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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">inovmed</journal-id><journal-title-group><journal-title xml:lang="ru">Инновационная медицина Кубани</journal-title><trans-title-group xml:lang="en"><trans-title>Innovative Medicine of Kuban</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2541-9897</issn><publisher><publisher-name>Scientific Research Institute – Ochapovsky Regional Clinical Hospital No. 1</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.35401/2541-9897-2022-25-4-39-46</article-id><article-id custom-type="elpub" pub-id-type="custom">inovmed-600</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>ОРИГИНАЛЬНЫЕ СТАТЬИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ORIGINAL ARTICLES</subject></subj-group></article-categories><title-group><article-title>Половозрастная структура смертности от COVID-19</article-title><trans-title-group xml:lang="en"><trans-title>Gender and age structure of mortality caused by COVID-19</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3281-3909</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Корхмазов</surname><given-names>В. Т.</given-names></name><name name-style="western" xml:lang="en"><surname>Korkhmazov</surname><given-names>V. T.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Корхмазов Валерий Тамазович, к. м. н., ассистент кафедры общественного здоровья и здравоохранения, факультетповышения квалификации и профессиональной переподготовки специалистов</p><p> 353915, Новороссийск, ул. Революции 1905 года, 30 </p></bio><bio xml:lang="en"><p>Valery T. Korkhmazov, Cand. Sci. (Med.), Assistant, Department of Public Health and Health Care, Faculty of Professional Training and Retraining of Specialists </p><p>30, Revolutsii 1905 goda str., Novorossiysk, 353915 </p></bio><email xlink:type="simple">korxmazov@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/0000-0002-7136-5571</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Алексеенко</surname><given-names>С. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Alekseenko</surname><given-names>S. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Алексеенко Сергей Николаевич, д. м. н., ректор</p><p>353915, Новороссийск, ул. Революции 1905 года, 30 </p></bio><bio xml:lang="en"><p> Sergey N. Alekseenko, Dr. Sci. (Med.), Rector </p><p>30, Revolutsii 1905 goda str., Novorossiysk, 353915 </p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4134-3371</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Перхов</surname><given-names>В. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Perkhov</surname><given-names>V. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Перхов Владимир Иванович, д. м. н., доцент, главный научный сотрудник </p><p>Москва </p></bio><bio xml:lang="en"><p>Vladimir I. Perkhov, Dr. Sci. (Med.), Associate Professor, Chief Research Fellow </p><p>Moscow </p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Кубанский государственный медицинский университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Kuban State Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Центральный научно-исследовательский институт организации и информатизации здравоохранения</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Federal Research Institute for Health Organization and Informatics of the Ministry of health of the Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>30</day><month>12</month><year>2022</year></pub-date><volume>0</volume><issue>4</issue><fpage>39</fpage><lpage>46</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Корхмазов В.Т., Алексеенко С.Н., Перхов В.И., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Корхмазов В.Т., Алексеенко С.Н., Перхов В.И.</copyright-holder><copyright-holder xml:lang="en">Korkhmazov V.T., Alekseenko S.N., Perkhov V.I.</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.innovmedkub.ru/jour/article/view/600">https://www.innovmedkub.ru/jour/article/view/600</self-uri><abstract><p>Введение: Политика государства по снижению смертности населения Российской Федерации (РФ) требует учета региональных особенностей смертности в субъектах РФ по полу и возрасту. Региональный профиль мужской и женской смертности также следует учитывать при разработке мер, направленных на профилактику различных заболеваний, в том числе инфекционных. В этой связи актуальны исследования половозрастных показателей смертности населения в периоды инфекционных пандемий.Цель исследования: Анализ половозрастных показателей смертности от COVID-19 в 2021 г. с целью обоснования оптимальных управленческих решений в сфере организации медицинской помощи и статистического учета случаев смерти при пандемическом распространении опасных вирусных инфекций.Материал и методы: Источником информации о смертности в 2020 г. являлись данные государственной статистики смертности Росстата, в 2021 г. – записи о случаях смерти из Федеральной государственной информационной системы «Единый государственный реестр регистрации актов текущего состояния» (ФГИС «ЕГР ЗАГС»). Для оценки полученной информации использовались простые (невзвешенные) среднеарифметические величины, удельные веса значений показатели, среднеквадратическое (стандартное) отклонение от средних величин, коэффициент вариации (мера разброса значений признака – отношение стандартного отклонения к среднеарифметической величине).