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• W3199483745 abstract "Ensuring the safety of healthcare workers is vital to overcome the ongoing COVID-19 pandemic. We here present an analysis of the social interactions between the healthcare workers at hospitals and nursing homes. Using data from an automated hand hygiene system, we inferred social interactions between healthcare workers to identify transmission paths of infection in hospitals and nursing homes. A majority of social interactions occurred in medication rooms and kitchens emphasising that health-care workers should be especially aware of following the infection prevention guidelines in these places. Using epidemiology simulations of disease at the locations, we found no need to quarantine all healthcare workers at work with a contagious colleague. Only 14.1% and 24.2% of the health-care workers in the hospitals and nursing homes are potentially infected when we disregard hand sanitization and assume the disease is very infectious. Based on our simulations, we observe a 41% and 26% reduction in the number of infected healthcare workers at the hospital and nursing home, when we assume that hand sanitization reduces the spread by 20% from people to people and 99% from people to objects. The analysis and results presented here forms a basis for future research to explore the potential of a fully automated contact tracing systems." @default.
• W3199483745 created "2021-09-27" @default.
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• W3199483745 date "2021-09-20" @default.
• W3199483745 modified "2023-10-17" @default.
• W3199483745 title "Analysis of social interactions and risk factors relevant to the spread of infectious diseases at hospitals and nursing homes" @default.
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• W3199483745 doi "https://doi.org/10.1371/journal.pone.0257684" @default.
• W3199483745 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8452062" @default.
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