Zobrazeno 1 - 10
of 526
pro vyhledávání: '"Spread of Hospital-Acquired infections"'
Autor:
Nekkab, Narimane1,2,3 narimane.nekkab@cnam.fr, Astagneau, Pascal3,4,5, Temime, Laura1,2, Crépey, Pascal3,6,7
Publikováno v:
PLoS Computational Biology. 8/24/2017, Vol. 13 Issue 8, p1-22. 22p. 1 Diagram, 4 Charts, 1 Graph, 1 Map.
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 8, p e1005666 (2017)
Hospital-acquired infections (HAIs), including emerging multi-drug resistant organisms, threaten healthcare systems worldwide. Efficient containment measures of HAIs must mobilize the entire healthcare network. Thus, to best understand how to reduce
Externí odkaz:
https://doaj.org/article/3ecd31b2b0f048068141d606abbbde8d
Publikováno v:
PLoS Computational Biology. Mar2010, Vol. 6 Issue 3, p1-9. 9p. 4 Graphs.
Autor:
Nekkab, Narimane
The spread of healthcare-associated infections (HAIs) and multi-drug resistance in healthcare networks is a major public health issue. Evaluating the role of inter-facility patient transfers that form the structure of these networks may provide insig
Externí odkaz:
http://www.theses.fr/2018CNAM1180/document
Transportation systems have served the public interest for millennia but modern iterations have flaws that endanger the safety of both humans and the environment. Vehicle cybersecurity is an area of interest due to the increased cyber risk associated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52ccd117f5cf06b7c70cac048ad5e1f0
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 3, p e1000715 (2010)
Rates of hospital-acquired infections, such as methicillin-resistant Staphylococcus aureus (MRSA), are increasingly used as quality indicators for hospital hygiene. Alternatively, these rates may vary between hospitals, because hospitals differ in ad
Externí odkaz:
https://doaj.org/article/004691b57a4144a29c1386a0596f763d
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, 2017, 13 (8), pp.e1005666. ⟨10.1371/journal.pcbi.1005666⟩
PLoS Computational Biology, Vol 13, Iss 8, p e1005666 (2017)
PLoS Computational Biology, Public Library of Science, 2017, 13 (8), pp.e1005666. ⟨10.1371/journal.pcbi.1005666⟩
PLoS Computational Biology, 2017, 13 (8), pp.e1005666. ⟨10.1371/journal.pcbi.1005666⟩
PLoS Computational Biology, Vol 13, Iss 8, p e1005666 (2017)
PLoS Computational Biology, Public Library of Science, 2017, 13 (8), pp.e1005666. ⟨10.1371/journal.pcbi.1005666⟩
Hospital-acquired infections (HAIs), including emerging multi-drug resistant organisms, threaten healthcare systems worldwide. Efficient containment measures of HAIs must mobilize the entire healthcare network. Thus, to best understand how to reduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b99fec425fca52455ad91eeee4c7538
https://hal.science/hal-01578692
https://hal.science/hal-01578692
Publikováno v:
2015 41st Annual Northeast Biomedical Engineering Conference (NEBEC).
Hospital acquired infections (HAIs) are a dangerous reality in modern medicine. Existing drugs become less effective as target microbes adapt to the drugs used to fight them. Dealing with this problem requires a multi-pronged approach of new drug dev
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 6, Iss 3, p e1000715 (2010)
PLoS Computational Biology, 6(3):e1000715. PUBLIC LIBRARY SCIENCE
PLoS Computational Biology, Vol 6, Iss 3, p e1000715 (2010)
PLoS Computational Biology, 6(3):e1000715. PUBLIC LIBRARY SCIENCE
Rates of hospital-acquired infections, such as methicillin-resistant Staphylococcus aureus (MRSA), are increasingly used as quality indicators for hospital hygiene. Alternatively, these rates may vary between hospitals, because hospitals differ in ad
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.