Diagnosing and Monitoring Systems: A Surveyen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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