- -

Effect of the early use of antivirals on the COVID-19 pandemic. A computational network modeling approach

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Effect of the early use of antivirals on the COVID-19 pandemic. A computational network modeling approach

Mostrar el registro sencillo del ítem

Ficheros en el ítem

Thumbnail
Nombre: Benlloch;Cortés;M ...
Tamaño: 1.044Mb
Formato: PDF
Descripción: Versión del Autor.
Abrir
[Cerrado]
Nombre: CSF_COVID_19.pdf
Tamaño: 1.649Mb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor
dc.contributor.author Benlloch Baviera, Jose María es_ES
dc.contributor.author Cortés, J.-C. es_ES
dc.contributor.author Martínez-Rodríguez, David es_ES
dc.contributor.author San Julián-Garcés, Raúl es_ES
dc.contributor.author Villanueva Micó, Rafael Jacinto es_ES
dc.date.accessioned 2021-02-06T04:33:55Z
dc.date.available 2021-02-06T04:33:55Z
dc.date.issued 2020-11 es_ES
dc.identifier.issn 0960-0779 es_ES
dc.identifier.uri http://hdl.handle.net/10251/160839
dc.description.abstract [EN] It seems that we are far from controlling COVID-19 pandemics, and, consequently, returning to a fully normal life. Until an effective vaccine is found, safety measures as the use of face masks, social distancing, washing hands regularly, etc., have to be taken. Also, the use of appropriate antivirals in order to alleviate the symptoms, to control the severity of the illness and to prevent the transmission, could be a good option that we study in this work. In this paper, we propose a computational random network model to study the transmission dynamics of COVID-19 in Spain. Once the model has been calibrated and validated, we use it to simulate several scenarios where effective antivirals are available. The results show how the early use of antivirals may significantly reduce the incidence of COVID-19 and may avoid a new collapse of the health system. (c) 2020 Elsevier Ltd. All rights reserved. es_ES
dc.description.sponsorship This work has been financed in part by ERC grant 695536-4D-PET. This work has been supported by the Spanish Ministerio de Economa, Industria y Competitividad (MINECO), the Agencia Estatal de Investigacion (AEI) and Fondo Europeo de Desarrollo Regional (FEDER UE) grant MTM2017-89664-P. This paper has been supported by the European Union through the Operational Program of the [European Regional Development Fund (ERDF)/European Social Fund (ESF)] of the Valencian Community 2014-2020. Files: GJIDI/2018/A/010 and GJIDI/2018/A/009. The authors gratefully acknowledge the Gauss Centre for Supercomputing e.V. (www.gauss-centre.eu) for funding this project by providing computing time on the GCS Supercomputer JUDAC at Julich Supercomputing Centre (JSC), project transdyn_cov2, and the Partnership For Advanced Computing in Europe (PRACE-RI) support to mitigate the impact of COVID-19 pandemic. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Chaos, Solitons and Fractals es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject COVID-19 es_ES
dc.subject Transmission dynamics es_ES
dc.subject Computational random network model es_ES
dc.subject Antiviral effectiveness es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Effect of the early use of antivirals on the COVID-19 pandemic. A computational network modeling approach es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.chaos.2020.110168 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-89664-P/ES/PROBLEMAS DINAMICOS CON INCERTIDUMBRE SIMULABLE: MODELIZACION MATEMATICA, ANALISIS, COMPUTACION Y APLICACIONES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/695536/EU/Innovative PET scanner for dynamic imaging/4D-PET/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GJIDI%2F2018%2FA%2F009/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GJIDI%2F2018%2FA%2F010/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto de Biología Molecular y Celular de Plantas - Institut Universitari Mixt de Biologia Molecular i Cel·lular de Plantes es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària es_ES
dc.description.bibliographicCitation Benlloch Baviera, JM.; Cortés, J.; Martínez-Rodríguez, D.; San Julián-Garcés, R.; Villanueva Micó, RJ. (2020). Effect of the early use of antivirals on the COVID-19 pandemic. A computational network modeling approach. Chaos, Solitons and Fractals. 140:1-9. https://doi.org/10.1016/j.chaos.2020.110168 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.chaos.2020.110168 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 9 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 140 es_ES
dc.identifier.pmid 32836917 es_ES
dc.identifier.pmcid PMC7434368 es_ES
dc.relation.pasarela S\416361 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder European Research Council es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.description.references Worldometer. COVID-19 Coronavirus Pandemic. https://www.worldometers.info/coronavirus/. es_ES
