Literature DB >> 32866226

Hybrid Simulation for Modeling Healthcare-associated Infections: Promising But Challenging.

Le Khanh Ngan Nguyen1, Itamar Megiddo1, Susan Howick1.   

Abstract

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 report discusses these benefits in more depth but also highlights some challenges associated with the use of hybrid simulation models for modeling HAIs.
© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  healthcare-associated infections; hybrid simulations; simulation modeling

Mesh:

Year:  2021        PMID: 32866226     DOI: 10.1093/cid/ciaa1276

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  2 in total

1.  Hybrid simulation modelling of networks of heterogeneous care homes and the inter-facility spread of Covid-19 by sharing staff.

Authors:  Le Khanh Ngan Nguyen; Itamar Megiddo; Susan Howick
Journal:  PLoS Comput Biol       Date:  2022-01-12       Impact factor: 4.475

2.  Examining the impact of ICU population interaction structure on modeled colonization dynamics of Staphylococcus aureus.

Authors:  Matthew S Mietchen; Christopher T Short; Matthew Samore; Eric T Lofgren
Journal:  PLoS Comput Biol       Date:  2022-07-25       Impact factor: 4.779

  2 in total

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