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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">geomgou</journal-id><journal-title-group><journal-title xml:lang="ru">Географическая среда и живые системы</journal-title><trans-title-group xml:lang="en"><trans-title>Geographical Environment and Living Systems</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2712-7613</issn><issn pub-type="epub">2712-7621</issn><publisher><publisher-name>Московский государственный областной университет</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">geomgou-1340</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title></article-title><trans-title-group xml:lang="en"><trans-title>GEOINFORMATION SYSTEM "PUBLIC HEALTH IN THE REGIONS OF RUSSIA IN COMPARISON WITH THE REGIONS OF EURASIA"</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2245-1123</contrib-id><name-alternatives><name name-style="western" xml:lang="en"><surname>Panin</surname><given-names>Alexander</given-names></name></name-alternatives><bio xml:lang="en"><p>PhD in Geography, Associate Professor, Faculty of Geography, Lomonosov Moscow State University</p></bio><email xlink:type="simple">alex_panin@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1597-6909</contrib-id><name-alternatives><name name-style="western" xml:lang="en"><surname>Tikunov</surname><given-names>Vladimir</given-names></name></name-alternatives><bio xml:lang="en"><p>Doctor of Geographical Sciences, Professor, Faculty of Geography</p></bio><email xlink:type="simple">vstikunov@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2758-9612</contrib-id><name-alternatives><name name-style="western" xml:lang="en"><surname>Shartova</surname><given-names>Natalia</given-names></name></name-alternatives><bio xml:lang="en"><p>PhD in geography, Leading Researcher, International Laboratory of Landscape Ecology, Department of Geography</p></bio><email xlink:type="simple">shartova@yandex.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3903-0376</contrib-id><name-alternatives><name name-style="western" xml:lang="en"><surname>Vatlina</surname><given-names>Tamara</given-names></name></name-alternatives><bio xml:lang="en"><p>PhD in geography, Associate Professor, Department of Geography</p></bio><email xlink:type="simple">vatlina_geo@mail.ru</email><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Gaidukov</surname><given-names>Vladislav</given-names></name></name-alternatives><bio xml:lang="en"><p>Leading Engineer, Research Laboratory of Integrated Mapping</p></bio><email xlink:type="simple">gayd.vladislav2013@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>Lomonosov Moscow State University</institution><country>Russian Federation</country></aff><aff xml:lang="en" id="aff-2"><institution>National Research University Higher School of Economics</institution><country>Russian Federation</country></aff><aff xml:lang="en" id="aff-3"><institution>Smolensk State University</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>06</day><month>05</month><year>2025</year></pub-date><volume>0</volume><issue>4</issue><fpage>139</fpage><lpage>162</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Panin A., Tikunov V., Shartova N., Vatlina T., Gaidukov V., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Panin A., Tikunov V., Shartova N., Vatlina T., Gaidukov V.</copyright-holder><copyright-holder xml:lang="en">Panin A., Tikunov V., Shartova N., Vatlina T., Gaidukov V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.geoecosreda.ru/jour/article/view/1340">https://www.geoecosreda.ru/jour/article/view/1340</self-uri><trans-abstract xml:lang="en"><sec><title>Abstract</title><p>Abstract</p></sec><sec><title>Aim</title><p>Aim. To analyse the level of population health on the basis of the public health index, to compare indicators on a multi-scale level using publicly available demographic indicators.</p></sec><sec><title>Methodology</title><p>Methodology. As part of the study, a statistical database of demographic indicators was collected, which includes data on infant mortality and life expectancy in the regions of the Eurasian countries. Three main periods of statistical accounting have been selected ‒ 2010, 2015, 2019, all statistical data have been unified and brought into line with the territory and time period.</p><p>All indicators at the regional level of countries were analyzed, compared and evaluated. The result was a database of demographic data for each region from 96 countries of Eurasia (1264 territorial units), adapted for working in GIS.</p><p>At the next stage, data selection was performed and based on the selected set of indicators, by means of mathematical and cartographic modeling, the index values are calculated</p></sec><sec><title>Results</title><p>Results. Based on demographic indicators we calculated the integral indicator – The index of public health of the population (PHI) and we analyzed the quality of public health of the countries and regions of Eurasia. This work has a detailed analysis of the situation of public health of the population in all countries of Eurasia. The results of the study suggest that the growth of the public health index of the population is a global trend. Taking into account the dynamics over the past 10 years, the highest level of health belonged to the regions of European countries and some Asian countries. The number of regions with a low level of health (PHI below 0.55) has decreased over time. In 2010, poor public health was registered in the regions of seven countries, mainly in Asia. In 2015 and 2019, the same level of health was maintained only in the regions of 2 countries. The situation in Russia had some peculiarities of its own; the events of the 90s affected the level of public health and the steady growth that began only since 2001. The paper also analyzed in detail the assessment of the quality of public health in Russia, Mongolia and China, as a result of which the gap between the Chinese and Russian, Chinese and Mongolian regions became even more noticeable</p></sec><sec><title>Research implications</title><p>Research implications. The assessment of population health on the basis of the public health index allows to conduct comparative studies at the multiscale level using publicly available demographic indicators.</p><p>The conducted research has shown that the simplified algorithm for calculating the public health index gives results that are comparable to the full-scale algorithm, which means that the assessment procedure is accelerated and the speed of management decisions aimed at maintaining public health increases</p></sec></trans-abstract><kwd-group xml:lang="en"><kwd>geoinformation system</kwd><kwd>life expectancy</kwd><kwd>public health index</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Acheson, E.D. On the state of the public health // Public Health. 1998. Vol. 102(5), P. 431–437.</mixed-citation><mixed-citation xml:lang="en">Acheson, E.D. 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