Data management in epiGraph COVID-19 epidemic simulator

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Data management in epiGraph COVID-19 epidemic simulator

Author(s): Guzmán Merino, Miguel; Duran Gonzalez, Christian; Marinescu, María Cristina; Delgado Sanz, Concepción; Gómez Barroso, Diana; Carretero Pérez, Jesús; Expósito Singh, David
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Issued date: 2021-08-29
Citation: 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
xmlui.dri2xhtml.METS-1.0.item-contributor-funder: European Commission
Sponsor: 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.
Serie/No.: EasyChair
Project: Gobierno de España. COV20/00935
info:eu-repo/grantAgreement/EC/956748
Keywords: epidemiological simulation , COVID-19 , heterogeneous , data processing , parallel tool
URI: http://hdl.handle.net/10016/33879
Rights: © The Authors, 2021

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 age [+]

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