dc.description.references Okell, L. C., Verity, R., Watson, O. J., Mishra, S., Walker, P., Whittaker, C., … Bhatt, S. (2020). Have deaths from COVID-19 in Europe plateaued due to herd immunity? The Lancet, 395(10241), e110-e111. doi:10.1016/s0140-6736(20)31357-x es_ES
dc.description.references Beigel, J. H., Tomashek, K. M., Dodd, L. E., Mehta, A. K., Zingman, B. S., Kalil, A. C., … Lane, H. C. (2020). Remdesivir for the Treatment of Covid-19 — Final Report. New England Journal of Medicine, 383(19), 1813-1826. doi:10.1056/nejmoa2007764 es_ES
dc.description.references Damle, B., Vourvahis, M., Wang, E., Leaney, J., & Corrigan, B. (2020). Clinical Pharmacology Perspectives on the Antiviral Activity of Azithromycin and Use in COVID‐19. Clinical Pharmacology & Therapeutics, 108(2), 201-211. doi:10.1002/cpt.1857 es_ES
dc.description.references Jeon S., Ko M., Lee J., Choi I., Byun S.Y., Park S., et al. Identification of antiviral drug candidates against SARS-CoV-2 from FDA-approved drugs2020. 10.1101/2020.03.20.999730 es_ES
dc.description.references Caly, L., Druce, J. D., Catton, M. G., Jans, D. A., & Wagstaff, K. M. (2020). The FDA-approved drug ivermectin inhibits the replication of SARS-CoV-2 in vitro. Antiviral Research, 178, 104787. doi:10.1016/j.antiviral.2020.104787 es_ES
dc.description.references Sheahan, T. P., Sims, A. C., Zhou, S., Graham, R. L., Pruijssers, A. J., Agostini, M. L., … Baric, R. S. (2020). An orally bioavailable broad-spectrum antiviral inhibits SARS-CoV-2 in human airway epithelial cell cultures and multiple coronaviruses in mice. Science Translational Medicine, 12(541). doi:10.1126/scitranslmed.abb5883 es_ES
dc.description.references Helleringer, S., & Kohler, H.-P. (2007). Sexual network structure and the spread of HIV in Africa: evidence from Likoma Island, Malawi. AIDS, 21(17), 2323-2332. doi:10.1097/qad.0b013e328285df98 es_ES
dc.description.references Acedo, L., Moraño, J.-A., Villanueva, R.-J., Villanueva-Oller, J., & Díez-Domingo, J. (2011). Using random networks to study the dynamics of respiratory syncytial virus (RSV) in the Spanish region of Valencia. Mathematical and Computer Modelling, 54(7-8), 1650-1654. doi:10.1016/j.mcm.2010.11.068 es_ES
dc.description.references Díez-Domingo, J., Sánchez-Alonso, V., Villanueva, R.-J., Acedo, L., Moraño, J.-A., & Villanueva-Oller, J. (2017). Random Network Models to Predict the Long-Term Impact of HPV Vaccination on Genital Warts. Viruses, 9(10), 300. doi:10.3390/v9100300 es_ES
dc.description.references Centers for Disease Control and Prevention (CDC). How COVID-19 Spreads. https://www.cdc.gov/coronavirus/2019-ncov/faq.html#How-COVID-19-Spreads. es_ES
dc.description.references National Institute of Statistics of Spain (INE). Number of Spanish population. https://www.ine.es. es_ES
dc.description.references Villanueva-Oller, J., Acedo, L., Moraño, J. A., & Sánchez-Sánchez, A. (2013). Epidemic Random Network Simulations in a Distributed Computing Environment. Abstract and Applied Analysis, 2013, 1-10. doi:10.1155/2013/462801 es_ES
dc.description.references Google. Google Local Mobility Reports About COVID-19. https://www.google.com/covid19/mobility/. es_ES
dc.description.references Guan, W., Ni, Z., Hu, Y., Liang, W., Ou, C., He, J., … Zhong, N. (2020). Clinical Characteristics of Coronavirus Disease 2019 in China. New England Journal of Medicine, 382(18), 1708-1720. doi:10.1056/nejmoa2002032 es_ES
dc.description.references Instituto de Salud Carlos III. Estudio ENE-COVID19: Primera ronda. Estudio Nacional de Sero-Epidemiología de la Infección Por SARS-Cov-2 en España. Informe Preliminar 13 de Mayo de 2020. https://s03.s3c.es/imag/doc/2020-05-13/ENE_COVID_Informe_preliminar_cierre_de_la_primera_ronda_13Mayo2020.pdf. es_ES
dc.description.references DATADISTA. Datasets relacionados con la incidencia de la COVID-19 en España (Datasets related to the incidence of COVID-19 in Spain). https://github.com/datadista/datasets/tree/master/COVID2019. es_ES
dc.description.references Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., … Cao, B. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. The Lancet, 395(10229), 1054-1062. doi:10.1016/s0140-6736(20)30566-3 es_ES
dc.description.references World Health Organization (WHO). Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19), 16–24 February 2020. https://www.who.int/docs/default-source/coronaviruse/who-china-joint-mission-on-covid-19-final-report.pdf. es_ES
dc.description.references Sanche, S., Lin, Y. T., Xu, C., Romero-Severson, E., Hengartner, N., & Ke, R. (2020). High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2. Emerging Infectious Diseases, 26(7), 1470-1477. doi:10.3201/eid2607.200282 es_ES
dc.description.references Greenhalgh, T., Schmid, M. B., Czypionka, T., Bassler, D., & Gruer, L. (2020). Face masks for the public during the covid-19 crisis. BMJ, m1435. doi:10.1136/bmj.m1435 es_ES
dc.subject.ods 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem