dor_id: 4107188

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la Revista Mexicana de Física se someten a un estricto proceso de revisión llevado a cabo por árbitros anónimos, independientes y especializados en todo el mundo.

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT), Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex), Scientific Electronic Library Online (SciELO), SCOPUS, Web Of Science (WoS)

561.#.#.u: http://www.fciencias.unam.mx/

650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

336.#.#.b: info:eu-repo/semantics/article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://rmf.smf.mx/ojs/rmf/index

351.#.#.b: Revista Mexicana de Física

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: http://www.revistas.unam.mx/front/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: http://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial, UNAM

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://rmf.smf.mx/ojs/rmf/article/view/Vol.%2066%2C%20issue%204%2C%20pp.%20516-524/4857; https://rmf.smf.mx/ojs/rmf/article/downloadSuppFile/Vol.%2066%2C%20issue%204%2C%20pp.%20516-524/834

100.1.#.a: Yamamoto Elizalde, A. Y.; Hernández Lemus, E.; de Anda Jáuregui.

100.1.#.u: NA

524.#.#.a: Yamamoto Elizalde, A. Y., et al. (2020). Diffusion processes in multilayer transportation networks: the flight of the Coronavirus. Revista Mexicana de Física; Vol 66, No 4 Jul-Aug: 516-524. Recuperado de https://repositorio.unam.mx/contenidos/4107188

245.1.0.a: Diffusion processes in multilayer transportation networks: the flight of the Coronavirus

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Facultad de Ciencias, UNAM

264.#.0.c: 2020

264.#.1.c: 2020-07-01

653.#.#.a: COVID19; random walks; multiplex networks; multilayer networks; air transportation network

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-ND 4.0 Internacional, https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es, fecha de asignación de la licencia 2020-07-01, para un uso diferente consultar al responsable jurídico del repositorio por medio de rmf@ciencias.unam.mx

884.#.#.k: https://rmf.smf.mx/ojs/rmf/article/view/Vol.%2066%2C%20issue%204%2C%20pp.%20516-524

001.#.#.#: oai:ojs.rmf.smf.mx:article/5134

041.#.7.h: eng

520.3.#.a: At the end of December of 2019, a new type of coronavirus, now called COVID-19 started spreading in Wuhan, China and later throughout the world. Due to the global emergency state the World Health Organization declared and the need to know more about the danger Mexico is in, we worked on analyzing the risk of the COVID-19 importation to Mexico through the Air Transportation Network with a multilayer network approach. Based on the data obtained from the public data bases of OpenFlights, we created a multiplex network in which nodes represented airports, flights represented links, and airlines represented layers. We then simulated the propagation of the coronavirus using an unbiased random walk model with probability p=1 of infection once the random walker steps in a certain airport. We found the COVID-19 spread behavior the first month is anomalous (subdiffusion) and later behaves as a normal diffusion. We also found the risk of importing the virus to Mexico increases linearly over time and after approximately one year, there is almost a 90% probability of being infected. However, it is important to mention this high risk is due to contagions by people from other countries (not China) which have already confirmed cases of coronavirus. We concluded the risk of importing the COVID-19 to Mexico is almost ineludible over time unless effective medical interventions are imposed.

773.1.#.t: Revista Mexicana de Física; Vol 66, No 4 Jul-Aug (2020): 516-524

773.1.#.o: https://rmf.smf.mx/ojs/rmf/index

046.#.#.j: 2020-11-25 00:00:00.000000

022.#.#.a: 2683-2224 (digital); 0035-001X (impresa)

310.#.#.a: Bimestral

264.#.1.b: Sociedad Mexicana de Física, A.C.

758.#.#.1: https://rmf.smf.mx/ojs/rmf/index

doi: https://doi.org/10.31349/RevMexFis.66.516

handle: 7762cc436c21dbc3

harvesting_date: 2020-09-23 00:00:00.0

856.#.0.q: application/pdf

last_modified: 2020-11-27 00:00:00

license_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es

license_type: by-nc-nd

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Artículo

Diffusion processes in multilayer transportation networks: the flight of the Coronavirus

Yamamoto Elizalde, A. Y.; Hernández Lemus, E.; de Anda Jáuregui.

Facultad de Ciencias, UNAM, publicado en Revista Mexicana de Física, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Facultad de Ciencias, UNAM
Revista
Repositorio
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Yamamoto Elizalde, A. Y., et al. (2020). Diffusion processes in multilayer transportation networks: the flight of the Coronavirus. Revista Mexicana de Física; Vol 66, No 4 Jul-Aug: 516-524. Recuperado de https://repositorio.unam.mx/contenidos/4107188

Descripción del recurso

Autor(es)
Yamamoto Elizalde, A. Y.; Hernández Lemus, E.; de Anda Jáuregui.
Adscripción del autor
NA
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Diffusion processes in multilayer transportation networks: the flight of the Coronavirus
Fecha
2020-07-01
Resumen
At the end of December of 2019, a new type of coronavirus, now called COVID-19 started spreading in Wuhan, China and later throughout the world. Due to the global emergency state the World Health Organization declared and the need to know more about the danger Mexico is in, we worked on analyzing the risk of the COVID-19 importation to Mexico through the Air Transportation Network with a multilayer network approach. Based on the data obtained from the public data bases of OpenFlights, we created a multiplex network in which nodes represented airports, flights represented links, and airlines represented layers. We then simulated the propagation of the coronavirus using an unbiased random walk model with probability p=1 of infection once the random walker steps in a certain airport. We found the COVID-19 spread behavior the first month is anomalous (subdiffusion) and later behaves as a normal diffusion. We also found the risk of importing the virus to Mexico increases linearly over time and after approximately one year, there is almost a 90% probability of being infected. However, it is important to mention this high risk is due to contagions by people from other countries (not China) which have already confirmed cases of coronavirus. We concluded the risk of importing the COVID-19 to Mexico is almost ineludible over time unless effective medical interventions are imposed.
Tema
COVID19; random walks; multiplex networks; multilayer networks; air transportation network
Idioma
eng
ISSN
2683-2224 (digital); 0035-001X (impresa)

Enlaces