Modelling the Impact of Robotics on Infectious Spread Among Healthcare Workers

Show simple item record Vicente, R. Mohamed, Y. Eguíluz, V.M. Zemmar, E. Bayer, P. Neimat, J.S. Hernesniemi, J. Nelson, B.J. Zemmar, A. 2021-07-08T07:08:17Z 2021-07-08T07:08:17Z
dc.description.abstract [eng] The Coronavirus disease 2019 (Covid-19) pandemic has brought the world to a standstill. Healthcare systems are critical to maintain during pandemics, however, providing service to sick patients has posed a hazard to frontline healthcare workers (HCW) and particularly those caring for elderly patients. Various approaches are investigated to improve safety for HCW and patients. One promising avenue is the use of robots. Here, we model infectious spread based on real spatio-temporal precise personal interactions from a geriatric unit and test different scenarios of robotic integration. We find a significant mitigation of contamination rates when robots specifically replace a moderate fraction of high-risk healthcare workers, who have a high number of contacts with patients and other HCW. While the impact of robotic integration is significant across a range of reproductive number R0, the largest effect is seen when R0 is slightly above its critical value. Our analysis suggests that a moderate-sized robotic integration can represent an effective measure to significantly reduce the spread of pathogens with Covid-19 transmission characteristics in a small hospital unit.
dc.format application/pdf
dc.relation.ispartof Frontiers in Robotics and AI, 2021, vol. 8, p. 652685
dc.rights , 2021
dc.subject.classification 53 - Física
dc.subject.other 53 - Physics
dc.title Modelling the Impact of Robotics on Infectious Spread Among Healthcare Workers
dc.type info:eu-repo/semantics/article 2021-07-08T07:08:17Z
dc.rights.accessRights info:eu-repo/semantics/openAccess

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