Skip to main navigation menu Skip to main content Skip to site footer

Original article

Vol. 150 No. 1920 (2020)

icumonitoring.ch : a platform for short-term forecasting of intensive care unit occupancy during the COVID-19 epidemic in Switzerland

  • Cheng Zhao
  • Burcu Tepekule
  • Nicola G. Criscuolo
  • Pedro D. Wendel Garcia
  • Matthias P. Hilty
  • RISC-19-ICU Investigators for Switzerland
  • Thierry Fumeaux
  • Thomas P. Van Boeckel
DOI
https://doi.org/10.4414/smw.2020.20277
Cite this as:
Swiss Med Wkly. 2020;150:w20277
Published
06.05.2020

Summary

In Switzerland, the COVID-19 epidemic is progressively slowing down owing to “social distancing” measures 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.

References

  1. openZH/covid_19 [Internet]. Specialist Unit for Open Government Data Canton of Zurich; 2020 [cited 2020 Apr 18]. Available from: https://github.com/openZH/covid_19
  2. Federal Council to gradually ease measures against the new coronavirus [Internet]. [cited 2020 Apr 18]. Available from: https://www.admin.ch/gov/en/start/documentation/media-releases/media-releases-federal-council.msg-id-78818.html
  3. Streeck H, Hartmann G, Exner M, Schmid M. Vorläufiges Ergebnis und Schlussfolgerungen der COVID-19 Case-Cluster-Study (Gemeinde Gangelt). University of Bonn. Available from: https://www.land.nrw/sites/default/files/asset/document/zwischenergebnis_covid19_case_study_gangelt_0.pdf
  4. COVID-19 Antibody Seroprevalence in Santa Clara County. California | medRxiv [Internet]. [cited 2020 Apr 18]. Available from: https://www.medrxiv.org/content/10.1101/2020.04.14.20062463v1
  5. Entwicklung des Mobilitätsverhaltens während der COVID-19-Krise [Internet]. [cited 2020 Apr 18]. Available from: https://statistik.zh.ch/internet/justiz_inneres/statistik/de/aktuell/mitteilungen/2020/covid_mobilitaetsverhalten.html
  6. Monitoring COVID-19 spread in Switzerland [Internet]. [cited 2020 Apr 18]. Available from: https://bsse.ethz.ch/cevo/research/sars-cov-2/real-time-monitoring-in-switzerland.html
  7. Lemaitre J, Perez-Saez J, Azman A, Rinaldo A, Fellay J. Switzerland COVID-19 Scenario Report. École Polytechnique Fédérale de Lausanne; 2020.
  8. Real-time modeling and projections of the COVID-19 epidemic in Switzerland [Internet]. [cited 2020 Apr 18]. Available from: https://ispmbern.github.io/covid-19/swiss-epidemic-model/
  9. COVID-19 Epidemic in Switzerland: Growth Prediction and Containment Strategy Using Artificial Intelligence and Big Data | medRxiv [Internet]. [cited 2020 Apr 18]. Available from: https://www.medrxiv.org/content/10.1101/2020.03.30.20047472v2
  10. Suisse romande: Les soins intensifs ne manquent pas de lits ‒ News Suisse: Suisse romande ‒ 24heures.ch [Internet]. [cited 2020 Apr 18]. Available from: https://www.24heures.ch/suisse/suisse-romande/soins-intensifs-manquent-lits/story/20067350
  11. Pelda K. L’armée mène une opération secrète pour importer des masques par millions. TDG [Internet]. 2020 Apr 15 [cited 2020 Apr 18]; Available from: https://www.tdg.ch/suisse/armee-mene-operation-secrete-importer-masques-millions/story/12405340
  12. Coronavirus: la Suisse mobilise l’armée. Le Temps [Internet]. 2020 Mar 16 [cited 2020 Apr 18]; Available from: https://www.letemps.ch/suisse/coronavirus-suisse-mobilise-larmee
  13. Houben RM, Van Boeckel TP, Mwinuka V, Mzumara P, Branson K, Linard C, et al. Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa--methods and results in Northern Malawi. Int J Health Geogr. 2012;11(1):49. doi:.https://doi.org/10.1186/1476-072X-11-49
  14. Macharia PM, Odera PA, Snow RW, Noor AM. Spatial models for the rational allocation of routinely distributed bed nets to public health facilities in Western Kenya. Malar J. 2017;16(1):367. doi:.https://doi.org/10.1186/s12936-017-2009-3
  15. Myers BA, Fisher RP, Nelson N, Belton S. Defining Remoteness from Health Care: Integrated Research on Accessing Emergency Maternal Care in Indonesia. AIMS Public Health. 2015;2(3):257–73. doi:.https://doi.org/10.3934/publichealth.2015.3.256