Результаты: В 2021 г. у 17,3% от суммарного числа всех умерших в качестве первоначальной причины смерти была указана «новая коронавирусная инфекция COVID-19», из них женщин – 248134 (58,5%), мужчин – 176116 (41,5%). Коэффициент смертности от COVID-19 в среднем увеличивался в 1,7 раза при переходе от одной пятилетней возрастной группы к другой, в возрасте 60 лет и старше находилось 85% умерших от COVID-19. В 2021 г. коронавирусная инфекция СOVID-19 повлияла на увеличение показателей смертности среди женщин больше, чем у мужчин, что не согласуется с данными о гендерной структуре смертности от COVID-19 в других странах, а также с распространенным мнением о том, что мужской пол более уязвим к данной инфекции.Выводы: Темпы роста смертности от COVID-19, в зависимости от возраста, напоминают скорость старения, отражающую биологическую природу смертности. Общая избыточная смертность является лучшей основой для оценки изменений в состоянии здоровья населения в периоды пандемий, чем смертность только от COVID-19. Необходима организация систематических проверок правильности кодирования причин смерти при государственной регистрации смерти.Ограничения: данные ФГИС «ЕГР ЗАГС» могут отличаться от данных Росстата, которые в 2022 г. стали доступны профессиональным исследователям в более поздние сроки, чем информация федеральной государственной информационной системы.</p></abstract><trans-abstract xml:lang="en"><p>Introduction: The policy of mortality decline of the population of Russia, pursued by the state, requires consideration of the regional peculiarities of mortality in territorial subjects of the Russian Federation by gender and age. The regional situation on male and female mortality also should be considered when developing the measures directed to prevent various diseases including infectious ones. In this regard, the studies of gender and age indicators of mortality during the periods of infectious pandemics become relevant.Objective: The analysis of gender and age rates of COVID-19 mortality in 2021 in order to substantiate the best management decisions in the sphere of the organization of medical care and statistical registration of lethal outcomes during the pandemic spread of dangerous viral infections.Material and methods: The main source of information on mortality in 2020 is data of the State Statistics of Mortality of Rosstat. The data on mortality in 2021 are presented in the records on death cases in Federal State Information System “Unified State Register of Registration of Acts of Current State”. To evaluate the obtained data, simple (unweighted) arithmetic mean values, specific indicators, a root mean square (standard) deviation of the mean values, coefficient of variation were used (a measure of the spread of attribute values – the ratio of a standard deviation to the arithmetic-mean).Results: In 2021 17.3% of total number of all deaths had COVID-19 as an initial cause of death. 248,134 cases of those were women (58.5%), 176,116 cases were men (41.5%). The mortality rate from COVID-19 increased by an average 1.7 times upon transition from one five-year-old age group to another, 85% of those who died from COVID-19 were aged 60 years and older. In 2021 the coronavirus infection of COVID-19 contributed significantly to female mortality more, than male mortality, which is inconsistent with the data on gender structure of COVID-19 mortality in other countries, as well as with the widespread belief that men are more vulnerable to this infection.Conclusions: Growth rates of COVID-19 mortality depending on age resembles the aging rate, reflecting the biological nature of mortality. Total excess mortality is the better basis for assessment of changes in the population health during pandemics, than mortality from COVID-19 alone. The organization of systematic checks of correctness of coding the causes of death at the state registration of death is necessary.Restrictions: Data of the Federal State Information System “Unified State Register of Registration of Acts of Current State” can differ from data of Rosstat which in 2022 became available to professional researchers later, than data of the Federal State Information System “Unified State Register of Registration of Acts of Current State”.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>смертность населения</kwd><kwd>смертность населения от COVID-19</kwd><kwd>пандемия COVID-19</kwd><kwd>проблемы кодирования причин смерти</kwd></kwd-group><kwd-group xml:lang="en"><kwd>population mortality</kwd><kwd>population mortality from COVID-19</kwd><kwd>COVID-19 pandemic</kwd><kwd>problems of coding causes of death</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">Перхов В.И., Гриднев О.В. 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