Monitoring of the natural plague foci using immunocomputing

• Autorzy: Sokolova S. P. , Abdullina V. Z. , Sokolova L. A.
• Języki publikacji: EN

Abstrakty

EN

This paper discusses the development of an Immunocomputing (IC) approach to infection control of natural plague foci. The following concepts are developed: the structures and mathematical concepts of temporal relational databases; the concept of applying a plague risk index (PRI); using data fusion and mathematical models to form a PRI using an Immunocomputing approach. The application of Immunocomputing indices can reduce large quantities of variable data relating to a complex interacting dynamic system, into a single general value or index that represents all of those factors (data fusion) to obtain a solution to a practical problem.

Słowa kluczowe

EN

immunocomputing; biocontrol; monitoring; temporal databases; risk analysis; medical computing; data fusion; complex interacting dynamic system

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Systems Science
• Rocznik: 2005
• Tom: Vol. 31, no 2
• Strony: 107--115
• Opis fizyczny: Bibliogr. 7 poz.

Twórcy

autor

Sokolova S. P.

• St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences 14-line, 39, St. Petersburg, 199178, Russia

autor

Abdullina V. Z.

• Institute of Informatics and Control Problems, 125 Pushin Str., Almaty 480100 Republic of Kazahstan

autor

Sokolova L. A.

• Institute of Informatics and Control Problems, 125 Pushin Str., Almaty 480100 Republic of Kazahstan

Bibliografia

• [1] Ageev V. S., Parasitic contacts of rodents in the river valleys of the desert zone of Kazakhstan and their significance in the plague epizootology, Saratov, 1975, 3-19 (in Russian).
• [2] Aikimbayev A. M., et al., Epidemiological plague surveillance in the Ural-Emba and Ustyurt autonomous foci, Almaty, Gylym 1994, (in Russian).
• [3] Aubakirov S. A., et al.. Instruction on landscape-epizootic regionalization of natural plague foci in Central Asia and Kazakhstan, Alma-Ata, Gylym 1990, (in Russian).
• [4] Marshall E. C., Frigessi A., Stenseth N. C., Holden M., Ageyev V. S., Klassovskiy N. L., Plague in Kazakhstan: a Bayesian model for the temporal dynamics of a vector-transmitted infectious disease. University of Oslo, Oslo, 2001.
• [5] Sokolova S. P., Abdullina V. Z., et al., (ed. A. O. Tarakanov), Immune system for the gerbil natural plague focus, Almaty: ps 2002, 180 p.
• [6] Sokolowa L. A., Index design by immunocomputing. Lecture Notes in Computer Science, Vol. 2787, Springer, Beriin 2003, 120-127.
• [7] Tarakanov A. O., Skormin V. A., Sokolova S. P., Immunocomputing: principles and application. Springer, New York 2003, 193 p.