Zobrazeno 1 - 5
of 5
pro vyhledávání: '"ASHLEIGH MYALL"'
Autor:
Mohamed Abbas, Anne Cori, Samuel Cordey, Florian Laubscher, Tomás Robalo Nunes, Ashleigh Myall, Julien Salamun, Philippe Huber, Dina Zekry, Virginie Prendki, Anne Iten, Laure Vieux, Valérie Sauvan, Christophe E Graf, Stephan Harbarth
Publikováno v:
eLife, Vol 11 (2022)
Background: There is ongoing uncertainty regarding transmission chains and the respective roles of healthcare workers (HCWs) and elderly patients in nosocomial outbreaks of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in geriatric set
Externí odkaz:
https://doaj.org/article/df400826163d474880b141fc8afddd6c
Autor:
Mohamed Abbas, Anne Cori, Samuel Cordey, Florian Laubscher, Tomás Robalo Nunes, Ashleigh Myall, Julien Salamun, Philippe Huber, Dina Zekry, Virginie Prendki, Anne Iten, Laure Vieux, Valérie Sauvan, Christophe E Graf, Stephan Harbarth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2638c2c0a3b13e755fa2ddfb3493dcc
https://doi.org/10.7554/elife.76854.sa2
https://doi.org/10.7554/elife.76854.sa2
Japanese encephalitis virus (JEV) is a mosquito-borne flavivirus, and leading cause of neurological infection in Asia and the Pacific, with recent emergence in multiple territories in Australia in 2022. Patients may experience devastating socioeconom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6b1f02f221572e41230716c867a331c
https://doi.org/10.1101/2022.06.19.496758
https://doi.org/10.1101/2022.06.19.496758
Autor:
Ashleigh Myall, James R Price, Robert L Peach, Mohamed Abbas, Sid Mookerjee, Nina Zhu, Isa Ahmad, Damien Ming, Farzan Ramzan, Daniel Teixeira, Christophe Graf, Andrea Y Weiße, Stephan Harbarth, Alison Holmes, Mauricio Barahona
Publikováno v:
e583
e573
Myall, A, Price, J R, Peach, R L, Abbas, M, Mookerjee, S, Zhu, N, Ahmad, I, Ming, D, Ramzan, F, Teixeira, D, Graf, C, Weiße, A Y, Harbarth, S, Holmes, A & Barahona, M 2022, ' Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact : an international retrospective cohort study ', The Lancet Digital Health, vol. 4, no. 8, pp. e573-e583 . https://doi.org/10.1016/S2589-7500(22)00093-0
e573
Myall, A, Price, J R, Peach, R L, Abbas, M, Mookerjee, S, Zhu, N, Ahmad, I, Ming, D, Ramzan, F, Teixeira, D, Graf, C, Weiße, A Y, Harbarth, S, Holmes, A & Barahona, M 2022, ' Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact : an international retrospective cohort study ', The Lancet Digital Health, vol. 4, no. 8, pp. e573-e583 . https://doi.org/10.1016/S2589-7500(22)00093-0
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, tes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74b34954491e68db52556571811e0e24
http://hdl.handle.net/10044/1/96620
http://hdl.handle.net/10044/1/96620
Autor:
Mohamed Abbas, Anne Cori, Samuel Cordey, Florian Laubscher, Tomás Robalo Nunes, Ashleigh Myall, Julien Salamun, Philippe Huber, Dina Zekry, Virginie Prendki, Anne Iten, Laure Vieux, Valérie Sauvan, Christophe E. Graf, Stephan Harbarth
BackgroundThere is ongoing uncertainty regarding transmission chains and the respective roles of healthcare workers (HCWs) and elderly patients in nosocomial outbreaks of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in geriatric setti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::382701b64bfa73d4ede613c2ad7cf312
https://doi.org/10.1101/2022.01.07.22268729
https://doi.org/10.1101/2022.01.07.22268729