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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">1505</article-id><article-id pub-id-type="doi">10.32687/0869-866X-2024-32-4-703-710</article-id><article-categories><subj-group subj-group-type="heading"><subject>Неопределен</subject></subj-group></article-categories><title-group><article-title>The modeling of measures of prevention and shaping proper behavior in population as tool of averting redundant risks of morbidity and mortality as exemplified by COVID-19 pandemic</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Fedorova</surname><given-names>Elena Anatolievna</given-names></name><email>ecolena@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Novikova</surname><given-names>Irina Igorevna</given-names></name><email>novik_ir70@rambler.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Romanenko</surname><given-names>Sergey Pavlovich</given-names></name><email>romanenko_sp@niig.su</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Kulikova</surname><given-names>Oksana Mikhailovna</given-names></name><email>grabko_lb@niig.su</email><xref ref-type="aff" rid="aff-2"/><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Nevredinov</surname><given-names>Alexander Rustamovich</given-names></name><email>a.r.nevredinov@gmail.com</email><xref ref-type="aff" rid="aff-4"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Usacheva</surname><given-names>Elena Vladimirovna</given-names></name><email>elenav.usacheva@yandex.ru</email><xref ref-type="aff" rid="aff-5"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Mikheev</surname><given-names>Valery Nikolaevich</given-names></name><email>mikheev_vn@niig.su</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff id="aff-1">The Federal State Educational Budget Institution “The Financial University under the Government of the Russian Federation”, 125167, Moscow, Russia</aff><aff id="aff-2">The Federal Budget Institution of Science “The Novosibirsk Research Institute of Hygiene” of Rospotrebnadzor, 630108, Novosibirsk, Russia</aff><aff id="aff-3">The Federal Budget Institution of Science “The Siberian State Automobile Road University”, 644080, Omsk, Russia</aff><aff id="aff-4">The Federal State Budget Educational Institution of Higher Education “The N. E. Bauman Moscow State Technical University”, 105005, Moscow, Russia</aff><aff id="aff-5">The Federal State Budget Educational Institution of Higher Education “The Omsk State Medical University” of Minzdrav of Russia, 644099, Omsk, Russia</aff><pub-date date-type="epub" iso-8601-date="2024-08-17" publication-format="electronic"><day>17</day><month>08</month><year>2024</year></pub-date><volume>32</volume><issue>4</issue><history><pub-date date-type="received" iso-8601-date="2025-04-23"><day>23</day><month>04</month><year>2025</year></pub-date><pub-date date-type="accepted" iso-8601-date="2025-04-23"><day>23</day><month>04</month><year>2025</year></pub-date></history><permissions><copyright-statement>Copyright © 2025,</copyright-statement><copyright-year>2025</copyright-year></permissions><abstract>&lt;p&gt;The article considers issues of how population behavior impacts realization of state anti-epidemic measures and efforts to control pandemic. Materials and Methods. The methodology of the study is based on such methods as text analysis, elastic network and construction of regression equations. The analysis of indicators characterizing state policy measures controlling pandemic was applied according to data from The Oxford COVID-19 Government Response Tracker portal. The behavioral reactions of population were assessed by text analysis of messages in Twitter and VKontakte social networks using the Rulexicon, tonalities dictionary of Russian language. The analysis of mobility was implemented on basis of data from Google Community Mobility Reports (GCMR). The study base includes data of March 12, 2020  August 1, 2021.&lt;br /&gt;It is established that in controlling pandemic the most effective is to apply combination of measures implemented at state level of the Ministry of Health and the Ministry of Economic Development of the Russian Federation that permits to compensate negative effect of quarantine regimen. In the Russian Federation,effect of self-isolation measures, organization of remote work of employees of enterprises, closure of schools, wearing masks is controversial and their incorrect application can contribute to virus propagation. The vaccination measures are also effective in reducing morbidity of disease, but they are characterized by lagging effect. The approval and acceptance by population anti-epidemic measures significantly impact efficiency of pandemic control.&lt;br /&gt;The study results can be applied in practice of implementation of anti-epidemic measures as a tool preventing excessive risks of population morbidity and mortality.&lt;/p&gt;</abstract><kwd-group xml:lang="en"><kwd>pandemic</kwd><kwd>COVID-19</kwd><kwd>state anti-epidemic measures</kwd><kwd>public policy measures</kwd><kwd>behavioral reaction</kwd><kwd>, mobility</kwd><kwd>social networks</kwd><kwd>text analysis</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>пандемия</kwd><kwd>COVID-19</kwd><kwd>государственные противоэпидемические мероприятия</kwd><kwd>меры государственной политики</kwd><kwd>поведенческая реакция</kwd><kwd>мобильность</kwd><kwd>социальные сети</kwd><kwd>текстовый анализ</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Niu Y., Li Zh., Meng L.,Wang Sh., Zhao Z., Song T. 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