85 research outputs found

    The measurement of sport culture identity development level

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    Management of students’ sport culture identity development in the process of sport oriented physical education should be based on provided information about the dynamics of its development objectively and quantitatively. The article presents the criteria and indicators of sport culture identity development and adequate techniques for their measurementΠ£ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠ΅ Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ спортивной ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρ‹ личности студСнтов Π² процСссС спортивно ΠΎΡ€ΠΈΠ΅Π½Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ физичСского воспитания Π΄ΠΎΠ»ΠΆΠ½ΠΎ ΠΎΡΡƒΡ‰Π΅ΡΡ‚Π²Π»ΡΡ‚ΡŒΡΡ с ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΠΉ ΠΈ количСствСнно прСдставляСмой ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΎ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅ Π΅Π΅ развития. Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдставлСны ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠΈ ΠΈ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ развития спортивной ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρ‹ личности ΠΈ Π°Π΄Π΅ΠΊΠ²Π°Ρ‚Π½Ρ‹Π΅ ΠΈΠΌ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ ΠΈΡ… ΠΈΠ·ΠΌΠ΅Ρ€Π΅Π½ΠΈ

    Features of statistical methods application in rating construction

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    The article is devoted to solving the problem of rating construction methodology, including issues of comparability in dynamics and inconsistency. The study analyzes approaches to the procedures for aggregating private components of the rating. Attention is focused on the shortcomings of ratings used in international and domestic practice as integral meters, among which are the incompleteness of information on the private components of ratings, an unacceptably high level of error in the development of ratings as integral meters and the lack of evaluation of their quality. The approach to rating construction on the basis of average weighted sum of ranks is offered. The ratio of the sum of the squares of the rank paired coefficients of the private rating to the total sum of the squares of the rank coefficients for all private ratings (the matrix of squares of rank correlations) is used as weights. The approach proposed by the authors, in contrast to the existing methodological approaches, makes it possible to build a rating in the absence of information about private components. The novelty of the study results lies in the method of estimating weights of private ratings as basic components of the rating. The article presents the results of construction a rating of the regions of the Central Federal District in Russia for achieving national goals in 2021 based on private ratings, which confirmed the adequacy of the proposed approach. The article may be of interest to a wide range of researchers in the field of statistics and regional economics

    Tourism as a Factor of Increased Competitiveness of the Region

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    The paper considers tourism and tourism operations as one of the key priorities of increased competitive strengths of Russian regions, their area, socio- economic status and image. One of the presented ways of sustainable and effective development of tourism industry of the region is the formation of large-scale interregional, international associations conducting their activities for increased main competitive indicators and living conditions. Thus, the main function of performers of tourism operations of the considered territory will be to control work of regional agencies of local government that promotes increased quality of tourist management and defines the key possible priorities of development of the issues to solve being as follows: -development of a procedure of sharing experiences between regions; -attraction of an investor and additional financial means in the course of development of travel industry; -Β creation and promotion of positive image of the district, region and tourist base; - development of interregional projects which are in physical proximity of territories that promotes increase number of tourist routes and increases the potential of regions. Keywords: region, competitiveness, tourism, interregional ties, innovations, state JEL Classifications: F43, L83, O4

    Changes in the reactivity of the vertebrobasilar arteries when using glucose-electrolyte drink with antioxidant plant extracts during submaximal exercise test

