Parallel algorithm for simulating the spatial transmission of Influenza in EpiGraph

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

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 20th European MPI Users' Group Meeting, EuroMPI 2013
EditorialAssociation for Computing Machinery
Páginas205-210
Número de páginas6
ISBN (versión impresa)9788461651337
DOI
EstadoPublicada - 2013
Publicado de forma externa
Evento20th European MPI Users' Group Meeting, EuroMPI 2013 - Madrid, Espana
Duración: 15 sept 201318 sept 2013

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia20th European MPI Users' Group Meeting, EuroMPI 2013
País/TerritorioEspana
CiudadMadrid
Período15/09/1318/09/13

Huella

Profundice en los temas de investigación de 'Parallel algorithm for simulating the spatial transmission of Influenza in EpiGraph'. En conjunto forman una huella única.

Citar esto