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Published in Chapter:
IntegraEPI: Epidemiologic Surveillance on the Grid
Fabricio Alves Barbosa da Silva (Universidad de Lisboa, Portugal), Henrique Fabricio Gagliardi (Instituto de Ensino Superior, Brazil), Eduardo Gallo (APRAESPI, Brazil), Maria Antonia Madope (Ford Foundation Alumni Association, Mozambique), Virgilio Cavicchioli Neto (Universidade Federal de Sao Paulo, Brazil), Ivan Torres Pisa (Universidade Federal de São Paulo, Brazil), and Domingos Alves (Universidade de São Paulo, Brasil)
Copyright: © 2009
|Pages: 25
DOI: 10.4018/978-1-60566-374-6.ch023
Abstract
The authors present in this work a large-scale system for space-time visualization, monitoring, modeling and analysis of epidemic data using a Grid platform. This system, dubbed IntegraEPI, is capable to integrate data from heterogeneous databases related to epidemic analysis and to make available analytical and computational methods to increase the predicting capability of the public heath system, in order to optimize its activities and resources when dealing with epidemic outbreak and prevention. This system, differently of what has been proposed before, is integrated and consequently it enables the construction of detailed predictive models of the dynamics of disease spreading. With the help of IntegraEPI, Health authorities will be able to decide about a set of possible actions that will be previously tested in a virtual population interacting in an urban infrastructure, considering its environmental factors, and finally compare the simulated data to consolidated data of real epidemic dynamics.