Cluster analysis of socially significant diseases in the Russian Federation
Author:
Affiliation:
1. Siberian Law Institute of the Ministry of Internal Affairs of Russian Federation
2. Prof. V. F. Voino-Yasenetsky Krasnoyarsk State Medical University
Publisher
Novosibirsk State University of Economics and Management - NSUEM
Subject
General Medicine
Reference20 articles.
1. Arlashkin I.Ju. Klasterizacija rossijskih regionov po urovnju dolgovoj ustojchivosti [Clusterization of Russian regions by the level of debt sustainability], Finansovyj zhurnal [Financial magazine], 2021, vol. 13, no. 5, pp. 108–124. DOI: 10.31107/2075-1990-2021-5-108-124
2. Bojarkina S.I. Determinanty social’no znachimyh boleznej v stranah Evropy i v Rossii [Determinants of socially significant diseases in European countries and in Russia], Vestnik Sankt-Peterburgskogo universiteta. Sociologija [Vestnik of St. Petersburg University. Sociology], 2019, vol. 12, no. 4, pp. 350–367. DOI: 10.21638/spbu12.2019.404
3. Budilova E.V., Lagutin M.B. Dinamika i territorial’naja differenciacija social’no znachimyh boleznej v 2005–2016 gg. v Rossii [Dynamics and territorial differentiation of socially significant diseases in 2005–2016 in Russia], Vestnik Moskovskogo universiteta. Serija 23: Antropologija [Vestnik of the Moscow University. Series 23: Anthropology], 2019, no. 3, pp. 82–100. DOI: 10.32521/2074-8132.2019.3.082-100
4. Budilova E.V., Migranova L.A. Rasprostranenie social’no znachimyh boleznej i bor’-ba s nimi v Rossii [The spread of socially significant diseases and the fight against them in Russia], Narodonaselenie [Population], 2020, vol. 23, no. 2, pp. 85–98. DOI: 10.19181/population.2020.23.2.8
5. Grigor’ev S.G., Korneenkov A.A., Popovich I.G. Vybor metoda matematiko-statis-ticheskogo dokazatel’stva jeffektivnosti peptidnogo preparata jepifiza [Choice of the method of mathematical and statistical evidence of the effectiveness of the peptide preparation of the pineal gland], Sovremennye problemy zdravoohranenija i medicinskoj statistiki [Modern problems of health care and medical statistics], 2019, no. 4, pp. 103–114. DOI: 10.24411/2312-2935-2019-10083
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3