Exploring a targeted approach for public health capacity restrictions during COVID-19 using a new computational model.
Infect Dis Model
; 9(1): 234-244, 2024 Mar.
Article
in En
| MEDLINE
| ID: mdl-38303993
ABSTRACT
This work introduces the Queen's University Agent-Based Outbreak Outcome Model (QUABOOM). This tool is an agent-based Monte Carlo simulation for modelling epidemics and informing public health policy. We illustrate the use of the model by examining capacity restrictions during a lockdown. We find that public health measures should focus on the few locations where many people interact, such as grocery stores, rather than the many locations where few people interact, such as small businesses. We also discuss a case where the results of the simulation can be scaled to larger population sizes, thereby improving computational efficiency.
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Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
Infect Dis Model
Year:
2024
Document type:
Article
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