Analyzing Resilience of Healthcare Systems with COVID-19 Case Study

Jannatul Shefa, Tanzina Afrin, Nita Yodo, Lucy Aragon

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


The recent COVID-19 has posed unprecedented challenges in many aspects of societal welfare, especially in healthcare systems. While resilience is a core concept in disaster risk reduction in other engineering and systems disciplines, its application to healthcare systems is relatively recent. In healthcare systems, resilience has been sparsely explored without widely adopted metrics in place. Although there are some suggested frameworks to analyze resilience, the methods of calculating resilience value are still obscure. This research will review and explore the resilience framework and metrics from other fields and assess their fitness for use in healthcare systems. The resilience property of healthcare systems will be analyzed for the State of North Dakota in the United States based on the COVID-19 data from the Centers for Disease Control and Prevention (CDC). The proposed resilience value is quantified from different factors such as the number of positive cases, deaths, ICU admittance, and hospitalizations in use. A case study incorporating this information to obtain a resilience value will be presented. Analyzing healthcare system resilience can aid in helping decision-makers to plan for better mitigation strategies geared toward current and future pandemic catastrophes.

Original languageEnglish
Title of host publicationIISE Annual Conference and Expo 2022
EditorsK. Ellis, W. Ferrell, J. Knapp
PublisherInstitute of Industrial and Systems Engineers, IISE
ISBN (Electronic)9781713858072
StatePublished - 2022
EventIISE Annual Conference and Expo 2022 - Seattle, United States
Duration: 21 May 202224 May 2022

Publication series

NameIISE Annual Conference and Expo 2022


ConferenceIISE Annual Conference and Expo 2022
Country/TerritoryUnited States


  • COVID-19
  • Healthcare
  • Metrics
  • Pandemic
  • Resilience
  • System


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