Cellular-level characterization of Dengue and Zika virus infection using multiagent simulation

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dc.creatorAlvarado, Andreína
dc.creatorCorrales Barquero, Ricardo
dc.creatorLeal, María José
dc.creatorde la Ossa Osagueda, Álvaro
dc.creatorMora Rodríguez, Rodrigo Mora
dc.creatorArroyo Portilla, Manuel Francisco
dc.creatorGómez Montero, Andrea
dc.creatorCalderón Castro, Alan
dc.creatorArias Arias, Jorge Luis
dc.date.accessioned2024-07-15T15:29:54Z
dc.date.available2024-07-15T15:29:54Z
dc.date.issued2018-09-13
dc.description.abstractIn this paper we present a computational model aimed at characterizing the Zika viral infection at a cellular level based on measurements done on viral Dulbecco plaques over time, and describe our current state of progress in the modeling task. So far we have developed an agent-based simulation model of the dispersion of the virus on the cells conforming the viral plaque. The growth rate of the viral plaques and the number of cells counted on each plaque were used to characterize the viral infection in terms of parameters related to the fate of infected cells, such as the probability of a cell infecting its neighboring cells and the probability of an infected cell of dying at any given moment. The model can be used to predict viral plaque growth patterns similar to those observed in the laboratory. Our current efforts focus on optimizing the model parameters to fit the experimental data. Further development of the model includes the description of viral infection kinetics of specific viral strains. Our model has been developed using the agent-based modeling language Netlogo.
dc.description.procedenceVicerrectoría de Docencia::Salud::Facultad de Microbiología
dc.description.procedenceVicerrectoría de Investigación::Unidades de Investigación::Ciencias de la Salud::Centro de Investigación en Enfermedades Tropicales (CIET)
dc.description.procedenceVicerrectoría de Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ciencias de la Computación e Informática
dc.identifier.citationhttps://ieeexplore.ieee.org/document/8464219
dc.identifier.doi10.1109/IWOBI.2018.8464219
dc.identifier.urihttps://hdl.handle.net/10669/91772
dc.language.isoeng
dc.rightsacceso restringido
dc.source2018 International Work Conference on Bioinspired Intelligence (IWOBI), 1-6. Institute of Electrical and Electronic Engineers
dc.subjectComputational modeling
dc.subjectViruses (medical)
dc.subjectBiological system modeling
dc.subjectData models
dc.subjectViruses
dc.subjectAutomata
dc.subjectDispersion
dc.subjectKinetic theory
dc.subjectAgent-based simulation
dc.subjectviral infection characterization
dc.subjectviral plaque growth
dc.subjectDengue
dc.subjectZika
dc.titleCellular-level characterization of Dengue and Zika virus infection using multiagent simulation
dc.typeactas de congreso

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Microbiología