Fast screening framework for infection control scenario identification

Fast screening framework for infection control scenario identification

Due to the emergence of the novel coronavirus disease, many recent studies have investigated prediction methods for infectious disease transmission. This paper proposes a framework to quickly screen infection control scenarios and identify the most effective scheme for reducing the number of infecte...

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Bibliographic Details
Main Authors: Yohei Kakimoto, Yuto Omae, Jun Toyotani, Hirotaka Takahashi
Format: Article
Language:English
Published: AIMS Press 2022-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
fast screening framework
multi-agent system
support vector regression
infection control
identifying effective scheme
Online Access:http://www.aimspress.com/article/doi/10.3934/mbe.2022574?viewType=HTML

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