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    The aim. To assess the effect of glucose-electrolyte composition with plant extracts having antioxidant activity on the hemodynamic parameters of vertebrobasilar system during the incrementally increasing submaximal exercise test.Materials and methods. The study included 12Β athletes (6 candidates for master ofΒ sports and 6Β masters of sports) aged 18–22, who have been engaged in orienteering for 10Β years and more. Time of aerobic exercise – 2Β hours a day, five days a week. The study subjects performed anΒ incrementally increasing submaximal exercise test and also submaximal exercise test with the preventive intake of a glucose-electrolyte composition with plant extracts having antioxidant properties. To assess the hemodynamic parameters in all study subjects we used Doppler ultrasound ofΒ the cerebral vessels, evaluating vertebrobasilar system blood flow, exercise gas test in the modification of hypo- and hyperventilation, and also positional test.Results. A single intake of glucose-electrolyte drink under conditions of incrementally increasing exercise test contributed to the manifestation of a homeostatic effect in hemodynamic parameters of the vertebrobasilar arteries. It is evidenced byΒ theΒ approximation to the pre-exercise level ofΒ maximum systolic velocity andΒ average blood velocity in the breath-holding test, of the diastolic blood velocity inΒ theΒ hyperventilation test, and of the pulsatility index in the torsion test, as compared toΒ theΒ isolated submaximal exercise test which caused the change in both velocity indicators andΒ calculated indices during the functional tests.The article considers the main mechanisms underlying the change in arterial hemodynamic parameters caused by incrementally increasing load, as well as describes the proposed mechanisms arising from the combined effect of an incrementally increasing load and the intake of a glucose-electrolyte composition with plant extracts having antioxidant activity.Conclusion. It was shown that using glucose-electrolyte drink contributed to the restoration of hemodynamic parameters of the vertebrobasilar arteries after an incrementally increasing submaximal exercise test

    Abel Symposia

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    Discrete Morse theory has recently lead to new developments in the theory of random geometric complexes. This article surveys the methods and results obtained with this new approach, and discusses some of its shortcomings. It uses simulations to illustrate the results and to form conjectures, getting numerical estimates for combinatorial, topological, and geometric properties of weighted and unweighted Delaunay mosaics, their dual Voronoi tessellations, and the Alpha and Wrap complexes contained in the mosaics

    Quantification of C1 esterase inhibitor in human serum by enzyme-linked immunosorbent assay: Correlation with turbidimetric immunoassay

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    C1 inhibitor of serine proteases (C1-INH) performs a regulatory function in the complement system and vascular permeability. Deficiency of C1-INH leads to various forms of angioedema, including hereditary angioedema (HAE). The cause of HAE is a genetically determined violation of the synthesis of C1-INH. A decrease in the level of C1-INH to 50% relative to the norm leads to an increase in the production of bradykinin, which is the basis for the diagnosis of HAE. The development of affordable ELISA for the quantitative determination of C1-INH is a popular direction for clinicians. During the development of a new kit for quantitative determination of C1-INH, two mouse monoclonal antibodies (mAb) with different epitope specificities were obtained. On their basis, a sandwich-type ELISA was developed. The specificity of the obtained mAb's was confirmed using the medical device β€œBerinert”. To prepare calibrators, C1-INH was affinity purified from human blood plasma using a sorbent with immobilized mAbs. The identity of the C1-INH protein was confirmed by PAGE electrophoresis, immunoblotting, and mass spectrometry on MALDI-TOF/TOF UltrafleXtreme mass spectrometer. To assess the quality indicators of developed reagents kit, studies were carried out in accordance with GOST R 51352-2013 and TU 21.20.23-041-01967164-2022. Values of quality indicators: accuracy β€” 93.53%; measurement linearity interval β€” 22.00-176.07 ng/mL. Using the developed ELISA test system, we examined 28 blood sera from healthy donors and 7 blood sera from patients with confirmed HAE. In the same samples, the content of C1-INH was determined by turbidimetric method, using the "Diagnostic reagents for in vitro immunochemical studies of specific blood proteins. Model: C1-esterase inhibitor (C1 EsteraseInhibitor)" (Aptec, Belgium). The correlation coefficient was 0.94 (p < 0.05). It was found that the diagnostic sensitivity and specificity of the developed ELISA is 100%. As a result of the study, an original ELISA test system for the quantitative determination of C1-INH was developed "Reagent kit for enzyme-linked immunosorbent assay of human C1-inhibitor (C1-inh PS)"

