On the COVID effect for OT-ICU systems

  • L.N. Bulder
  • , N.M. van Dijk

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

How does the COVID-19 pandemic influence the congestion probability of the ICU? In this paper two models are given to capture the interaction and effect of COVID to non-COVID patients at the ICU and its possible effect on postponed surgeries for a single hospital. Particularly a coordinate convex interdependence is allowed. So-called product form expressions are derived that can be used to compute Bt, the patient dependent congestion probabilities. It enables, as illustrated with real data, to calculate the congestion probabilities for the different patient types.

Original languageEnglish
Title of host publicationSOR'21 Proceedings
Subtitle of host publicationThe 16th International Symposium on Operational Research in Slovenia, September 22-24, 2021, Online
EditorsSamo Drobne, Lidija Zadnik Stirn, Mirjana Kljajic Borstnar, Janez Povh, Janez Zerovnik
Place of PublicationLjubljana
PublisherCroatian Operational Research Society
Pages268-275
Number of pages8
ISBN (Electronic)978-961-6165-57-0
Publication statusPublished - 2021
Event16th International Symposium on Operational Research in Slovenia, SOR 2021 - Virtual, Online
Duration: 22 Sept 202124 Sept 2021
Conference number: 16

Conference

Conference16th International Symposium on Operational Research in Slovenia, SOR 2021
Abbreviated titleSOR 2021
CityVirtual, Online
Period22/09/2124/09/21

Keywords

  • Coordinate convexity
  • COVID-19
  • Erlang loss model ·
  • Finite tandem queues
  • Intensive care units
  • Operating rooms

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