P systems in the time of COVID-19

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 developed under the paradigm of membrane computing using transition P systems with com...

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Detalles Bibliográficos
Autores principales: Baquero, Fernando, Campos, Marcelino, Llorens, Carlos, Sempere, José M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Regular Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555730/
http://dx.doi.org/10.1007/s41965-021-00083-1
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author Baquero, Fernando
Campos, Marcelino
Llorens, Carlos
Sempere, José M.
author_facet Baquero, Fernando
Campos, Marcelino
Llorens, Carlos
Sempere, José M.
author_sort Baquero, Fernando
collection PubMed
description 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 developed under the paradigm of membrane computing using transition P systems with communication rules, active membranes and a stochastic simulator engine. In this paper we detail the main components of the system and we report some examples of epidemiological scenarios evaluated with LOIMOS.
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spelling pubmed-85557302021-11-01 P systems in the time of COVID-19 Baquero, Fernando Campos, Marcelino Llorens, Carlos Sempere, José M. J Membr Comput Regular Paper 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 developed under the paradigm of membrane computing using transition P systems with communication rules, active membranes and a stochastic simulator engine. In this paper we detail the main components of the system and we report some examples of epidemiological scenarios evaluated with LOIMOS. Springer Singapore 2021-10-29 2021 /pmc/articles/PMC8555730/ http://dx.doi.org/10.1007/s41965-021-00083-1 Text en © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Regular Paper
Baquero, Fernando
Campos, Marcelino
Llorens, Carlos
Sempere, José M.
P systems in the time of COVID-19
title P systems in the time of COVID-19
title_full P systems in the time of COVID-19
title_fullStr P systems in the time of COVID-19
title_full_unstemmed P systems in the time of COVID-19
title_short P systems in the time of COVID-19
title_sort p systems in the time of covid-19
topic Regular Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555730/
http://dx.doi.org/10.1007/s41965-021-00083-1
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