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Generation of Databases and Visualization of Current Epidemiological Information for Purposes of a Medical-Ecological Monitoring of a Region

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Abstract

The geo-ontology principles of identifying the functional connectivity of all components of the socio-biological system have been used as the basis for developing a unified and scientifically rigorous methodology of preprocessing epidemiological information and its preparation for further use. The specific features in epidemiological information are highlighted as well as the need for territorial linkage of the objects and situations under study in order to ensure the adequacy of management decisions. According to the principles of designing relational databases, an integrated epidemiological database has been generated, which includes the geographical coordinates of the objects and situations under study. Such a territorial linkage when implemented using GIS technologies provides a means of solving regional problems of estimating the probability of disease with due regard for the specific features of the location, which ensures competent and targeted work of the system of medical and environmental monitoring. The continually updated databases have been created and patented, which are compatible with ArcGIS and contain basic epidemiological data on the incidence of tick-borne encephalitis and tick-borne borreliosis, based on information received from hospitals in Irkutsk. For updating the integrated database with information on the occurrence of infections across landscapes, annual (since 2005) expeditions have been conducted in several key areas of Irkutsk oblast which are distinguished by landscape diversity, vector size, attendance and morbidity of the population. Ticks and their hosts are collected and analyzed for the presence of pathogens of natural focal infections. More than 25 thousand ticks were caught, whose infection with tick-borne encephalitis virus averaged 1.5%. Visualization of epidemiological information used the methods of end-to-end geographical mapping of the territory, the logic of which formulates the principles of geoinformation mapping and naturally includes a natural territorial component.

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References

  1. Decree of the Government of the Russian Federation No. 60 of February 2, 2006 “On Approval of the Regulations Concerning the Conduct of a Social-Hygienic Monitoring” (as Revised Decrees of the Government of the Russian Federation of 9.4.2012 No. 882 and of 5.25.2017 No. 63). URL: http://pravo.gov.ru/proxy/ips/?docbody=&nd=102104563&rdk=&backlink=1 (Accessed March 29, 2018) [in Russian].

  2. Loktionova, M.N., The Regularities in the Territorial Distribution and Occurrence of Permanently Unfavorable Anthrax Locations of the Russian Federation. Extended Abstract of Cand. Sci. (Med.) Dissertation, Moscow, 2011, 24 p. [in Russian].

  3. Gorshkov, M.V., Ecological Monitoring. Handbook, Vladivostok: Izd. Tikhookean. Ekonom. Inst., 2010 [in Russian].

    Google Scholar 

  4. Kiryakova, L.S., Khaitovich, A.B., Kovalenko, I.S., and Dulitskii, A.I., Using Geographical Information Technologies in Epidemiological Diagnosis of Particularly Dangerous Infections, Problemy Osobo Opasnykh Infektsii, 2004, no. 1 (87), pp. 24–28 [in Russian].

  5. Vasil’eva, O.V., Moskvitina, S.I., Savel’ev, V.N., and Babenyshev, B.V., Generation of the Cholera on the Caucasus Information System, Infektsiya i Immunitet, 2012, vol. 2, no. 1–2, pp. 126 [in Russian].

    Google Scholar 

  6. Dubyanskii, V.M., The Concept of Using GIS Technologies and Remote Sensing for Plague Surveillance, Vrach i Infektsionnye Tekhnologii, 2012, no. 2, pp. 42–46 [in Russian].

  7. Manin, E.A., Scientific Justification of Use of GIS Technologies in Epidemiological Brucellosis Supervision (A Case Study of Stavropol Krai), Extended Abstract of Cand. Sci. (Med.) Dissertation, 2012, Stavropol. URL: (Accessed January 25, 2018) [in Russian].

  8. Zholdoev, S.T. and Vasikova, S.G., Improvement of Epidemiological Anthrax Supervision Using an Automated Database, Sanitarnyi Vrach, 2012, no. 10, pp. 21–26 [in Russian].

  9. Buravtseva, N.P., Mezentsev, V.M., Ryazanova, A.G., Pluzhnikova, O.V., Eremenko, E.I., Maletskaya, O.V., and Kulichenko, A.N., Use of GIS Technologies in Developing the Cadastre of Permanently Anthrax-Unfavorable Locations in Krasnodar Krai, Zhurn. Mikrobiol., Epidemiol., Immunobiol., 2014, no. 2, pp. 59–64 [in Russian].

  10. Lukhnova, L.Yu., Aikimbaev, A.M., Sadovskaya, V.P., Pazylov, S.K., Meka-Mechenko, T.V., Nekrasova, L.E., and Sarmantaeva, A.B., Using GIS Technologies in Generating the Database for Anthrax Foci in Kazakhstan, Dezinfektsiya. Antiseptika, 2011, vol. 2, no. 6, pp. 42–49 [in Russian].

    Google Scholar 

  11. Solntsev, L.A., The Electronic Atlas as a Means of Systematizing Epidemiological Data and Monitoring the Epidemiological Situation, Abstract Book of the VI All-Russian Sci. Conf. of Young Scientists and Specialists of Rospotrebnadzor (October 22–24, 2014, Stavropol), Stavropol: OOO Expo-Media, 2014, pp. 42–44 [in Russian].

    Google Scholar 

  12. Postupailo, V.B., Improvement of the Epidemiological Analysis of Infectious Diseases Using the Automated Database, Extended Abstract of Cand. Sci. (Med.) Dissertation, Perm: Perm State Medical Academy, 2008, 21 p. [in Russian].

