Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact: an international retrospective cohort study

BACKGROUND: Real-time prediction is key to prevention and control of infections associated with health-care settings. Contacts enable spread of many infections, yet most risk prediction frameworks fail to account for their dynamics. We developed, tested, and internationally validated a real-time mac...

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Detalles Bibliográficos
Autores principales: Myall, Ashleigh, Price, James R, Peach, Robert L, Abbas, Mohamed, Mookerjee, Sid, Zhu, Nina, Ahmad, Isa, Ming, Damien, Ramzan, Farzan, Teixeira, Daniel, Graf, Christophe, Weiße, Andrea Y, Harbarth, Stephan, Holmes, Alison, Barahona, Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296105/
https://www.ncbi.nlm.nih.gov/pubmed/35868812
http://dx.doi.org/10.1016/S2589-7500(22)00093-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296105/
https://www.ncbi.nlm.nih.gov/pubmed/35868812
http://dx.doi.org/10.1016/S2589-7500(22)00093-0

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