Hybrid simulation for modelling healthcare-associated infections: promising but challenging

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Healthcare-Associated Infections (HAIs) are a major public health problem as they pose a serious risk for patients and providers, increasing morbidity, mortality, and length of stay as well as costs to patients and the health system. Prevention and control of HAIs has, therefore, become a priority for most healthcare systems. Systems simulation models have provided insights into the dynamics of HAIs and help to evaluate the effect of infection control interventions. However, as each systems simulation modeling method has strengths and limitations, combining these methods in hybrid models can offer a better tool to gain complementary views on, and deeper insights into, HAIs. Hybrid models can, therefore, assist decision-making at different levels of management, and provide a balance between simulation performance and result accuracy. This paper discusses these benefits in more depth but also highlights some challenges associated with the use of hybrid simulation models for modeling HAIs.
Original languageEnglish
JournalClinical Infectious Diseases
Early online date31 Aug 2020
Publication statusE-pub ahead of print - 31 Aug 2020


  • healthcare associated infections
  • hybrid simulations
  • simulation modelling
  • decision making
  • infectious disease prevention


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