    Π—Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡ‚ΡŒ Π³Ρ€ΠΈΠΏΠΏΠΎΠΌ Π² январС-ΠΌΠ°Ρ€Ρ‚Π΅ 2016 Π³. Π² Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ: эпидСмичСский ΠΈ пандСмичСский ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π» вируса Π³Ρ€ΠΈΠΏΠΏΠ° A(H1N1)pdm09

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    The World Health Organization (WHO) searches influenza virus circulation in community and in natural biocenosis, studies virus strains and their properties, develops diagnostic methods and preventive measures since 1940th worldwide because of epidemic actuality and high pandemic potential of the influenza virus. The Federal Influenza Center (including Federal Research Institute of Influenza, Saint-Petersburg, and the Center of Virus Ecology, D.I.Ivanovskiy Virology Institute, Honorary Academician N.F.GamaleyaFederal Research Center of Epidemiology and Microbiology, Federal Research Center for Epidemiology and Microbiology, Moscow) performs similar work in Russia in close cooperation with WHO within the framework of the International Programme of Influenza Monitoring. A(H1N1)pdm09 influenza virus dominated in the Northern Hemisphere in the 2015 – 2016 epidemic season. Morbidity growth was noted from the end of January, 2016, to the beginning of March, 2016. The peak morbidity at the 5th week of the year exceeded the epidemic threshold (132 cases per 10,000 of population) and morbidity in the 2014 – 2015 season significantly and approached to the peak morbidity of the 2009 – 2010 epidemic season. The epidemic growth in Russian Federation was provided by three influenza viruses: A(H1N1)pdm09, Π’ and A (H3N2). A(H1N1)pdm09 virus caused 18% of all acute respiratory diseases and accounted for 84% of circulating influenza viruses.Flu was diagnosed in patients of different age with maximal frequency in 3- to 6-year old children. Peak admission number was registered at 5 and 6 weeks (3,538 and 4,109 cases, respectively); this number exceeded the similar parameter of the 2009 – 2010 season. Patients of 15 to 64 years old were admitted more often including those with acute respiratory infection. Two hundred and thirty nine deaths were registered to the 5th of April, 2016, according to data from the Federal Influenza Center and the Center of Virus Ecology. The diagnosis of A(H1N1)pdm09 flu was confirmed in 97.9% of deaths. Molecular analysis of isolated strains of A(H1N1)pdm09 influenza virus revealed amino acid substitutions in receptor binding site and SA site of hemagglutinin and in genes coding intrinsic proteins PA, NP, M1, and NS1. Influenza virus strains resistive to anti-neuraminidase drugs were encountered in #< 1% in the Northern Hemisphere countries. No strains studied were sensitive to adamantine derivates.