Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Matthäus Lottes"'
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background The spread of several severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) variants of concern (VOCs) has repeatedly led to increasing numbers of coronavirus disease 2019 (COVID-19) patients in German intensive care u
Externí odkaz:
https://doaj.org/article/057a080b03b442c4af8e7f0ab749e968
Publikováno v:
BMC Health Services Research, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Recent patent losses for antiretroviral drugs (ARV) have led to the debate of cost-saving through the replacement of patented drugs with generic drugs. The split of recommended single-tablet regimens (STR) into their single substa
Externí odkaz:
https://doaj.org/article/a74186cb31f0454c9d9364df4405b837
BackgroundThe spread of several SARS-CoV-2 variants of concern (VOC) led to increasing numbers of patients with coronavirus disease 2019 (COVID-19) in German intensive care units (ICU), resulting in capacity shortages and even transfers of COVID-19 I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cebfdd9ce7bd10c7f52df8118b51731e
https://doi.org/10.1101/2023.03.31.23287964
https://doi.org/10.1101/2023.03.31.23287964
Autor:
Marlon Grodd, Lukas Refisch, Fabian Lorenz, Martina Fischer, Matthäus Lottes, Maren Hackenberg, Clemens Kreutz, Linus Grabenhenrich, Harald Binder, Martin Wolkewitz
Publikováno v:
Medizinische Klinik - Intensivmedizin und Notfallmedizin. 118:125-131
Hintergrund: Zeitdynamische Prognosemodelle spielen eine zentrale Rolle zur Steuerung von intensivmedizinischen COVID-19-Kapazitäten im Pandemiegeschehen. Ein wichtiger Vorhersagewert (Prädiktor) für die zukünftige intensivmedizinische (ITS-)COVI
Autor:
Marlon, Grodd, Lukas, Refisch, Fabian, Lorenz, Martina, Fischer, Matthäus, Lottes, Maren, Hackenberg, Clemens, Kreutz, Linus, Grabenhenrich, Harald, Binder, Martin, Wolkewitz
Publikováno v:
Medizinische Klinik, Intensivmedizin und Notfallmedizin.
Time-series forecasting models play a central role in guiding intensive care coronavirus disease 2019 (COVID-19) bed capacity in a pandemic. A key predictor of future intensive care unit (ICU) COVID-19 bed occupancy is the number of new severe acute