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CARE : Creative Application to Remedy Epidemics

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The paper focuses special attention on a project named CARE. The developers of the project is NosoiFighters team, which consists of students of the Cybernetics Faculty in Military University of Technology. The system is a very creative software solution that takes advantage of pioneering sociological theories, graph/networks theory and the last but not least most advanced technologies. It has a very practical purpose, in particular nowadays: countering infectious diseases, for instance HIV/AIDS, malaria, SARS, etc. The paper demonstrates how the system can help us to nail epidemics. CARE has enormous practical potential in regions such as Africa, where there are not enough medicines to treat all who are at risk.
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  • Institute of Information Systems, Cybernetics Faculty, Military University of Technology, Kaliskiego Str. 2, 00-908 Warsaw
Bibliografia
  • [1] P. Erdös, A. Rényi: On random graphs, Publ. Math Debrecen 6 (1959), 290-297.
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  • [6] Rafał Kasprzyk: Modeling the evolution of Complex Networks with Small World and Scale Free features, X International Workshop for Candidates for a Doctor's Degree OWD, Wisła 18-21.10.2008.
  • [7] Rafał Kasprzyk: Fault and attack resistance of Complex Networks, X International Workshop for Candidates for a Doctor's Degree OWD, Wisła, 18-21.10.2008.
  • [8] Brandes U., Kenis P., and Raab J.: Explanation Through Network Visualization, Methodology 2006, Vol. 2(1): 16-23.
  • [9] Romualdo Pastor-Satorras & Alessandro Vespignani: Epidemic Spreading in Scale-Free Networks, PRL Volume 86, Number 14 p. 3200 (2 April 2001).
  • [10] Paolo Crucitti, Vito Latora, Massimo Marchiori, Andrea Rapisarda: Error and attack tolerance of complex networks, Physica A 340 (2004), 388-394.
  • [11] Stefan Wuchty, Peter F. Stadler: Centers of complex networks, Journal of Theoretical Biology 222 (2003), 45-53.
  • [12] Barabási Albert László, Albert Réka, Topology of Evolving Networks: Local Events and Universality, PRL Volume 85, Number 24 p. 5234 (11 December 2000).
  • [13] Reuven Cohen, Shlomo Havlin, Daniel ben-Avraham: Efficient Immunization Strategies for Computer Networks and Population, PRL Volume 91 Number 24 p. 247901-1 (12 December 2003).
  • [14] N. Madar, T. Kalisky, R. Cohen, D. ben-Avraham, S. Havlin: Immunization and epidemic dynamics in complex networks, Eur. Phys. J. B 38, 269-276 (2004).
  • [15] http://www.microsoft.com/NET/
  • [16] http://silverlight.net/
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bwmeta1.element.baztech-article-BWA0-0041-0048
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