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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">1836</article-id><article-id pub-id-type="doi">10.32687/0869-866X-2023-31-3-315-318</article-id><article-categories><subj-group subj-group-type="heading"><subject>Научная статья</subject></subj-group></article-categories><title-group><article-title>THE RESULTS OF ANALYSIS OF MORBIDITY AND MORTALITY OF POPULATION IN CONDITIONS OF COVID-19 PANDEMIC</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Khabriev</surname><given-names>R. U.</given-names></name><email></email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Schepin</surname><given-names>V. O.</given-names></name><email></email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Kalininskaya</surname><given-names>A. A.</given-names></name><email></email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Allenov</surname><given-names>A. M.</given-names></name><email></email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Lazarev</surname><given-names>A. V.</given-names></name><email></email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Kizeev</surname><given-names>M. V.</given-names></name><email></email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Vasilyeva</surname><given-names>T. P.</given-names></name><email></email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff id="aff-1">N. A. Semashko National Research Institute of Public Health, 105064, Moscow, Russia</aff><pub-date date-type="epub" iso-8601-date="2023-06-29" publication-format="electronic"><day>29</day><month>06</month><year>2023</year></pub-date><volume>31</volume><issue>3</issue><fpage>315</fpage><lpage>318</lpage><history><pub-date date-type="received" iso-8601-date="2025-07-03"><day>03</day><month>07</month><year>2025</year></pub-date></history><permissions><copyright-statement>Copyright © 2023,</copyright-statement><copyright-year>2023</copyright-year></permissions><abstract>The COVID-19 pandemic has its own objective features associated with density of residence, organization and accessibility of medical care, migration characteristics of population, etc. Therefore, analysis of current situation with coronavirus in the Russian Federation, its Federal Okrugs and subjects is needed. The coronavirus infection resulted in significant changes in indicators of primary morbidity and mortality of population of the Russian Federation. The purpose of the study — to apply the results of analysis of primary morbidity of population of Moscow, the Central Federal Okrug and the Russian Federation in conditions of COVID-19 pandemic in developing recommendations on population health preservation. The monographic, statistical, analytical methods were applied. The official statistics data of Minzdrav of Russia and Rosstat were used. The comparative analysis of for the first time diagnosed morbidity (in 2020) in Moscow, the Central Federal Okrug and the Russian Federation established similar distribution of incidence rates for three key classes of diseases. The first rank place took respiratory diseases, the second one took traumas, poisoning and some other consequences of external causes and the third rank place took COVID-19. The decreasing of primary morbidity of population in the Russian Federation in 2019–2020 was established for almost all classes of diseases that is related to diminishing of dispensary and preventive activities concerning population. The morbidity rate of COVID-19 in the Federal Okrugs of the Russian Federation is presented. The ranking of subjects of the Russian Federation according to indicators of established pandemic was applied. The difference between the highest and the lowest morbidity rates of COVID-19 in the subjects of the Russian Federation made up to 16.8 times. The analysis established that COVID-19 determined increasing of life losses because of respiratory diseases (pneumonia in particular); circulatory system diseases (ischemic heart disease in particular); diabetes mellitus, etc. The statistical accounting of causes of death associated with COVID-19 is not accompanied by noticeable improvement of coding quality of other causes of death. The results of the analysis is be applied in developing management decisions.</abstract><kwd-group xml:lang="en"><kwd>mortality</kwd><kwd>morbidity</kwd><kwd>COVID-19 pandemic</kwd><kwd>classes of diseases</kwd><kwd>nosologic forms</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>смертность</kwd><kwd>заболеваемость</kwd><kwd>пандемия COVID-19</kwd><kwd>классы болезней</kwd><kwd>нозологические формы</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Есипов А. В., Алехнович А. В., Абушинов В. В. COVID-19: первый опыт оказания медицинской помощи и возможные решения проблемных вопросов (обзор). Госпитальная медицина: наука и практика. 2020;1(1):5—8.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Груздева О. А. Об особенностях демографической политики в России в условиях пандемии. 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