Studying COVID-19 Spread Using a Geography Based Cellular Model
Author:
Affiliation:
1. Carleton University,Department of Systems and Computer Engineering,Ottawa,ON,CANADA,K1S 5B6
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9715283/9715284/09715520.pdf?arnumber=9715520
Reference19 articles.
1. A Contribution to the Mathematical Theory of Epidemics;kermack;Proceedings of the Royal Society of London A,0
2. Incubation period of COVID-19: a rapid systematic review and meta-analysis of observational research
3. Numerical simulation of the novel coronavirus spreading
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Seaird Model to Simulate the Impact of Human Behaviors;2023 Winter Simulation Conference (WSC);2023-12-10
2. A methodological approach for modeling the spread of disease using geographical discrete-event spatial models;SIMULATION;2023-02-14
3. Geographical Sevird Covid-19 Model With Travel Restrictions;2022 Annual Modeling and Simulation Conference (ANNSIM);2022-07-18
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