  16. Coronavirus: Federal Council declares ‘extraordinary situation’ and introduces more stringent measures [Internet]. [cited 2020 Apr 18]. Available from: https://www.admin.ch/gov/en/start/documentation/media-releases.msg-id-78454.html
  17. FOPH FO of PH. New coronavirus: Measures, ordinance and explanations [Internet]. [cited 2020 Apr 30]. Available from: https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/massnahmen-des-bundes.html
  18. Estimating the generation interval for COVID-19 based on symptom onset data | medRxiv [Internet]. [cited 2020 Apr 29]. Available from: https://www.medrxiv.org/content/10.1101/2020.03.05.20031815v1
  19. Report 9 ‒ Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand [Internet]. Imperial College London. [cited 2020 Apr 29]. Available from: http://www.imperial.ac.uk/medicine/departments/school-public-health/infectious-disease-epidemiology/mrc-global-infectious-disease-analysis/covid-19/report-9-impact-of-npis-on-covid-19/
  20. Estimates of the severity of coronavirus disease 2019: a model-based analysis ‒ The Lancet Infectious Diseases [Internet]. [cited 2020 Apr 29]. Available from: https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(20)30243-7/fulltext
  21. Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China | Nature Medicine [Internet]. [cited 2020 Apr 29]. Available from: https://www.nature.com/articles/s41591-020-0822-7
  22. Ganyani T, Kremer C, Chen D, Torneri A, Faes C, Wallinga J, et al. Estimating the generation interval for COVID-19 based on symptom onset data. medRxiv. 2020 Mar 8;2020.03.05.20031815.
  23. R Interface to Stan [Internet]. [cited 2020 May 3]. Available from: https://mc-stan.org/rstan/
  24. Weiss DJ, Nelson A, Gibson HS, Temperley W, Peedell S, Lieber A, et al. A global map of travel time to cities to assess inequalities in accessibility in 2015. Nature. 2018;553(7688):333–6. doi:.https://doi.org/10.1038/nature25181
  25. Shiny [Internet]. [cited 2020 Apr 18]. Available from: https://shiny.rstudio.com/
  26. R: The R Project for Statistical Computing [Internet]. [cited 2020 Apr 20]. Available from: https://www.r-project.org/
  27. Wynne A. Horrifying images show coronavirus patients in Madrid hospital [Internet]. Mail Online. 2020 [cited 2020 Apr 19]. Available from: https://www.dailymail.co.uk/news/article-8142013/Horrifying-images-coronavirus-patients-lying-floor-packed-Madrid-hospital.html
  28. Hume T. Coronavirus Has Northern Italy’s Hospitals on the Brink of Collapse [Internet]. Vice. 2020 [cited 2020 Apr 19]. Available from: https://www.vice.com/en_us/article/k7ex4a/coronavirus-has-northern-italys-hospitals-on-the-brink-of-collapse
  29. Keohane D. France’s TGV speeds Covid-19 patients to spare hospital beds [Internet]. 2020 [cited 2020 Apr 19]. Available from: https://www.ft.com/content/619bd7b0-7424-11ea-95fe-fcd274e920ca
  30. Coût de mesures d’urgence estimé à 35 milliards. TDG [Internet]. 2020 Jul 4 [cited 2020 Apr 19]; Available from: https://www.tdg.ch/economie/cout-mesures-urgence-estime-35-milliards/story/13977524
  31. Service d’appui : licenciement partiel du personnel sanitaire assorti de contraintes de disponibilité [Internet]. Swiss Armed Forces; 2020. Available from: https://www.vtg.admin.ch/fr/actualite/coronavirus.detail.news.html/vtg-internet/verwaltung/2020/20-04/20-04-17-arbeitgeberbrief_nr2.html
  32. Adjusted age-specific case fatality ratio during the COVID-19 epidemic in Hubei, China, January and February 2020 | medRxiv [Internet]. [cited 2020 Mar 21]. Available from: https://www.medrxiv.org/content/10.1101/2020.03.04.20031104v1
  33. Foss AM, Vickerman PT, Chalabi Z, Mayaud P, Alary M, Watts CH. Dynamic modeling of herpes simplex virus type-2 (HSV-2) transmission: issues in structural uncertainty. Bull Math Biol. 2009;71(3):720–49. doi:.https://doi.org/10.1007/s11538-008-9379-1
  34. Müller SA, Balmer M, Neumann A, Nagel K. Mobility traces and spreading of COVID-19. 2020 Mar 20 [cited 2020 Apr 30]; Available from: https://depositonce.tu-berlin.de/handle/11303/10945

Most read articles by the same author(s)