IntegraEPI
-
Published:2009
Issue:
Volume:
Page:444-468
-
ISSN:
-
Container-title:Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare
-
language:
-
Short-container-title:
Author:
Barbosa da Silva Fabricio Alves1, Fabricio Gagliardi Henrique2, Gallo Eduardo3, Madope Maria Antonia4, Cavicchioli Neto Virgilio5, Torres Pisa Ivan6, Alves Domingos7
Affiliation:
1. Universidad de Lisboa, Portugal 2. Instituto de Ensino Superior, Brazil 3. APRAESPI, Brazil 4. Ford Foundation Alumni Association, Mozambique 5. Universidade Federal de Sao Paulo, Brazil 6. Universidade Federal de São Paulo, Brazil 7. Universidade de São Paulo, Brasil
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.
Reference39 articles.
1. Astakhov, V., Gupta, A., Grethe, J., Ross, E., Little, D., Yilmaz, A., et al. (2006). Semantically Based Data Integration Environment for Biomedical Research. In Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (CBMS’06). New York: IEEE Computer Society Press. 2. Axelson, O. (1999). The character and the public health implications of ecological analyses. In A. Lawson, A. Biggeri, D. Böhning, E. Lesaffre, J.-F. Viel & R. Bertollini (Ed.), Disease Mapping and Risk Assessment for Public Health, (pp. 301-309). New York: Wiley and Sons. 3. Bailey, T. C., & Gatrell, A. C. (1995). Interactive Spatial Data Analysis. Essex, UK: Longman Scientific and Technical. 4. Black, D., Morris, S. N., Smith, C., & Townsend, P. (1982). The pattern of present health inqualities. In P. Townsend & N. Davidson (orgs.), Inequalities in health: the black report (pp. 51-64). New York: Penguin Books.
|
|