    Google Scholar 

  13. Zou, L., Miller, S.N. and Schmidtmann, E.T., A GIS Tool to Estimate West Nile Virus Risk Based on a Degree-Day Model, Environ. Monit. Assess., 2007, vol. 129, issue 1–3, pp. 413–420.

    Article  Google Scholar 

  14. Linard, C., Lamarque, P., Heyman, P., Ducoffre, G., Luyasu, V., Tersago, K., Vanwambeke, S.O., and Lambin, E.F., Determinants of the Geographic Distribution of Puumala Virus and Lyme Borreliosis Infections in Belgium, Int. J. Health Geogr., 2007, vol. 6:15, issue 1. https://doi.org/10.1186/1476-072X-6-15

    Article  Google Scholar 

  15. Wu, W., Guo, J.-Q., Yin, Z.-H., Wang, P., and Zhou, B.-S., GIS-Based Spatial, Temporal, and SpaceTime Analysis of Haemorrhagic Fever With Renal Syndrome, Epidemiol. Infect., 2009, vol. 137, issue 12, pp. 1766–1775.

    Article  Google Scholar 

  16. Ratmanov, P., Mediannikov, O. and Raoult, D., Vectorborne Diseases in West Africa: Geographic Distribution and Geospatial Characteristics, Trans. Royal Soc. Trop. Med. Hyg., 2013, vol. 107, issue 5, pp. 273–284.

    Article  Google Scholar 

  17. Danchinova, G.A., Khasnatinov, M.A., Lyapunov, A.V., Fedorov, R.K., Paramonov, V.V., Manzarova, E.L., Bolotova, N.A., Chumachenko, I.G., and Ruzhnikov, G.M., Experience of Geocoding of Ixodidae Habitats and Creation of GS Technologies in Cisbaikalia, Natsional’nye Interesy Rossii, 2016, no. 4 (22), pp. 21–26 [in Russian].

  18. Efimov, E.I., Nikitin, P.N., Ershov, VI., and Ryabikova, T.F., Development and Use of Geoinformation Technologies in Antiepidemic Practices. Goals, Objectives, Methods, Results, Meditsinskii Al’manakh, 2009, no. 2, pp. 43–47 [in Russian].

  19. Sturman, V.I., Ecological Mapping: Handbook, Moscow: Aspekt Press, 2003 [in Russian].

    Google Scholar 

  20. Kokorina, I.P., Concerning Uses of GIS Technologies in Medical-Geographical Mapping, Proc. Int. Sci. Congress “GEO-Siberia-2006” (April 24–28, 2006, Novosibirsk), Novosibirsk: Izd. Sib. Univ. Geosistem i Tekhnologii, 2006, in 6 Vols., vol. 1, part 2, pp. 252–255 [in Russian].

    Google Scholar 

  21. Mel’nikova, O.V, Vershinin, E.A., Korzun, V.M., Lesnykh, S.I., Sidorova, E.A., and Andaev, E.I., Use of GIS Technologies in Comparative Analysis of the Disease Incidence Caused by Transmissive Tick-Borne Infections (A Case Study of thee City of Irkutsk), Geogr. Prir. Resur., 2014, no. 3, pp. 162–172 [in Russian].

  22. Myasnikova, S.I. and Cherkashin, A.K., Geoontology of Generating a Series of Maps for Municipal Districts, Geodeziya i Kartografiya, 2012, no. 12, pp. 41–48 [in Russian].

  23. Cherkasskii, B.L., System Approach in Epidemiology, Moscow: Meditsina, 1988 [in Russian].

    Google Scholar 

  24. Karpova, T.S., Databases: Models, Development, Implementation, St. Petersburg: Piter, 2001 [in Russian].

    Google Scholar 

  25. Korenberg, E.I., Pomelova, V.G. and Osin, N.S., Natural-Focal Infections Transmitted by Ixodidae, Moscow: OOO Kommentarii, 2013 [in Russian].

    Google Scholar 

  26. Lesnykh, S.I. and Mel’nikova, O.V., Generation of Databases of Current Epidemiological Information for Purposes of Medical-Ecological Monitoring of a Region, in Ecology, Economy. Informatics: Collection of Papers, in 2 Vols., Vol. 2: Geoinformation Technologies and Space Monitoring, Rostov-on-Don: Izd. Yuzhnogo Federal. Univ., 2014, pp. 115–118 [in Russian].

    Google Scholar 

  27. Lesnykh, S.I. and Cherkashin, A.K., The Principles of Through Mapping for Municipal Districts, Geodeziya i Kartografiya, 2015, no. 8, pp. 10–16 [in Russian].

  28. Myasnikova, S.I. and Cherkashin, A.K., Predictive GIS Modeling and Mapping of Taiga Forest Reserves Dynamics, Geodeziya i Kartografiya, 2010, no. 11, pp. 30–33 [in Russian].

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Correspondence to S. I. Lesnykh or O. V. Mel’nikova.

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Russian Text © S.I. Lesnykh, O.V. Mel’nikova, 2019, published in Geografiya i Prirodnye Resursy, 2019, Vol. 40, No. 2, pp. 22–29.

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Lesnykh, S.I., Mel’nikova, O.V. Generation of Databases and Visualization of Current Epidemiological Information for Purposes of a Medical-Ecological Monitoring of a Region. Geogr. Nat. Resour. 40, 115–121 (2019). https://doi.org/10.1134/S1875372819020033

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  • DOI: https://doi.org/10.1134/S1875372819020033

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