SrasV1, Main, Merge, bibRecord, 002848

Gryphon: A Hybrid Agent-Based Modeling and Simulation Platform for Infectious Diseases

Identifieur interne : 002848 ( Main/Merge ); précédent : 002847; suivant : 002849

Gryphon: A Hybrid Agent-Based Modeling and Simulation Platform for Infectious Diseases

Auteurs : Bin Yu [États-Unis] ; Jijun Wang [États-Unis] ; Michael Mcgowan [États-Unis] ; Ganesh Vaidyanathan [États-Unis] ; Kristofer Younger [États-Unis]

Source :

Lecture Notes in Computer Science [ 0302-9743 ]

RBID : ISTEX:621C7A81DA4B02C3A16983D49C371799997903B5

Abstract

Abstract: In this paper we present Gryphon, a hybrid agent-based stochastic modeling and simulation platform developed for characterizing the geographic spread of infectious diseases and the effects of interventions. We study both local and non-local transmission dynamics of stochastic simulations based on the published parameters and data for SARS. The results suggest that the expected numbers of infections and the timeline of control strategies predicted by our stochastic model are in reasonably good agreement with previous studies. These preliminary results indicate that Gryphon is able to characterize other future infectious diseases and identify endangered regions in advance.

Url:

DOI: 10.1007/978-3-642-12079-4_26

Links to Exploration step

ISTEX:621C7A81DA4B02C3A16983D49C371799997903B5

Le document en format XML

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Gryphon: A Hybrid Agent-Based Modeling and Simulation Platform for Infectious Diseases

Gryphon: A Hybrid Agent-Based Modeling and Simulation Platform for Infectious Diseases

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