Data Management in EpiGraph COVID-19 Epidemic Simulator

Miguel Guzmán-Merino, Christian Durán, Maria Cristina Marinescu, Concepción Delgado-Sanz, Diana Gomez-Barroso, Jesus Carretero, David E. Singh

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

1 Citació (Scopus)

Resum

The transmission of COVID-19 through a population depends on many factors which model, incorporate, and integrate many 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.

Idioma originalAnglès
Títol de la publicacióEuro-Par 2021
Subtítol de la publicacióParallel Processing Workshops - Euro-Par 2021 International Workshops, 2021, Revised Selected Papers
EditorsRicardo Chaves, Dora B. Heras, Aleksandar Ilic, Didem Unat, Rosa M. Badia, Andrea Bracciali, Patrick Diehl, Anshu Dubey, Oh Sangyoon, Stephen L. Scott, Laura Ricci
EditorSpringer Science and Business Media Deutschland GmbH
Pàgines267-278
Nombre de pàgines12
ISBN (imprès)9783031061554
DOIs
Estat de la publicacióPublicada - 2022
Publicat externament
Esdeveniment27th International Conference on Parallel and Distributed Computing, Euro-Par 2021 - Virtual, Online
Durada: 30 d’ag. 202131 d’ag. 2021

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum13098 LNCS
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349

Conferència

Conferència27th International Conference on Parallel and Distributed Computing, Euro-Par 2021
CiutatVirtual, Online
Període30/08/2131/08/21

Fingerprint

Navegar pels temes de recerca de 'Data Management in EpiGraph COVID-19 Epidemic Simulator'. Junts formen un fingerprint únic.

Com citar-ho