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. Π‘ 1947 Π³. Π² связи с эпидСмичСской Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒΡŽ ΠΈ высоким пандСмичСским ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»ΠΎΠΌ вируса Π³Ρ€ΠΈΠΏΠΏΠ° Ρ‚ΠΈΠΏΠ° А ΠΏΠΎ ΠΈΠ½ΠΈΡ†ΠΈΠ°Ρ‚ΠΈΠ²Π΅ ВсСмирной ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ здравоохранСния (Π’ΠžΠ—) ΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΎΠ²Π°Π½Π° Π“Π»ΠΎΠ±Π°Π»ΡŒΠ½Π°Ρ систСма ΠΏΠΎ Π½Π°Π΄Π·ΠΎΡ€Ρƒ Π·Π° Π³Ρ€ΠΈΠΏΠΏΠΎΠΌ ΠΈ ΠΎΡ‚Π²Π΅Ρ‚Ρƒ (Global Influenza Surveillance and Response System – GISRS), которая Π² настоящСС врСмя прСдставлСна 6 ΡΠΎΡ‚Ρ€ΡƒΠ΄Π½ΠΈΡ‡Π°ΡŽΡ‰ΠΈΠΌΠΈ Ρ†Π΅Π½Ρ‚Ρ€Π°ΠΌΠΈ ΠΏΠΎ Π³Ρ€ΠΈΠΏΠΏΡƒ, 143 Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΌΠΈ Ρ†Π΅Π½Ρ‚Ρ€Π°ΠΌΠΈ ΠΏΠΎ Π³Ρ€ΠΈΠΏΠΏΡƒ Π² 113 странах, Π° Ρ‚Π°ΠΊΠΆΠ΅ производитСлями Π³Ρ€ΠΈΠΏΠΏΠΎΠ·Π½Ρ‹Ρ… Π²Π°ΠΊΡ†ΠΈΠ½. Российская ЀСдСрация прСдставлСна Π² этой систСмС двумя Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΌΠΈ Ρ†Π΅Π½Ρ‚Ρ€Π°ΠΌΠΈ – Π€Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½Ρ‹ΠΌ Ρ†Π΅Π½Ρ‚Ρ€ΠΎΠΌ ΠΏΠΎ Π³Ρ€ΠΈΠΏΠΏΡƒ (Π€Π¦Π“) Π€Π“Π‘Π£ «Научно-ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΡΠΊΠΈΠΉ институт Π³Ρ€ΠΈΠΏΠΏΠ°Β» ΠœΠΈΠ½Π·Π΄Ρ€Π°Π²Π° России (Π‘Π°Π½ΠΊΡ‚-ΠŸΠ΅Ρ‚Π΅Ρ€Π±ΡƒΡ€Π³) ΠΈ Π¦Π΅Π½Ρ‚Ρ€ΠΎΠΌ экологии ΠΈ эпидСмиологии Π³Ρ€ΠΈΠΏΠΏΠ° (Π¦Π­Π­Π“) Π˜Π½ΡΡ‚ΠΈΡ‚ΡƒΡ‚Π° вирусологии ΠΈΠΌ. Π”.И.Ивановского Π€Π“Π‘Π£ Β«Π€Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½Ρ‹ΠΉ Π½Π°ΡƒΡ‡Π½ΠΎ-ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΡΠΊΠΈΠΉ Ρ†Π΅Π½Ρ‚Ρ€ эпидСмиологии ΠΈ ΠΌΠΈΠΊΡ€ΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈΠΌΠ΅Π½ΠΈ ΠΏΠΎΡ‡Π΅Ρ‚Π½ΠΎΠ³ΠΎ Π°ΠΊΠ°Π΄Π΅ΠΌΠΈΠΊΠ° Н.Π€.Π“Π°ΠΌΠ°Π»Π΅ΠΈΒ» ΠœΠΈΠ½Π·Π΄Ρ€Π°Π²Π° России (Москва). Оба Ρ†Π΅Π½Ρ‚Ρ€Π° ΠΎΡΡƒΡ‰Π΅ΡΡ‚Π²Π»ΡΡŽΡ‚ Π΅ΠΆΠ΅Π½Π΅Π΄Π΅Π»ΡŒΠ½Ρ‹ΠΉ Π½Π°Π΄Π·ΠΎΡ€ Π·Π° циркуляциСй вирусов Π³Ρ€ΠΈΠΏΠΏΠ° Π² 59 Π³ΠΎΡ€ΠΎΠ΄Π°Ρ… Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ ΠΏΡ€Π΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅Ρ‚ Π°Π½Π°Π»ΠΈΠ· заболСваСмости, госпитализации, Π»Π΅Ρ‚Π°Π»ΡŒΠ½Ρ‹Ρ… случаСв ΠΎΡ‚ Π³Ρ€ΠΈΠΏΠΏΠ° ΠΈ острой рСспираторной вирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ (ΠžΠ Π’Π˜) Π² Ρ€Π°Π·Π½Ρ‹Ρ… возрастных Π³Ρ€ΡƒΠΏΠΏΠ°Ρ…, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ диагностики с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΡˆΠΈΡ€ΠΎΠΊΠΎΠ³ΠΎ спСктра Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½Ρ‹Ρ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ². ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ странах Π‘Π΅Π²Π΅Ρ€Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ»ΡƒΡˆΠ°Ρ€ΠΈΡ Π² эпидСмичСском сСзонС 2015–2016 Π³Π³. Π² этиологии подъСма заболСваСмости Π΄ΠΎΠΌΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π» вирус Π³Ρ€ΠΈΠΏΠΏΠ° A(H1N1)pdm09. ПодъСм заболСваСмости Π³Ρ€ΠΈΠΏΠΏΠΎΠΌ Π² России зарСгистрирован с ΠΊΠΎΠ½Ρ†Π° января Π΄ΠΎ Π½Π°Ρ‡Π°Π»Π° ΠΌΠ°Ρ€Ρ‚Π° 2016 Π³. ΠŸΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŒ заболСваСмости Π½Π° ΠΏΠΈΠΊΠ΅ эпидСмии (5-я нСдСля 2016 Π³.), Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ прСвысив эпидСмичСский ΠΏΠΎΡ€ΠΎΠ³ (132 случая Π½Π° 10 тыс. насСлСния) ΠΈ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ сСзона 2014–2015 Π³Π³., ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½ Π½Π° ΡƒΡ€ΠΎΠ²Π½Π΅ эпидСмичСского сСзона 2009–2010 Π³Π³. