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<article 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" article-type="research-article" dtd-version="1.1d1" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher">Problems of Social Hygiene, Public Health and History of Medicine</journal-id><journal-title-group><journal-title>Problems of Social Hygiene, Public Health and History of Medicine</journal-title></journal-title-group><issn publication-format="print">0869-866X</issn><issn publication-format="electronic">2412-2106</issn><publisher><publisher-name>Joint-Stock Company Chicot</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">183</article-id><article-id pub-id-type="doi">10.32687/0869-866X-2019-27-5-836-840</article-id><article-categories><subj-group subj-group-type="heading"><subject>Научная статья</subject></subj-group></article-categories><title-group><article-title>The effect of medical economic factors on common morbidity of population of the Republic of Bashkortostan</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Iashchuk</surname><given-names>A. G.</given-names></name><bio></bio><email>-</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Lakman</surname><given-names>I. A.</given-names></name><bio></bio><email>-</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Turutina</surname><given-names>A. D.</given-names></name><bio></bio><email>-</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Askarov</surname><given-names>R. A.</given-names></name><bio></bio><email>-</email><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Davletnurov</surname><given-names>N. Kh.</given-names></name><bio></bio><email>-</email><xref ref-type="aff" rid="aff-4"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Askarova</surname><given-names>Z. F.</given-names></name><bio></bio><email>zagira_a@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff id="aff-1">The Federal State Budget Educational Institution of Higher Education “The Bashkir State Medical University” of Minzdrav of Russia</aff><aff id="aff-2">The Federal State Budget Educational Institution of Higher Education “The Ufa State Aviation Technical University”</aff><aff id="aff-3">The Federal State Budget Educational Institution of Higher Education “The S. Ordzhonikidze Russian State Geological Prospecting University”</aff><aff id="aff-4">The Board of Rospotrebnadzor in the Republic of Bashkortostan</aff><pub-date date-type="epub" iso-8601-date="2019-12-15" publication-format="electronic"><day>15</day><month>12</month><year>2019</year></pub-date><volume>27</volume><issue>5</issue><fpage>836</fpage><lpage>840</lpage><history><pub-date date-type="received" iso-8601-date="2021-04-06"><day>06</day><month>04</month><year>2021</year></pub-date></history><permissions><copyright-statement>Copyright © 2019,</copyright-statement><copyright-year>2019</copyright-year></permissions><abstract>The assessment was applied to degree of impact of medical social factors on morbidity of total population according appealability in the Republic of Bashkortostan, considering their spatial temporal distribution. The database of the Federal Information Fund for Social and Hygienic Monitoring (Automated Information System “Social and Hygienic Monitoring”) of the Department of Rospotrebnadzor and data of official statistical forms of the Territorial Board of the Federal State Statistics Service in the Republic of Bashkortostan were used as source material for the study. The data was applied in case of presence of combination of observations on 54 municipalities and 8 urban okrugs in the dynamics for 2000-2015. The panel regression analysis of was applied as research tool. The results of modeling can be considered in developing target programs of reducing morbidity in particular municipality of the region.</abstract><kwd-group xml:lang="en"><kwd>morbidity</kwd><kwd>cluster analysis</kwd><kwd>panel data analysis</kwd><kwd>space-time distribution</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>заболеваемость всего населения</kwd><kwd>кластерный анализ</kwd><kwd>анализ панельных данных</kwd><kwd>пространственно-временное распределение</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Коровин С. А., Кулеш Д. В., Хаптанова В. А., Ильин В. П., Лебедева Л. Н., Черкашина А. Г. Динамика показателей заболеваемости населения г. Иркутска в период социально-экономических реформ. Бюллетень ВСНЦ СО РАМН. 2012;(5):372-4.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Ведышева Т. В. Комплексная оценка факторов среды обитания и здоровья населения (на примере городов Иркутской обл.). 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