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• W4311541024 abstract "Abstract This work introduces the Queen’s University Agent-Based Outbreak Outcome Model (QUABOOM), a new, data-driven, agent-based Monte Carlo simulation for modelling epidemics and informing public health policy in a wide range of population sizes. We demonstrate how the model can be used to quantitatively inform capacity restrictions for COVID-19 to reduce their impact on small businesses by showing that public health measures should target few locations where many individuals interact rather than many locations where few individuals interact. We introduce a new method for the calculation of the basic reproduction rate that can be applied to low statistics data such as small outbreaks. A novel parameter to quantify the number of interactions in the simulations is introduced which allows our agent-based model to be run using small population sizes and interpreted for larger populations, thereby improving computational efficiency." @default.
• W4311541024 created "2022-12-27" @default.
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• W4311541024 date "2022-11-29" @default.
• W4311541024 modified "2023-10-15" @default.
• W4311541024 title "Exploring a targeted approach for public health capacity restrictions during COVID-19 using a new computational model" @default.
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• W4311541024 doi "https://doi.org/10.1101/2022.11.28.22282818" @default.
• W4311541024 hasPublicationYear "2022" @default.
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