Effect of Social Distancing on COVID-19 Infection Determined by a Multi-agent Simulation
Author:
Affiliation:
1. Graduate School of Sciences and Technology for Innovation, Tokushima University
Publisher
Research Institute of Signal Processing, Japan
Subject
General Energy
Link
https://www.jstage.jst.go.jp/article/jsp/26/6/26_189/_pdf
Reference5 articles.
1. [1] P. Tuppera, H. Bouryb, M. Yerlanova and C. Colijn: Event-specific interventions to minimize COVID-19 transmission, Proc. National Academy of Sciences of the United States of America, Vol. 117, No. 50, pp. 32038-32044, 2020.
2. [2] A. Drogoul and J. Ferber: Multi-agent simulation as a tool for modeling societies: Application to social differentiation in ant colonies, MAAMAW 1992. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence), Vol. 830, p. 2, July 2005.
3. [3] M. D’Arienzo and A. Coniglio: Assessment of the SARS-CoV-2 basic reproduction number, R0, based on the early phase of COVID-19 outbreak in Italy, Contents lists available at ScienceDirect Biosafety and Health, Vol. 2, Issue 2, pp. 57-59, June 2020.
4. [4] J. M. Carcione, J. E. Santos, C. Bagaini and J. Ba: A simulation of a COVID-19 epidemic based on a deterministic SEIR model, Frontiers in Public Health, Vol. 8, Article 230, pp. 4-12, May 2020.
5. [5] S. He, Y. Peng and K. Sun: SEIR modeling of the COVID-19 and its dynamics, Nonlinear Dynamics An International Journal of Nonlinear Dynamics and Chaos in Engineering Systems, Vol. 101, pp. 1667-1680, June 2020.
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