Simulación en tiempos de pandemia

Vista sencilla de ítem
dc.contributor.authorCeballos, Yony Fernando
dc.date.accessioned2024-09-10T22:12:23Z
dc.date.available2024-09-10T22:12:23Z
dc.date.issued2021-06-01
dc.format.mimetypeapplication/pdfspa
dc.identifier.doihttps://doi.org/10.29375/25392115.4154
dc.identifier.instnameinstname:Universidad Autónoma de Bucaramanga UNABspa
dc.identifier.issnISSN: 1657-2831spa
dc.identifier.issne-ISSN: 2539-2115spa
dc.identifier.repourlrepourl:https://repository.unab.edu.cospa
dc.identifier.urihttp://hdl.handle.net/20.500.12749/26463
dc.language.isospaspa
dc.publisherUniversidad Autónoma de Bucaramanga UNABspa
dc.relationhttps://revistas.unab.edu.co/index.php/rcc/article/view/4154/3407spa
dc.relation.referencesAraya, F. (2021). Modeling the spread of COVID-19 on construction workers: An agent-based approach. Safety Science, 133, 105022. https://doi.org/10.1016/j.ssci.2020.105022
dc.relation.referencesBertoglio, N., Lamperti, G., Zanella, M., & Zhao, X. (2020). Temporal-Fault Diagnosis for Critical-Decision Making in Discrete-Event Systems. Procedia Computer Science, 176, 521–530. https://doi.org/10.1016/j.procs.2020.08.054
dc.relation.referencesCuadros, D. F., Branscum, A. J., Mukandavire, Z., Miller, F. D., & MacKinnon, N. (2021). Dynamics of the COVID- 19 epidemic in urban and rural areas in the United States. Annals of Epidemiology, 59, 16–20. https://doi.org/10.1016/j.annepidem.2021.04.007
dc.relation.referencesCuevas, E. (2020). An agent-based model to evaluate the COVID-19 transmission risks in facilities. Computers in Biology and Medicine, 121, 103827. https://doi.org/10.1016/j.compbiomed.2020.103827
dc.relation.referencesDas, A. (2020). Impact of the COVID-19 pandemic on the workflow of an ambulatory endoscopy center: an assessment by discrete event simulation. Gastrointestinal Endoscopy, 92(4), 914–924. https://doi.org/10.1016/j.gie.2020.06.008
dc.relation.referencesFair, J. M., LeClaire, R. J., Dauelsberg, L. R., Ewers, M., Pasqualini, D., Cleland, T., & Rosenberger, W. (2021). Systems dynamics and the uncertainties of diagnostics, testing and contact tracing for COVID-19. Methods. https://doi.org/10.1016/j.ymeth.2021.03.008
dc.relation.referencesIbarra-Vega, D. (2020). Lockdown, one, two, none, or smart. Modeling containing covid-19 infection. A conceptual model. Science of The Total Environment, 730, 138917. https://doi.org/10.1016/j.scitotenv.2020.138917
dc.relation.referencesKierzkowski, A., & Kisiel, T. (2020). Simulation model of security control lane operation in the state of the COVID- 19 epidemic. Journal of Air Transport Management, 88, 101868. https://doi.org/10.1016/j.jairtraman.2020.101868
dc.relation.referencesKontogiannis, T. (2021). A qualitative model of patterns of resilience and vulnerability in responding to a pandemic outbreak with system dynamics. Safety Science, 134, 105077. https://doi.org/10.1016/j.ssci.2020.105077
dc.relation.referencesLim, C. Y., Bohn, M. K., Lippi, G., Ferrari, M., Loh, T. P., Yuen, K.-Y., Adeli, K., & Horvath, A. R. (2020). Staff rostering, split team arrangement, social distancing (physical distancing) and use of personal protective equipment to minimize risk of workplace transmission during the COVID-19 pandemic: A simulation study. Clinical Biochemistry, 86, 15–22. https://doi.org/10.1016/j.clinbiochem.2020.09.003
dc.relation.referencesSilva, P. C. L., Batista, P. V. C., Lima, H. S., Alves, M. A., Guimarães, F. G., & Silva, R. C. P. (2020). COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions. Chaos, Solitons & Fractals, 139, 110088. https://doi.org/10.1016/j.chaos.2020.110088
dc.relation.referencesTatapudi, H., Das, R., & Das, T. K. (2020). Impact assessment of full and partial stay-at-home orders, face mask usage, and contact tracing: An agent-based simulation study of COVID-19 for an urban region. Global Epidemiology, 2, 100036. https://doi.org/10.1016/j.gloepi.2020.100036
dc.relation.urihttps://revistas.unab.edu.co/index.php/rcc/issue/view/273spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.sourceVol. 22 Núm. 1 (2021): Revista Colombiana de Computación (Enero-Junio); 56-57spa
dc.subjectSimulaciónspa
dc.subjectPandemiaspa
dc.subjectComputaciónspa
dc.subjectTecnologíasspa
dc.subject.keywordsSimulationeng
dc.subject.keywordsPandemiceng
dc.subject.keywordsComputingeng
dc.subject.keywordsTechnologieseng
dc.titleSimulación en tiempos de pandemiaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.driverinfo:eu-repo/semantics/article
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.type.localArtículospa
dc.type.redcolhttp://purl.org/redcol/resource_type/ART

Archivos

Bloque original

Mostrando 1 - 1 de 1
Miniatura
Nombre:
Artículo.pdf
Tamaño:
134.22 KB
Formato:
Adobe Portable Document Format
Descripción:
Artículo
Descargar

Bloque de licencias

Mostrando 1 - 1 de 1
Miniatura
Nombre:
license.txt
Tamaño:
347 B
Formato:
Item-specific license agreed upon to submission
Descripción:
Descargar

Colecciones

Revista Colombiana de Computación