Integral assessment and cartographic modeling of public health as an indicator of life guality

DOI: 10.35595/2414-9179-2020-3-26-91-104

View or download the article (Rus)

About the Authors

Anatoly I. Chistobaev

Saint Petersburg State University, Institute of Earth Sciences,
VI, 10th line, 33-35, 199178, St. Petersburg, Russia,
E-mail: chistobaev40@mail.ru

Vasiliy V. Dmitriev

Saint Petersburg State University, Institute of Earth Sciences,
VI, 10th line, 33-35, 199178, St. Petersburg, Russia,
E-mail: vasiliy-dmitriev@rambler.ru

Zoya A. Semenova

Saint Petersburg State University, Institute of Earth Sciences,
VI, 10th line, 33-35, 199178, St. Petersburg, Russia,
E-mail: semzoy@yandex.ru

Aleksander N. Ogurtsov

Saint Petersburg State University, Institute of Earth Sciences,
VI, 10th line, 33-35, 199178, St. Petersburg, Russia,
E-mail: aogurcov@yandex.ru

Nikolai A. Grudtcyn

Saint Petersburg State University of Telecommunications, SEC POS,
Moika River quay, 61, 191186, St. Petersburg, Russia
E-mail: poxes@yandex.ru

Abstract

The conceptual foundations of the study of the dynamics of public health as one of the indicators of quality of life are presented. On the example of a number of regions of the Russian Federation, approaches to modeling and mapping public health are examined. The assessment process was carried out for five classes — from high (first grade) to low (fifth grade). The calculation of the evaluation criteria was carried out in four groups: social, economic, environmental, and the incidence of the population. Convolution of indicators was carried out both inside the blocks and between the blocks. A linear change in indicators in the state of socio-ecological-economic systems and the quality of life of the population is traced. The dynamics of the calculated indicators is given in the figures. Recommendations are given on the use of the results of an integrated assessment of the state of public health in managing the territorial development of the healthcare sector using GIS technologies.

Keywords

socio-ecological-economic system, healthcare, geographic information systems, Russian regions

References

  1. Allenov A.M., Medvedskaya D.R. The experience of using mathematical modeling in public health management. Russian Academy of Medical Sciences. Bulletin of the National Public Health Research Institute, 2012. No 4. P. 8–10 (in Russian).
  2. Berlyant A.M. Cartographic research method. Moscow: Moscow University Press, 1978. 257 p. (in Russian).
  3. Biggeri M., Mauro V. Towards a more ‘Sustainable’ Human Development Index: integrating the environment and freedom. Ecological Indicators, 2018. V. 91. P. 220–231. DOI: 10.1016/j.ecolind.2018.03.045.
  4. Bobylev S.N. Sustainable development indicators: A regional dimension. Manual on regional environmental policy. Moscow: Acropolis, CEPR, 2007. 60 p. (in Russian).
  5. Brousmichea D., Occellia F., Geninb M., Cunya D., Derama A., Laniera C. Spatialized composite indices to evaluate environmental health inequalities: Meeting the challenge of selecting relevant variables. Ecological Indicators, 2020 V. 111. April. 106023. DOI: https://doi.org/10.1016/j.ecolind.2019.106023.
  6. Cherepanova E.S., Kiseleva E.S., Perminov S.I., Tarasov A.V. Mathematical-cartographic modeling in socioeconomic mapping: peculiarities of data visualization. Geographical Bulletin, 2017. No 2 (41). P. 137–147. DOI: 10.17072/2079-7877-2017-2-137-147 (in Russian).
  7. Chistobaev A.I., Semenova Z.A. The evolution of scientific ideas about the quality of life of the population. Society. Environment. Development, 2013. No 3. P. 247–254 (in Russian).
  8. Chistobaev A.I., Semenova Z.A., Grudtcyn N.A. Dynamics and strategic directions of public health preservation in Russian Federation. Entrepreneurship and Sustainability Issues, 2019. Iss. 6 (3). P. 1380–1392. DOI: 10.9770/jesi.2019.6.3(23).
  9. Dmitriev V.V., Ogurtsov A.N., Hovanov N.V., Osipov G.K., Kulesh V.P., Sergeyev Yu.N., Fedorova I.V. Integral assessment of condition and sustainability of socio-ecological-economic systems. Landscape modelling and secisions. Cham: Springer International Publishing, 2020. P. 48–79. DOI: 10.1007/978-3-030-37421-1_4.
  10. Dushkova D.O. Tikunov V.S., Chereshnya O.Yu. Methodology for assessing public health at the level of municipalities on the example of the Arkhangelsk region. Geography and Natural Resources, 2019. No 1. P. 127–136. DOI: 10.21782/GIPR0206-1619-2019-1(127–136) (in Russian).
  11. Feldman E.S. Medical and geographical research of the territory of Moldova. Chisinau: Shtiintsa, 1977. 169 p. (in Russian).
  12. Ignatiev E.I. Nodal issues of medical-geographical mapping. Principles and methods of medical-geographical mapping. Irkutsk: IGS and DV, 1968. P. 5–28 (in Russian).
  13. Keller A.A. Experience in compiling comprehensive maps of the spread of infectious diseases. Medical-geographical zoning and population health forecasting. Novosibirsk: Nauka, 1981. P. 81–84 (in Russian).
  14. Leading indicators for Healthy people: Final Report. Washington DC: National Academy of Sciences, 2010. 80 p.
  15. Malkhazova S.M. Medical-geographical analysis of territories: mapping, assessment, forecast. Moscow: Scientific World, 2001. 240 p. (in Russian).
  16. Naygovzina N.B., Filatov V.B. Assessment of the level of public health of the population. Healthcare Accountant Advisor, 2008. No 3 (in Russian).
  17. Ogurtsov A.N., Dmitriev V.V. Integral assessment and geoinformation analysis of social determinants of the health of the population of the far north of the European part of the Russian Federation. InterCarto. InterGIS. GI support of environmental, economic and social aspects of sustainable development: Proceedings of the International conference. Moscow: Moscow University Press, 2019. V. 25. No 1. P. 23–34. DOI: 10.35595/2414-9179-2019-1-25-23-34 (in Russian).
  18. Problems of health and social development of the Arctic zone of Russia. Moscow: Paulsen, 2011. 472 p. (in Russian).
  19. Pospelov V.P. Landscape epidemiological atlas of the European part of the RSFRS, the Urals and the Crimean region of the Ukrainian SSR. Moscow: GUGK, 1987. 162 p. (in Russian).
  20. Pospelov V.P. Medical geographical atlas of the Krasnoyarsk Territory. Krasnoyarsk: GUGK, 1970. 41 p. (in Russian).
  21. Prokhorov B.B. Principles and methods of compiling maps of a comprehensive medical and geographical assessment of territories. Principles and methods of medical and geographical mapping. Irkutsk: IGS and DV, 1968. P. 154–184 (in Russian).
  22. Prokhorov B.B., Tikunov V.S. Public health in the regions of Russia. Geography and Resources, 2005. No 2. P. 26–33 (in Russian).
  23. Ramonov A.V. Analysis of the health status of the population of Russia using integrated indicators. Journal of Social Research, 2012. V. 335. No 3. P. 104–116 (in Russian).
  24. Semenova Z.A. Monitoring, expert assessment and classification of indicators of public health in the region. Socio-economic geography. Bulletin of the Association of Russian Geographers Social Scientists, 2019. No 8. P. 96–105 (in Russian).
  25. Semenova Z.A., Chistobaev A.I. Medical geography and public health. Monograph. St. Petersburg: St. Petersburg Scientific Center, RAS, St. Petersburg State University, Publishing house “European House”, 2015. 252 p. (in Russian).
  26. Skaterschikov S.V. 15 years of using GIS technology in the development of territorial planning documents. Territory Development Management, 2007. No 1. P. 23–28 (in Russian).
  27. Skaterschikov S.V., Tyasto S.Ya. Information support for the development of territorial planning documentation of a subject of the Russian Federation. ArcReview, 2007. No 4. P. 5–8. (in Russian).
  28. Shevchenko V.A. Medical-geographical mapping of the territory of Ukraine. Kiev: Naukova Dumka, 1994. 158 p. (in Russian).
  29. Vyazmin A.M., Sannikov A.L., Mordovsky E.A. Leading determinants of public health in the Arctic territories of the European north of Russia. Arctic and North, 2012. No 7. P. 97–112 (in Russian).
  30. WHO — World Health Organization. The global Burden of disease: 2004 update. Geneva: WHD, 2008. 160 p.
  31. Wilson I.D., Ware J.M., Ware J.A. A genetic algorithm approach to cartographic map generalization. Computers in Industry, 2003. V. 52. Iss. 3. 2003. P. 291–304.
  32. Zhukova N.V. Indicators of social development as a tool for social programming: foreign experience. Sociology, 1994. No 3–4. P. 110–153 (in Russian).

For citation: Chistobaev A.I., Dmitriev V.V., Semenova Z.A., Ogurtsov A.N., Grudtcyn N.A. Integral assessment and cartographic modeling of public health as an indicator of life guality. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: Moscow University Press, 2020. V. 26. Part 3. P. 91–104. DOI: 10.35595/2414-9179-2020-3-26-91-104 (in Russian)