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icumonitoring.ch: a platform for short-term forecasting of intensive care unit occupancy during the COVID-19 epidemic in Switzerland.
Zhao, Cheng; Tepekule, Burcu; Criscuolo, Nicola G; Wendel Garcia, Pedro D; Hilty, Matthias P; Fumeaux, Thierry; Van Boeckel, Thomas.
  • Zhao C; Health Geography and Policy Group, ETH Zürich, Switzerland.
  • Tepekule B; University Hospital Zurich, Switzerland.
  • Criscuolo NG; Health Geography and Policy Group, ETH Zürich, Switzerland.
  • Wendel Garcia PD; Institute of Intensive Care Medicine, University Hospital of Zurich, Switzerland.
  • Hilty MP; Institute of Intensive Care Medicine, University Hospital of Zurich, Switzerland.
  • Risc-Icu Consortium Investigators In Switzerland; see manuscript.
  • Fumeaux T; Service de médecine et des soins intensifs, Hôpital de Nyon, Switzerland / President, Swiss Society of Intensive Care Medicine.
  • Van Boeckel T; Health Geography and Policy Group, ETH Zürich, Switzerland / Centre for Disease Dynamics Economics and Policy, New Delhi, India.
Swiss Med Wkly ; 150: w20277, 2020 05 04.
Article in English | MEDLINE | ID: covidwho-2217319
ABSTRACT
In Switzerland, the COVID-19 epidemic is progressively slowing down owing to “social distancingmeasures introduced by the Federal Council on 16 March 2020. However, the gradual ease of these measures may initiate a second epidemic wave, the length and intensity of which are difficult to anticipate. In this context, hospitals must prepare for a potential increase in intensive care unit (ICU) admissions of patients with acute respiratory distress syndrome. Here, we introduce icumonitoring.ch, a platform providing hospital-level projections for ICU occupancy. We combined current data on the number of beds and ventilators with canton-level projections of COVID-19 cases from two S-E-I-R models. We disaggregated epidemic projection in each hospital in Switzerland for the number of COVID-19 cases, hospitalisations, hospitalisations in ICU, and ventilators in use. The platform is updated every 3-4 days and can incorporate projections from other modelling teams to inform decision makers with a range of epidemic scenarios for future hospital occupancy.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Software / Ventilators, Mechanical / Coronavirus Infections / Pandemics / Forecasting / Health Planning / Hospital Bed Capacity / Intensive Care Units Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Swiss Med Wkly Journal subject: Medicine Year: 2020 Document Type: Article Affiliation country: SMW.2020.20277

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Software / Ventilators, Mechanical / Coronavirus Infections / Pandemics / Forecasting / Health Planning / Hospital Bed Capacity / Intensive Care Units Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Swiss Med Wkly Journal subject: Medicine Year: 2020 Document Type: Article Affiliation country: SMW.2020.20277