Data management in epiGraph COVID-19 epidemic simulator

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dc.contributor.author Guzmán Merino, Miguel
dc.contributor.author Duran Gonzalez, Christian
dc.contributor.author Marinescu, María Cristina
dc.contributor.author Delgado Sanz, Concepción
dc.contributor.author Gómez Barroso, Diana
dc.contributor.author Carretero Pérez, Jesús
dc.contributor.author Expósito Singh, David
dc.contributor.other
dc.date.accessioned 2022-01-14T11:23:53Z
dc.date.available 2022-01-14T11:23:53Z
dc.date.issued 2021-08-29
dc.identifier.bibliographicCitation Guzmán, M., Durán, C., Marinescu, M.C., Delgado, C., Gómez, D., Carretero, J., Singh, D. (2021). Data management in epiGraph COVID-19 epidemic simulator. EasyChair: the world for scientits. https://easychair.org/publications/preprint/Qnvq
dc.identifier.other https://easychair.org/publications/preprint/Qnvq
dc.identifier.uri http://hdl.handle.net/10016/33879
dc.description.abstract The transmission of COVID-19 through a population depends on many factors which model, incorporate, and integrate a large number of heterogeneous data sources. The work we describe in this paper focuses on the data management aspect of EpiGraph, a scalable agent-based virus-propagation simulator. We describe the data acquisition and pre-processing tasks that are necessary to map the data to the different models implemented in EpiGraph in a way that is efficient and comprehensible. We also report on post-processing, analysis, and visualization of the outputs, tasks that are fundamental to make the simulation results useful for the final users. Our simulator captures complex interactions between social processes, virus characteristics, travel patterns, climate, vaccination, and non-pharmaceutical interventions. We end by demonstrating the entire pipeline with one evaluation for Spain for the third COVID wave starting on December 27th of 2020.
dc.description.sponsorship This work has been supported by the Spanish Instituto de Salud Carlos III under the project grant 2020/00183/001, the project grant BCV-2021-1-0011, of the Spanish Supercomputing Network (RES) and the European Union's Horizon 2020 JTI-EuroHPC research and innovation program under grant agreement No 956748.
dc.format.extent 13
dc.language.iso eng
dc.relation.ispartofseries EasyChair
dc.rights © The Authors, 2021
dc.subject.other epidemiological simulation
dc.subject.other COVID-19
dc.subject.other heterogeneous
dc.subject.other data processing
dc.subject.other parallel tool
dc.title Data management in epiGraph COVID-19 epidemic simulator
dc.type working paper
dc.subject.eciencia Informática
dc.rights.accessRights open access
dc.relation.projectID Gobierno de España. COV20/00935
dc.relation.projectID info:eu-repo/grantAgreement/EC/956748
dc.identifier.uxxi DT/0000001960
dc.contributor.funder European Commission
dc.affiliation.dpto UC3M. Departamento de Informática
dc.affiliation.grupoinv UC3M. Grupo de Investigación: Arquitectura de Computadores, Comunicaciones y Sistemas
dc.type.hasVersion SMUR
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