Search

Your search keyword '"Nguyen, Le-Khanh-Ngan"' showing total 15 results
Start Over Author "Nguyen, Le-Khanh-Ngan"
15 results on '"Nguyen, Le-Khanh-Ngan"'

1. Combining SD and ABM: Frameworks, Benefits, Challenges, and Future Research Directions

Author

Howick, Susan, Megiddo, Itamar, Nguyen, Le Khanh Ngan, Wurth, Bernd, Kazakov, Rossen, Tolk, Andreas, Series Editor, Castro, Rodrigo, Advisory Editor, Lehmann, Axel, Advisory Editor, Robinson, Stewart, Advisory Editor, Szabo, Claudia, Advisory Editor, Traoré, Mamadou Kaba, Advisory Editor, Zeigler, Bernard P., Advisory Editor, Zhang, Lin, Advisory Editor, Karlsruhe Institute of Technology, Sanja, Advisory Editor, Fakhimi, Masoud, editor, and Mustafee, Navonil, editor

Published
2024
Full Text
View/download PDF

3. Hybrid health systems simulation modelling : controlling Covid-19 infections in care homes

Author

Nguyen, Le Khanh Ngan, Howick, Susan, and Megiddo, Itamar

Abstract

Although healthcare-associated infections have caused significant burdens in care homes, the evidence for controlling infection spread in this setting is extremely limited, and the Coronavirus disease 2019 (COVID-19) pandemic highlights this limitation. Plenty of evidence exists for controlling infection in hospitals and especially in ICU settings, but care homes are unique in that they are a home rather than purely a health facility. The understanding of how a care home interacts with other care homes and the resulting transmission dynamics within and between homes is also incomplete. This research addresses these issues by combining system dynamics (SD) and agent-based modelling (ABM) to capture the complexity of the transmission dynamics of COVID-19 within a care home and across a heterogeneous network of care homes. Various approaches adapted from both SD and ABM practices are used to build confidence in the models. This research makes several theoretical, methodological, empirical, and practical contributions. The theoretical contributions to the infectious disease dynamics and modelling fields include the conceptualization of the care home environment with characteristics important for infection control that provides a basis for future research and the development of a multi-layer simulation that can be tailored and applied in different contexts. From a methodological perspective, this research contributes to the modelling and simulation field by proposing a detailed and practical framework for developing a conceptual hybrid simulation model, describing new practices for modelling interfaces between SD and ABM modules, and demonstrating the confidence-building approaches for a hybrid model. Lastly, this research makes two empirical contributions. This research helps understand the transmission dynamics of COVID-19 and the relative impact of interventions that mitigate the spread of COVID-19 within and across care homes. It has been instrumental for policymakers in making evidence-informed decisions and policies during the COVID-19 pandemic. Opportunities for future research are proposed.

Published
2022
Full Text
View/download PDF

9. Evaluating intervention strategies in controlling COVID-19 spread in care homes : an agent-based model

Author

Nguyen, Le Khanh Ngan, Howick, Susan, McLafferty, Dennis, Anderson, Gillian Hopkins, Pravinkumar, Josephine, Van Der Meer, Robert, and Megiddo, Itamar

Subjects
QR355
Abstract

Background: Care homes are vulnerable to widespread transmission of COVID-19 with poor outcomes for staff and residents. Infection control interventions in care homes need to not only be effective in containing the spread of COVID-19 but also feasible to implement in this special setting which is both a healthcare institution and a home. Methods: We developed an agent-based model that simulates the transmission dynamics of COVID-19 via contacts between individuals, including residents, staff members, and visitors in a care home setting. We explored a representative care home in Scotland in our base case and explore other care home setups in an uncertainty analysis. We evaluated the effectiveness of a range of intervention strategies in controlling the spread of COVID-19. Results: In the presence of the reference interventions that have been implemented in many care homes, including testing of new admissions, isolation of symptomatic residents, and restricted public visiting, routine testing of staff appears to be the most effective and practical approach. Routine testing of residents is no more effective as a reference strategy while routine testing of both staff and residents only shows a negligible additive effect. Modelling results are very sensitive to transmission probability per contact, but the qualitative finding is robust to varying parameter values in our uncertainty analysis. Conclusions: Our model predictions suggest that routine testing should target staff in care homes in conjunction with adherence to strict hand hygiene and using personal protective equipment to reduce risk of transmission per contact.

Published
2020

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

Author

Nguyen, Le Khanh Ngan, Megiddo, Itamar, and Howick, Susan

Subjects
*CROSS infection prevention, *LENGTH of stay in hospitals, *MORTALITY, *PREVENTION of communicable diseases, *PUBLIC health, *DISEASES, *DECISION making
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. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results