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π­Ρ‚ΠΈΠΎΠ»ΠΎΠ³ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ структуру эпидСмичСского подъСма заболСваСмости Π² Π Π€ ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΠ»ΠΈ 3 вируса Π³Ρ€ΠΈΠΏΠΏΠ° – A(H1N1)pdm09, Π’ ΠΈ A(H3N2) ΠΏΡ€ΠΈ Ρ€Π°Π·Π½ΠΎΠΌ Π΄ΠΎΠ»Π΅Π²ΠΎΠΌ участии. Π“Ρ€ΠΈΠΏΠΏ A(H1N1)pdm09 Π² структурС ΠžΠ Π’Π˜ составила 18,0 %, Π² структурС Ρ†ΠΈΡ€ΠΊΡƒΠ»ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… вирусов Π³Ρ€ΠΈΠΏΠΏΠ° – 84,0 %. Π—Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡ‚ΡŒ зарСгистрирована Π²ΠΎ всСх возрастных Π³Ρ€ΡƒΠΏΠΏΠ°Ρ…. Π‘α½ΉΠ»ΡŒΡˆΠ°Ρ Π²ΠΎΠ²Π»Π΅Ρ‡Π΅Π½Π½ΠΎΡΡ‚ΡŒ Π² эпидСмичСский процСсс зафиксирована Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ 3–6 Π»Π΅Ρ‚. МаксимальноС число госпитализаций ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½ΠΎ Π½Π° 5-ΠΉ ΠΈ 6-ΠΉ нСдСлях 2016 Π³. – 3Β 538 ΠΈ 4Β 109 случаСв соотвСтствСнно, Ρ‡Ρ‚ΠΎ прСвысило ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ сСзона 2009–2010 Π³Π³. НаибольшСС число случаСв госпитализации, Π² Ρ‚. Ρ‡. с тяТСлой острой рСспираторной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠ΅ΠΉ, ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½ΠΎ Π² возрастной Π³Ρ€ΡƒΠΏΠΏΠ΅ 15–64 Π»Π΅Ρ‚. По Π΄Π°Π½Π½Ρ‹ΠΌ Π€Π¦Π“ ΠΈ Π¦Π­Π­Π“, Π½Π° 05.04.16 зарСгистрировано 239 Π»Π΅Ρ‚Π°Π»ΡŒΠ½Ρ‹Ρ… исходов. Π’ 97,9 % случаСв Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½Ρ‹ΠΌΠΈ исслСдованиями ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π΅Π½ Π³Ρ€ΠΈΠΏΠΏ A(H1N1)pdm09. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. По Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ молСкулярно-гСнСтичСского Π°Π½Π°Π»ΠΈΠ·Π° Π²Ρ‹Π΄Π΅Π»Π΅Π½Π½Ρ‹Ρ… ΡˆΡ‚Π°ΠΌΠΌΠΎΠ² вируса Π³Ρ€ΠΈΠΏΠΏΠ° A / H1N1pdm09 ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ аминокислотных Π·Π°ΠΌΠ΅Π½ Π² Π³Π΅ΠΌΠ°Π³Π³Π»ΡŽΡ‚ΠΈΠ½ΠΈΠ½Π΅ (Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€-ΡΠ²ΡΠ·Ρ‹Π²Π°ΡŽΡ‰Π΅ΠΌ ΠΈ Sa сайтах) ΠΈ Π² Π³Π΅Π½Π°Ρ…, ΠΊΠΎΠ΄ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½ΠΈΠ΅ Π±Π΅Π»ΠΊΠΈ (PA, NP, M1, NS1). Доля рСзистСнтных ΡˆΡ‚Π°ΠΌΠΌΠΎΠ² ΠΊ ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚Π°ΠΌ с Π°Π½Ρ‚ΠΈΠ½Π΅ΠΉΡ€Π°ΠΌΠΈΠ½ΠΈΠ΄Π°Π·Π½ΠΎΠΉ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒΡŽ Π² странах Π‘Π΅Π²Π΅Ρ€Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ»ΡƒΡˆΠ°Ρ€ΠΈΡ Π½Π΅ прСвысила 1 %, Π° ΠΊ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π½Ρ‹ΠΌ Π°Π΄Π°ΠΌΠ°Π½Ρ‚Π°Π½Π° оказались Π½Π΅Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΌΠΈ всС ΠΈΠ·ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ Ρ†ΠΈΡ€ΠΊΡƒΠ»ΠΈΡ€ΡƒΡŽΡ‰ΠΈΠ΅ ΡˆΡ‚Π°ΠΌΠΌΡ‹

