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Real-Time Investigation of a Large Nosocomial Influenza A Outbreak Informed by Genomic Epidemiology
Author(s) -
Waleed Javaid,
Jordan Ehni,
Ana S. González-Reiche,
Juan Manuel Carreño,
Elena Hirsch,
Jessica Tan,
Zenab Khan,
Divya Kriti,
Thanh Ly,
Bethany Kranitzky,
Barbara Barnett,
Freddy Cera,
Lenny Prespa,
Marie Moss,
Randy A. Albrecht,
Ala Mustafa,
Ilka Herbison,
Matthew M. Hernandez,
Theodore R. Pak,
Hala Alshammary,
Robert Sebra,
Melissa Smith,
Florian Krammer,
Melissa R. Gitman,
Emilia Mia Sordillo,
Viviana Simon,
Harm van Bakel
Publication year - 2020
Publication title -
clinical infectious diseases/clinical infectious diseases (online. university of chicago. press)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.44
H-Index - 336
eISSN - 1537-6591
pISSN - 1058-4838
DOI - 10.1093/cid/ciaa1781
Subject(s) - outbreak , medicine , influenza a virus , pandemic , epidemiology , infection control , transmission (telecommunications) , health care , public health , virology , influenza a virus subtype h5n1 , cluster (spacecraft) , human mortality from h5n1 , environmental health , virus , intensive care medicine , disease , infectious disease (medical specialty) , covid-19 , nursing , economic growth , electrical engineering , economics , engineering , computer science , programming language
Nosocomial respiratory virus outbreaks represent serious public health challenges. Rapid and precise identification of cases and tracing of transmission chains is critical to end outbreaks and to inform prevention measures.

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