Parallel algorithm for simulating the spatial transmission of Influenza in EpiGraph

Gonzalo Martín, Maria Cristina Marinescu, David E. Singh, Jesús Carretero

Research output: Book chapterConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper introduces an approach to modeling and simulating the propagation of flu-like infectious diseases over large, widely spread urban areas connected by transportation networks. We incorporate geographic location and a transportation model into our region-based, closed-world EpiGraph simulator to realistically model the movement of the virus between different geographic regions. The resulting simulator can assist in understanding how outbreaks propagate between far apart regions due to the movement of people outside their base location. This paper describes the MPI-based implementation of EpiGraph and its performance evaluation when simulating large-scale scenarios. We evaluate the simulator both on a distributed memory system and on a shared memory system.

Original languageEnglish
Title of host publicationProceedings of the 20th European MPI Users' Group Meeting, EuroMPI 2013
PublisherAssociation for Computing Machinery
Pages205-210
Number of pages6
ISBN (Print)9788461651337
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event20th European MPI Users' Group Meeting, EuroMPI 2013 - Madrid, Spain
Duration: 15 Sept 201318 Sept 2013

Publication series

NameACM International Conference Proceeding Series

Conference

Conference20th European MPI Users' Group Meeting, EuroMPI 2013
Country/TerritorySpain
CityMadrid
Period15/09/1318/09/13

Keywords

  • Computational epidemiology
  • Distributed computing
  • MPI
  • Parallel algorithms
  • Simulation

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