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dc.contributor.authorKhan, Asiya
dc.contributor.authorMilne-Ives, Madison
dc.contributor.authorMeinert, Edward
dc.contributor.authorIyawa, GE
dc.contributor.authorJones, Ray
dc.contributor.authorJosephraj, AN
dc.date.accessioned2022-06-28T12:02:38Z
dc.date.issued2022-05-24
dc.identifier.issn1179-5972
dc.identifier.issn1179-5972
dc.identifier.urihttp://hdl.handle.net/10026.1/19348
dc.description.abstract

<jats:sec><jats:title>Background:</jats:title><jats:p> Digital Twins (DTs), virtual copies of physical entities, are a promising tool to help manage and predict outbreaks of Covid-19. By providing a detailed model of each patient, DTs can be used to determine what method of care will be most effective for that individual. The improvement in patient experience and care delivery will help to reduce demand on healthcare services and to improve hospital management. </jats:p></jats:sec><jats:sec><jats:title>Objectives:</jats:title><jats:p> The aim of this study is to address 2 research questions: (1) How effective are DTs in predicting and managing infectious diseases such as Covid-19? and (2) What are the prospects and challenges associated with the use of DTs in healthcare? </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> The review was structured according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) framework. Titles and abstracts of references in PubMed, IEEE Xplore, Scopus, ScienceDirect and Google Scholar were searched using selected keywords (relating to digital twins, healthcare and Covid-19). The papers were screened in accordance with the inclusion and exclusion criteria so that all papers published in English relating to the use of digital twins in healthcare were included. A narrative synthesis was used to analyse the included papers. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> Eighteen papers met the inclusion criteria and were included in the review. None of the included papers examined the use of DTs in the context of Covid-19, or infectious disease outbreaks in general. Academic research about the applications, opportunities and challenges of DT technology in healthcare in general was found to be in early stages. </jats:p></jats:sec><jats:sec><jats:title>Conclusions:</jats:title><jats:p> The review identifies a need for further research into the use of DTs in healthcare, particularly in the context of infectious disease outbreaks. Based on frameworks identified during the review, this paper presents a preliminary conceptual framework for the use of DTs for hospital management during the Covid-19 outbreak to address this research gap. </jats:p></jats:sec>

dc.format.extent117959722211021-117959722211021
dc.format.mediumElectronic-eCollection
dc.languageen
dc.language.isoeng
dc.publisherSAGE Publications
dc.subjectCovid-19
dc.subjectDigital Twins
dc.subjectdisease outbreaks
dc.subjecthealthcare
dc.subjectpublic health
dc.titleA Scoping Review of Digital Twins in the Context of the Covid-19 Pandemic
dc.typejournal-article
dc.typeJournal Article
dc.typeReview
plymouth.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/35633868
plymouth.volume13
plymouth.publication-statusPublished
plymouth.journalBiomedical Engineering and Computational Biology
dc.identifier.doi10.1177/11795972221102115
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Health
plymouth.organisational-group/Plymouth/Faculty of Health/School of Nursing and Midwifery
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA03 Allied Health Professions, Dentistry, Nursing and Pharmacy
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Institute of Health and Community
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
plymouth.organisational-group/Plymouth/Users by role/Researchers in ResearchFish submission
dc.publisher.placeUnited States
dcterms.dateAccepted2022-05-04
dc.rights.embargodate2022-6-29
dc.identifier.eissn1179-5972
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1177/11795972221102115
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2022
rioxxterms.typeJournal Article/Review


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