    Peculiarities of the influenza viruses circulation and their properties during 2018-2019 epidemic season in Russia and countries of the Northern Hemisphere

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    Objective. To identify the drift variability of influenza viruses during the period of epidemic rise in the incidence of acute respiratory viral infections in the period 2018-2019. The biological and molecular-genetic properties of epidemic strains isolated in certain territories of the Russian Federation were studied and compared with data from the countries of the Northern Hemisphere. Materials and methods. A range of laboratory diagnostic methods has been applied, including immune fluorescence, RT-PCR, sequencing, methods for determining sensitivity to influenza drugs and receptor specificity. Results and discussion. The proportion of influenza viruses was as follows: A (H1N1) pdm09 - 53 %, A (H3N2) - 46 %, B - about 1 %. Cases of severe acute respiratory infections have most often been associated with influenza A(H1N1) pdm09 virus. According to antigenic properties, isolated strains corresponded to the properties of vaccine viruses (A/Michigan/45/2015 - by 99.6 % and A/Singapore INFIMH-16-0019/2016 - by 86 %). The heterogeneity of influenza A virus strains population was revealed as regards individual mutations in hemaglutinin. The influenza B virus population was equally represented by both evolutionary lines (B/Victoria and B/Yamagata-like). Receptor specificity was favorable for the course and outcome of the disease. Among 70 studied epidemic strains, no strains resistant to anti-neuraminidase drugs, oseltamivir and zanamivir, were detected. The article presents WHO recommendations on the composition of influenza vaccines for the countries of the Northern Hemisphere for 2019-2020, provides data on cases of human infection with avian influenza viruses A(H5N1), A(H5N6), A(H7N9) and A(H9N2)
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