SrasV1, Main, Exploration, bibRecord, 002955

A Network-based Simulation Architecture for Studying Epidemic Dynamics

Identifieur interne : 002955 ( Main/Exploration ); précédent : 002954; suivant : 002956

A Network-based Simulation Architecture for Studying Epidemic Dynamics

Auteurs : Chung-Yuan Huang [Taïwan] ; Yu-Shiuan Tsai [Taïwan] ; Tzai-Hung Wen [Taïwan]

Source :

Simulation : (San Diego, Calif.) [ 0037-5497 ] ; 2010.

RBID : Pascal:11-0422906

Descripteurs français

Pascal (Inist)
- Système réparti, Réseau ordinateur, Démographie, Virus immunodéficience humaine, Grippe, Architecture réseau, Epidémiologie, Maladie infectieuse, Epidémie, Simulation ordinateur.
Wicri :
- topic : Démographie, Maladie infectieuse.

English descriptors

KwdEn :
- Computer network, Computer simulation, Demography, Distributed system, Epidemic, Epidemiology, Human immunodeficiency virus, Infectious diseases, Influenza, Network architecture.

Abstract

Epidemiology instructors are collaborating with computer scientists to construct network-based simulations to recreate infectious disease transmission dynamics and to examine intervention strategy efficacies. Here we propose an architecture based on demographic and geographic properties to support the learning efforts of undergraduate students and novice researchers, and describe our simulations of HIV, SARS, and influenza transmission dynamics in Taiwan. Our findings are offered to support the construction of new network-based epidemic simulations.

Affiliations:

Taïwan

Links toward previous steps (curation, corpus...)

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to stream PascalFrancis, to step Curation: 000898
to stream PascalFrancis, to step Checkpoint: 000166
to stream Main, to step Merge: 002998
to stream Main, to step Curation: 002955

Le document en format XML

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<front><div type="abstract" xml:lang="en">Epidemiology instructors are collaborating with computer scientists to construct network-based simulations to recreate infectious disease transmission dynamics and to examine intervention strategy efficacies. Here we propose an architecture based on demographic and geographic properties to support the learning efforts of undergraduate students and novice researchers, and describe our simulations of HIV, SARS, and influenza transmission dynamics in Taiwan. Our findings are offered to support the construction of new network-based epidemic simulations.</div>
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A Network-based Simulation Architecture for Studying Epidemic Dynamics

A Network-based Simulation Architecture for Studying Epidemic Dynamics

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri