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

Author:

Chistobaev Anatoly1,Dmitriev Vasiliy1,Semenova Zoya1,Ogurtsov Aleksander1,Grudtcyn Nikolai2

Affiliation:

1. Saint Petersburg State University, Institute of Earth Sciences, VI, 10th line, 33-35, 199178, St. Petersburg, Russia,

2. Saint Petersburg State University of Telecommunications, SEC POS, Moika River quay, 61, 191186, St. Petersburg, Russia

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.

Publisher

LLC Kartfond

Subject

General Engineering

Reference32 articles.

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.

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