Hierarchical agent-based MRSA transmission simulation model of university classrooms for risk assessment: mobility, contact, and cleaning

Y. Chen et al.

International Journal of Risk Assessment and Management2023https://doi.org/10.1504/ijram.2023.139017article
ABDC C
Weight
0.26

What the paper says

Methicillin-resistant Staphylococcus aureus (MRSA) is a bacterium capable of triggering infections that range from minor to life-threatening. Surface hygiene is crucial to prevent MRSA transmission, especially in public places such as schools and university campuses where large numbers of people congregate and routinely contact shared surfaces. The current study developed hierarchical agent-based models that simulated human-behaviour-based characteristics, MRSA transmission dynamics, and student interactions in the university classroom settings. The micro-scale model focused on individual touch behaviours and other environmental factors influencing the transfer rate. The macro-scale level included cleaning and class schedules scenarios to inform policy. The models allow for the manipulation of critical components of MRSA transmission at the individual and classroom level. Results demonstrate the importance of hand sanitiser and twice weekly surface cleanings to control transmission rates. This study advances facilities and health management capacities by highlighting robust quantitative relationships among micro-activities, contamination levels, and infection risks.

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https://doi.org/https://doi.org/10.1504/ijram.2023.139017

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@article{y.2023,
  title        = {{Hierarchical agent-based MRSA transmission simulation model of university classrooms for risk assessment: mobility, contact, and cleaning}},
  author       = {Y. Chen et al.},
  journal      = {International Journal of Risk Assessment and Management},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.1504/ijram.2023.139017},
}

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Evidence weight

0.26

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.20 × 0.15 = 0.03
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.