A Scoping Review of Digital Twins in the Context of the Covid-19 Pandemic

Biomedical Engineering and Computational Biology

article

Asiya Khan¹  Madison Milne-Ives²  Edward Meinert²  Gloria E Iyawa⁴  Ray B Jones²  Alex N Josephraj⁵ 

[1] School of Engineering, Computing and Mathematics, University of Plymouth;Centre for Health Technology, University of Plymouth;Department of Primary Care and Public Health, School of Public Health, Imperial College London;Department of Computing, Sheffield Hallam University;Key Laboratory of Digital Signal and Image Processing of Guandong Province, Shantou University

关键词: Digital Twins;    healthcare;    Covid-19;    public health;    disease outbreaks;   

DOI  :  10.1177/11795972221102115

学科分类：化学工程（综合）

来源: Sage Journals

【 摘 要 】

Background: 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.

【 授权许可】

CC BY|CC BY-NC