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P systems in the time of COVID-19

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P systems in the time of COVID-19

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Baquero, F.; Campos Frances, M.; Llorens, C.; Sempere Luna, JM. (2021). P systems in the time of COVID-19. Journal of Membrane Computing. 3(4):246-257. https://doi.org/10.1007/s41965-021-00083-1

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Título: P systems in the time of COVID-19
Autor: Baquero, Fernando Campos Frances, Marcelino Llorens, Carlos Sempere Luna, José María
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
[EN] In this paper, we present LOIMOS, which is an epidemiological scenario simulator developed in the context of the fight against the pandemic caused by coronavirus SARS-CoV-2 on a global scale. LOIMOS has been fully ...[+]
Palabras clave: P systems , Active membranes , Communication rules , Stochastic simulation , Epidemiological simulators
Derechos de uso: Reserva de todos los derechos
Fuente:
Journal of Membrane Computing. (issn: 2523-8906 )
DOI: 10.1007/s41965-021-00083-1
Editorial:
Springer
Versión del editor: https://doi.org/10.1007/s41965-021-00083-1
Código del Proyecto:
info:eu-repo/grantAgreement/EC/H2020/952215/EU/
info:eu-repo/grantAgreement/ISCIII//COV20_00067/
Agradecimientos:
This work has been developed with the financial support of the Ministerio de Ciencia e Innovacion and Instituto de Salud Carlos III, Grant COV20_00067, and the European Union's Horizon 2020 research and innovation programme ...[+]
Tipo: Artículo

References

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Baquero, F., Campos, M., Llorens, C. & Sempere J. M. (2018). A model of antibiotic resistance evolution dynamics through P systems with active membranes and communication rule. In Enjoying Natural Computing: Essays Dedicated to Mario de Jesús Pérez-Jiménez on the Occasion of His 70th Birthday, pp. 33–44. Springer.

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