Abstract
AbstractThe transmission dynamics of the coronavirus - COVID-19-have challenged humankind at almost every level. Currently, research groups around the globe are trying to figure out such transmission dynamics using different scientific and technological approaches. One of those is by using mathematical and computational models like the compartmental model or the agent-based models. In this paper, a general agent-based model, called INFEKTA, that combines the transmission dynamics of an infectious disease with agents (individuals) that can move on a complex network of accessible places defined over a Euclidean space representing a real town or city is proposed. The applicability of INFEKTA is shown by modeling the transmission dynamics of the COVID-19 in Bogotá city, the capital of Colombia.
Publisher
Cold Spring Harbor Laboratory
Reference29 articles.
1. Seven challenges for model-driven data collection in experimental and observational studies;Epidemics,2015
2. Escobar-Ospina ME , Gómez J. In: Shapshak P , Balaji S , Kangueane P , Chiappelli F , Somboonwit C , Menezes LJ , et al., editors. Artificial Life and Therapeutic Vaccines Against Cancers that Originate in Viruses. Cham: Springer International Publishing; 2019. p. 149–305.
3. Agent-based models in translational systems biology;WIREs Systems Biology and Medicine,2009
4. Meyers RA . Encyclopedia of Complexity and Systems Science. New York, NY: Springer; 2009.
5. Mitchell M , Newman M. In: Pagel M , editor. Complex Systems Theory and Evolution. Oxford University Press; 2005.
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