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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">caht</journal-id><journal-title-group><journal-title xml:lang="ru">Научный вестник МГТУ ГА</journal-title><trans-title-group xml:lang="en"><trans-title>Civil Aviation High Technologies</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2079-0619</issn><issn pub-type="epub">2542-0119</issn><publisher><publisher-name>Moscow State Technical University of Civil Aviation (MSTU CA)</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">caht-859</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>СТОХАСТИЧЕСКАЯ МОДЕЛЬ ДИНАМИКИ ЭПИДЕМИИ</article-title><trans-title-group xml:lang="en"><trans-title>A STOCHASTIC MODEL OF EPIDEMIC</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Овсянникова</surname><given-names>Н. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Ovsyannikova</surname><given-names>N. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>кандидат физико-математических наук, доцент кафедры прикладной математики</p></bio><email xlink:type="simple">natmat68@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>МГТУ ГА</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2016</year></pub-date><pub-date pub-type="epub"><day>27</day><month>12</month><year>2016</year></pub-date><volume>0</volume><issue>224</issue><fpage>107</fpage><lpage>114</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Овсянникова Н.И., 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Овсянникова Н.И.</copyright-holder><copyright-holder xml:lang="en">Ovsyannikova N.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://avia.mstuca.ru/jour/article/view/859">https://avia.mstuca.ru/jour/article/view/859</self-uri><abstract><p>Строится детерминированная модель динамики неуправляемого эпидемиологического процесса. Затем, считая, что коэффициент , характеризующий частоту встреч и вероятность заражения при встрече, подвержен воздействию случайных факторов, введем для него слагаемое, учитывающее влияние случайного возмущения. Получим стохастическую модель эпидемии. Сравнивая детерминированную и стохастическую модели, найдем допустимые границы для возмущенного коэффициента при условии, что максимальное отклонение динамических переменных не должно превышать 5 %.</p></abstract><trans-abstract xml:lang="en"><p>First let's construct the determined model of the dynamic of uncontrolled epidemiological process. The quotient β describes frequency of meetings of sick people with healthy and probability of infection. It is subject to action of random factors. Let's enter an item for it which will take into account the influence of a random destabilization. We'll have stochastic model of epidemic. Comparing the determined and stochastic models, we'll find admissible borders for destabilizing quotient σ if the maximum deviation of dynamic variables can not be higher than 5 %.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Динамика эпидемии</kwd><kwd>детерминированная неконтролируемая модель эпидемии</kwd><kwd>стохастическая модель эпидемии</kwd><kwd>дестабилизирующий фактор</kwd><kwd>возмущенный коэффициент</kwd></kwd-group><kwd-group xml:lang="en"><kwd>the dynamic of epidemic</kwd><kwd>the determined uncontrolled model of epidemic</kwd><kwd>stochastic model of epidemic</kwd><kwd>destabilizing quotient</kwd><kwd>perturbed coefficient</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">Kuznetsov D.F. Numerical modeling of stochastic differential equations and stochastic integrals St. Petersburg: Science. 1999. 459 p. (in Russian).</mixed-citation><mixed-citation xml:lang="en">Kuznetsov D.F. Numerical modeling of stochastic differential equations and stochastic integrals St. Petersburg: Science. 1999. 459 p. (in Russian).</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Dmitrieva O.N. A stochastic model of the dynamics of the forests. Collection of proceedings. Tver. 2006. 187 p. (in Russian).</mixed-citation><mixed-citation xml:lang="en">Dmitrieva O.N. A stochastic model of the dynamics of the forests. Collection of proceedings. Tver. 2006. 187 p. (in Russian).</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
