| Literature DB >> 17476062 |
Fabricio A B da Silva1, Henrique F Gagliardi, Eduardo Gallo, Maria A Madope, Virgílio C Neto, Ivan T Pisa, Domingos Alves.
Abstract
The proposal of new analytical techniques has guided innovative methodological developments in public health interventions. The goal of this work is show advances in the development of a large scale system for space-time visualization, monitoring, modeling and analysis of epidemic data using a Grid platform. The resulting virtual laboratory, dubbed IntegraEPI, is expected to provide better epidemic forecasting and to define better strategies to fight the spread of a disease, in which new population-level interventions could be evaluated and iteratively refined using computational simulations, with tangible benefits for real-world epidemic prevention and control efforts.Mesh:
Year: 2007 PMID: 17476062
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630