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Data · dataset · 2020

Epigraph 1.3 Meteorological-Based Experimental Data

Listed in e-cienciaDatos

This file contains the complete data set of EpiGraph version 1.3.

Description

EpiGraph is a scalable, fully distributed simulator that is able to perform large scale stochastic and realistic simulations of the propagation of the flu virus. The current implementation of EpiGraph allows modeling the population via a realistic local interconnection network based on actual individual interactions extracted from social networks and demographic data.

At inter-urban scale, we use a transportation model which allows the study of the spatial dynamics of the virus propagation over large geographical areas. EpiGraph also includes a model of the interaction between influenza spreading and climatic and meteorological factors, such as temperature, atmospheric pressure and humidity levels. From the computational perspective, EpiGraph is a network I/O bound application written in C language and implemented on MPI.

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Internally, EpiGraph performs irregular memory access patterns related to sparse matrices used to model the individual interactions. This distribution contains the meteorological-based experimental data used to run the experiments for the paper entitled Evaluating the impact of the weather conditions on the influenza propagation In order to install this data set, you first need to install EpiGraph. You can download it from: gitlab.arcos.inf.uc3m.es:8380/desingh/EpiGraph Then, to install this package take the following steps: 1.- Download the file and place it in EpiGraphHome directory. 2.- Extract the tarbal in this directory. tar -zxvf EpiGraph.1.3.DataMeteo.tar.gz | This work has been partially supported by the Spanish "Ministerio de Economía y Competitividad" under the project grant TIN2016-79637-P "Towards Unification of HPC and Big Data paradigms".

The results of this work have been obtained from meteorological information provided by Spanish National Meteorological Agency, AEMET, Ministerio de Agricultura, Alimentación y Medio Ambiente.

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Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
e-cienciaDatosdoi:10.5281/ZENODO.83651413 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:medicine-healthmapping · edatos consorciomadrono esconnector:edatos_consorciomadrono_es@1.0.0/subjects
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