TY - GEN
T1 - Multi-Agent Modelling and Simulation of Hospital Acquired Infection Propagation Dynamics by Contact Transmission in Hospital Wards
AU - Esposito, Dario
AU - Schaumann, Davide
AU - Camarda, Domenico
AU - Kalay, Yehuda E.
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Hospital-acquired infections (HAI) are recognized worldwide as a major threat to hospital users. In this study, we present the Multi-Agent modelling and simulation of HAI propagation dynamics through exogenous cross-infection by a contact transmission route in a hospital ward. The model relies on the Event Based Modelling and Simulation approach. It is meant to deal with a wide range of pathogen types and scenarios of their spread within a hospital environment, which can be extended to integrate relevant emerging factors in the dynamic evolution of HAIs. The Agent-Based application was validated through a virtual simulation of a case study built in a Unity 3D environment, which generates a real time infection risk map. The simulation represents the building and its users in the situation of HAI risk in a coherent and dynamic system. It allows for the visualization of contamination propagation due to human spatial behaviour and activities. The case study was tested through a what-if scenario, allowing for the real-time visualization of transmission and assessing the effectiveness of different prevention and control measures on pathogen propagation. Of further interest was an understanding of the influences of architectural design and space distribution.
AB - Hospital-acquired infections (HAI) are recognized worldwide as a major threat to hospital users. In this study, we present the Multi-Agent modelling and simulation of HAI propagation dynamics through exogenous cross-infection by a contact transmission route in a hospital ward. The model relies on the Event Based Modelling and Simulation approach. It is meant to deal with a wide range of pathogen types and scenarios of their spread within a hospital environment, which can be extended to integrate relevant emerging factors in the dynamic evolution of HAIs. The Agent-Based application was validated through a virtual simulation of a case study built in a Unity 3D environment, which generates a real time infection risk map. The simulation represents the building and its users in the situation of HAI risk in a coherent and dynamic system. It allows for the visualization of contamination propagation due to human spatial behaviour and activities. The case study was tested through a what-if scenario, allowing for the real-time visualization of transmission and assessing the effectiveness of different prevention and control measures on pathogen propagation. Of further interest was an understanding of the influences of architectural design and space distribution.
KW - Decision Support System
KW - Hospital Acquired Infection
KW - Multi-Agent simulation
UR - http://www.scopus.com/inward/record.url?scp=85088563428&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-49778-1_10
DO - 10.1007/978-3-030-49778-1_10
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AN - SCOPUS:85088563428
SN - 9783030497774
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 118
EP - 133
BT - Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection - 18th International Conference, PAAMS 2020, Proceedings
A2 - Demazeau, Yves
A2 - Holvoet, Tom
A2 - Corchado, Juan M.
A2 - Costantini, Stefania
T2 - 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2020
Y2 - 7 October 2020 through 9 October 2020
ER -