Epidemic threshold influenced by non-pharmaceutical interventions in residential university environments
Zechao Lu(卢泽超)1, Shengmei Zhao(赵生妹)1, Huazhong Shu(束华中)2, and Long-Yan Gong(巩龙延)2,†
1 Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing 210003, China; 2 College of Science, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Abstract The control of highly contagious disease spreading in campuses is a critical challenge. In residential universities, students attend classes according to a curriculum schedule, and mainly pack into classrooms, dining halls and dorms. They move from one place to another. To simulate such environments, we propose an agent-based susceptible-infected-recovered model with time-varying heterogeneous contact networks. In close environments, maintaining physical distancing is the most widely recommended and encouraged non-pharmaceutical intervention. It can be easily realized by using larger classrooms, adopting staggered dining hours, decreasing the number of students per dorm and so on. Their real-world influence remains uncertain. With numerical simulations, we obtain epidemic thresholds. The effect of such countermeasures on reducing the number of disease cases is also quantitatively evaluated.
(Computational methods in statistical physics and nonlinear dynamics)
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 61871234).
Corresponding Authors:
Long-Yan Gong
E-mail: lygong@njupt.edu.cn
Cite this article:
Zechao Lu(卢泽超), Shengmei Zhao(赵生妹), Huazhong Shu(束华中), and Long-Yan Gong(巩龙延) Epidemic threshold influenced by non-pharmaceutical interventions in residential university environments 2024 Chin. Phys. B 33 028707
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