The Experience of Determining the Natural Boundary between the Precaspian Sandy and Dagestan Plain-Piedmont Natural Plague Foci Using Artificial Intelligence Elements
https://doi.org/10.21055/0370-1069-2025-3-99-107
Abstract
The aim of the study was to determine the natural boundary of the focal territory, in particular, the boundary between the Precaspian sandy and Dagestan plain-piedmont natural foci of plague. There are 11 natural plague foci that are fully or partially located on the territory of the Russian Federation, most of which share common borders. However, in many cases, it is not possible to establish a natural boundary of the focus, so a formalized boundary is drawn outside the presumed passage. Such uncertainty can lead to difficulties in organizing the examination of foci, implementing preventive measures, and to misinterpretation of survey results and inappropriate use of predictive models. Objectives: to construct ecological niches of the parasitic systems of both foci and to define the boundary between them.
Materials and methods. Archival data from the Stavropol Anti-Plague Institute, Dagestan, Elista, and Astrakhan Plague Control Stations of the Rospotrebnadzor regarding the epizootic manifestations of plague in the foci over the past 35 years were used. Information on abiotic and biotic factors was obtained from open databases on the Internet. Ecological niche models of the foci were constructed using artificial intelligence elements.
Results and discussion. The studied area is proposed to be classified as part of the Dagestan plain-piedmont natural focus of plague, and new outlines of the boundary between the foci are put forward.
About the Authors
V. M. Dubyansky
Stavropol Research Anti-Plague Institute
Russian Federation
Russian Federation
13–15, Sovetskaya St., Stavropol, 355035
U. M. Ashibokov
Stavropol Research Anti-Plague Institute
Russian Federation
Russian Federation
13–15, Sovetskaya St., Stavropol, 355035
A. Kh. Khalidov
Dagestan Plague Control Station
Russian Federation
Russian Federation
13d, Gagarin St., Makhachkala, 367000
A. A. Kas’yan
Dagestan Plague Control Station
Russian Federation
Russian Federation
13d, Gagarin St., Makhachkala, 367000
References
1. Onishchenko G.G., Kutyrev V.V., editors. [Natural Plague Foci in the Territory of Caucasus, Caspian Sea Region, Central Asia and Siberia]. Moscow: “Medicine”; 2004. 191 p.
2. Dyatlov A.I., Antonenko A.D., Grizhebovsky G.M., Labunets N.F. [Natural Focality of Plague in the Caucasus]. Stavropol; 2001. 345 p.
3. Popova A.Yu., Kutirev V.V., editors. [Cadastre of Epidemic and Epizootic Manifestations of Plague in the Territory of the Russian Federation and Former Soviet Union (1876–2016)]. Saratov; 2016. 248 p.
4. Lisovsky A.A., Dudov S.V., Obolenskaya E.V. [Advantages and limitations of ecological modeling methods for habitats. 1. General approaches]. Zhurnal Obshchei Biologii [Journal of General Biology]. 2020; 81(2):123–34. DOI: 10.31857/S0044459620020037.
5. Shary P.A. [Environmental factors in predictive soil mapping (review)]. Pochvovedenie [Soil Science]. 2023; (3):285–99. DOI: 10.31857/S0032180X22100380.
6. Romanovskaya A.A., editor. [Assessment of Greenhouse Gas Fluxes in Ecosystems of the Regions of the Russian Federation]. Moscow; 2023. 344 p.
7. Kuzin A.A., Glushakov R.I., Parfenov S.A., Sapozhnikov K.V., Lazarev A.A. [Development of an artificial intelligence system for the forecasting of infectious diseases]. Fundamental’naya i Klinicheskaya Meditsina [Fundamental and Clinical Medicine]. 2023; 8(3):143–54. DOI: 10.23946/2500-0764-2023-8-3-143-154.
8. Geness V.S. [Some Simple Methods of Cybernetic Data Processing in Diagnostic and Physiological Research]. Moscow: “Nauka”; 1967. 208 p.
9. Gubler E.V. [Computational Methods of Analysis and Recognition of Pathological Processes]. Leningrad: “Medicine”; 1978. 296 p.
10. Malakhov D.V. [GIS modeling of ecological niches: challenges and solutions]. Selevinia. 2022; 30:105–16.
11. Dubyansky M.A., Kenzhebaev A., Stepanov V.M., Asenov G.A., Dubyanskaya L.D. [Prediction of Plague Epizootic Activity in the Aral Sea Region and Kyzyl Kum]. Nukus: Karakalpakstan; 1992. 240 p.
12. Odum Yu.P. [Ecology]. Vol. 2. Moscow: “Mir”; 1986. 376 p.
13. Begon M., Townsend C.R., Harper J.L. Ecology: From Individuals to Ecosystems. Malden: Blackwell, Google Scholar; 2006.
14. Piyanka E. [Evolutionary Ecology]. Moscow: “Mir”; 1981. 400 p.
15. Bates J.E., Shepard H.K. Measuring complexity using information fluctuation. Physics Letters A. 1993; 172(6):416–25. DOI: 10.1016/0375-9601(93)90232-o.
Review
For citations:
Dubyansky V.M., Ashibokov U.M., Khalidov A.Kh., Kas’yan A.A. The Experience of Determining the Natural Boundary between the Precaspian Sandy and Dagestan Plain-Piedmont Natural Plague Foci Using Artificial Intelligence Elements. Problems of Particularly Dangerous Infections. 2025;(3):99-107. (In Russ.) https://doi.org/10.21055/0370-1069-2025-3-99-107
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