46 research outputs found
Contacts with Diasporas and Diaspora Organisations as a Key to a Successful Migrant Integration Policy in the EU
We analyse European Commission and European Parliament documents - directives, communications, conclusions, recommendations - and best practices for EU member states' international projects focusing on migrant integration in both the EU states and the countries of origin. Special emphasis is placed on the role of diasporas and the efforts taken by the EU to involve them in the integration process. We stress the need for a new supranational EU immigration and integration policy, in view of new migration trends and the so-called migrant crisis. The study shows that the EU integration policy is directed towards both migrants and host countries and the countries of origin. Since the early 2010s, the involvement of various diaspora organisations in the implementation of the EU migrant integration policy has significantly increased. An analysis of completed projects shows that diasporas have a potential of becoming a key actor in the EU integration policy. We suggest expanding the list of the objectives of the national integration policy of the EU countries. This may be achieved by boosting efforts to reduce the gap in the socio-economic development of the host countries and the countries of origin, particularly, by promoting multilateral cooperation with diaspora organisations
The usage of geographic information systems for operational epidemiological analysis of influenza incidence in the territory of Rostov-on-Don including mass events
Objective: the assessment of spatial distribution of influenza in the metropolis and creation of the geographic information system (hereinafter β GIS) Β« Influenza: Rostov-on-Don Β«, containing data on places of case registration.Materials and methods: statistical data on influenza cases based on primary and final reports, PCR studies were used. Geocoding of addresses was performed using the servers Nominatum and the Satellite. For development of GIS we used free software QGIS version 3.2.2. As the cartographic basis OpenStreetMap community maps were used.Results: construction of variograms (Β«heat mapsΒ») revealed the formation of several risk areas (Β«epidemiological spotsΒ»), the boundaries of which do not coincide with the boundaries of the administrative districts of the city.Conclusions: the analysis showed that distribution of each of the subtypes of influenza A virus in the territory of Rostov-on-Don in the 2018-2019 season has specific features. We showed that in conditions of the megalopolis the spatial analysis which was carried out without taking into account the administrative boundaries provided more accurate results in comparison with traditional zoning
Features of the level of development of emotional intelligence of medical students
the article presents the results of the cross β sectional study on the determination of the level of emotional intelligence among students of medical UniversityΠ² ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΎΠ΄Π½ΠΎΠΌΠΎΠΌΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ, ΠΏΠΎΡΠ²ΡΡΡΠ½Π½ΠΎΠ³ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΡΠΎΠ²Π½Ρ ΡΠΌΠΎΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΠ° ΡΡΠ΅Π΄ΠΈ ΡΡΡΠ΄Π΅Π½ΡΠΎΠ² ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠ³ΠΎ ΠΠ£Π
PREVALENCE OF HIGH CARCINOGENIC RISK HUMAN PAPILLOMAVIRUS IN THE REPUBLIC OF SAKHA (YAKUTIA), ST. PETERSBURG AND THE REPUBLIC OF KARELIA
Results of the study in three regions of the Russian Federation have shown widespread of high carcinogenic human papillomavirus among patients of dermatovenerological and gynecological profile. Detection of viral DNA in the material from the cervix and urethra ranged from 25,2 (Karelia) to 42,5 (Sakha Republic (Yakutia) per 100 examined patients. In all areas in 2010-2011 first place was occupied by 16-th virus genotype - from 11,5 (Sakha Republic (Yakutia) to 15,9 (St. Petersburg) per 100 patients. Prevalence of 11 other types differs. In the Sakha Republic (Yakutia) the second rank place was occupied by types 31 and. 51 (8,0 per 100 examined patients), in St. Petersburg - by 56 and 31 types (9,7 and. 7,6 per 100 patients). Age risk group contains patients of the age of 20-29 years. Information on circulating genotypes of the virus is a necessary part of surveillance to validate vaccination against human papillomavirus infection and evaluation of its efficiency
Litsa uranium ore occurrence (Arctic zone of the Fennoscandian Shield): new results of petrophysical and geochemical studies
Mineralogical, petrophysical and geochemical studies have been carried out to determine the sequence and formation conditions of uranium mineralization within the Litsa ore occurrence (Kola Region). Mineralogical studies show the following formation sequence of ore minerals: uraninite β sulfides β uranophane, coffinite, pitchblende. Two stages of uranium mineralization are distinguished: Th-U (1.85-1.75 Ga) and U (400-300 Ma). The distribution of physical properties of rocks in the area is consistent with the presence of two temporal stages in the formation of mineralization with different distribution and form of uranium occurrence in rocks. The factors that reduce rock anisotropy are the processes of migmatization and hydrothermal ore mineralization, which heal pores and cracks. Fluid inclusions in quartz studied by microthermometry and Raman spectroscopy contain gas, gas-liquid and aqueous inclusions of different salinity (1.7-18.4 wt.% NaCl-eq.). According to homogenization temperatures of inclusions in liquid phase, the temperature of the Paleoproterozoic and Paleozoic stages of uranium mineralization at the Litsa ore occurrence is ~ 300 and 200 Β°Π‘, respectively. Correlations of the spatial distribution of elastic anisotropy index with an elevated radioactive background allow using this petrophysical feature as one of the prognostic criteria for uranium and complex uranium mineralization when carrying out uranium predictive work
ΠΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΊΠΎΡΠΈ Ρ Π²Π·ΡΠΎΡΠ»ΡΡ Π² ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΉ ΠΏΠ΅ΡΠΈΠΎΠ΄
Positive results have been achieved during the implementation of the measles elimination program in the Russian Federation and in the Northwestern Federal District (NWFD). However, measles remains an urgent problem for some regions due to the peculiarities of this infection.Purpose of the work: to characterize the clinical, epidemiological and molecular genetic characteristics of measles in adults during the period of increasing incidence in St. Petersburg.Materials and methods: the incidence of measles in the Northwestern Federal District was analyzed in 2006β2020, and the data of 30 patients of S.P. Botkin clinical infectious diseases hospital over 18 years old (2018). The diagnosis of measles is confirmed by enzyme immunoassay. Molecular genetic studies (PCR, sequencing) were carried out at the National Scientific and Methodological Center for the Surveillance of Measles and Rubella of G.N. Gabrichevsky Moscow Scientific Research Institute of Epidemiology and Microbiology, biological material was used (nasopharyngeal washings, urine).Results: there was an increase in morbidity in some regions of the Northwestern Federal District in conditions of high coverage of the population with measles vaccinations. In the age structure in 2018β2019 the proportion of adults was 65%. 74% of patients were not vaccinated against measles. A moderate-severe course (100%) was noted, regardless of the genotypes of the virus. Clinical manifestations were characterized by febrile, catarrhal and exanthema syndrome. Diarrhea was found in 36,7% of patients, hepatomegaly in 43.4%, and an increase in transaminases in 87%. 66,7% of patients traveled outside St. Petersburg. The genotypes of the virus were identified: B3 Kabul and B3 Dublin of African origin, D8 Girsomnath of Indian origin.Conclusions: measles remains an urgent problem, in recent years, adults prevail among patients, both local and imported cases are recorded. The clinical course of the disease may be accompanied by intestinal complications and other symptoms that make it difficult to diagnose at the prehospital stage. The use of molecular genetic methods makes it possible to identify the pathogen, assess the identity of viral isolates, and improve the epidemiological surveillance of the infection.Π ΠΏΠ΅ΡΠΈΠΎΠ΄ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ ΡΠ»ΠΈΠΌΠΈΠ½Π°ΡΠΈΠΈ ΠΊΠΎΡΠΈ Π² Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ ΠΈ Π½Π° ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ Π‘Π΅Π²Π΅ΡΠΎ-ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠΊΡΡΠ³Π° Π΄ΠΎΡΡΠΈΠ³Π½ΡΡΡ ΠΏΠΎΠ·ΠΈΡΠΈΠ²Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ΄Π½Π°ΠΊΠΎ ΠΊΠΎΡΡ ΠΎΡΡΠ°Π΅ΡΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠΎΠΉ Π΄Π»Ρ Π½Π΅ΠΊΠΎΡΠΎΡΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π² ΡΠ²ΡΠ·ΠΈ Ρ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΠΌΠΈ ΡΡΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ.Π¦Π΅Π»Ρ: ΠΎΡ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°ΡΡ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΊΠΎΡΠΈ Ρ Π²Π·ΡΠΎΡΠ»ΡΡ
Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ° Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ Π² Π‘Π°Π½ΠΊΡ-ΠΠ΅ΡΠ΅ΡΠ±ΡΡΠ³Π΅.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ: ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π° Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΡ ΠΊΠΎΡΡΡ Π½Π° ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ Π‘Π΅Π²Π΅ΡΠΎ-ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠΊΡΡΠ³Π° Π² 2006β2020 Π³Π³. ΠΈ Π΄Π°Π½Π½ΡΠ΅ 30 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΉ Π±ΠΎΠ»ΡΠ½ΠΈΡΡ ΠΈΠΌ. Π‘.Π. ΠΠΎΡΠΊΠΈΠ½Π° ΡΡΠ°ΡΡΠ΅ 18 Π»Π΅Ρ (2018 Π³.). ΠΠΈΠ°Π³Π½ΠΎΠ· ΠΊΠΎΡΠΈ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΈΠΌΠΌΡΠ½ΠΎΡΠ΅ΡΠΌΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°. ΠΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ (ΠΠ¦Π , ΡΠ΅ΠΊΠ²Π΅Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅) ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈΡΡ Π² ΠΠ°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΌ Π½Π°ΡΡΠ½ΠΎ-ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠ΅Π½ΡΡΠ΅ ΠΏΠΎ Π½Π°Π΄Π·ΠΎΡΡ Π·Π° ΠΊΠΎΡΡΡ ΠΈ ΠΊΡΠ°ΡΠ½ΡΡ
ΠΎΠΉ ΠΠΎΡΠΊΠΎΠ²ΡΠΊΠΎΠ³ΠΎ Π½Π°ΡΡΠ½ΠΎ-ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠΈΡΡΡΠ° ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈΠΌ. Π.Π. ΠΠ°Π±ΡΠΈΡΠ΅Π²ΡΠΊΠΎΠ³ΠΎ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π» (Π½Π°Π·ΠΎΡΠ°ΡΠ΅Π½Π³ΠΈΠ°Π»ΡΠ½ΡΠ΅ ΡΠΌΡΠ²Ρ, ΠΌΠΎΡΠ°).Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ: ΠΎΡΠΌΠ΅ΡΠ°Π»ΡΡ ΡΠΎΡΡ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ Π² Π½Π΅ΠΊΠΎΡΠΎΡΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
Π‘Π΅Π²Π΅ΡΠΎ-ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠΊΡΡΠ³Π° Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π²ΡΡΠΎΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΎΡ
Π²Π°ΡΠ° Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΏΡΠΈΠ²ΠΈΠ²ΠΊΠ°ΠΌΠΈ ΠΏΡΠΎΡΠΈΠ² ΠΊΠΎΡΠΈ. Π Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΠΎΠΉ ΡΡΡΡΠΊΡΡΡΠ΅ Π² 2018β2019 Π³Π³. ΡΠ΄Π΅Π»ΡΠ½ΡΠΉ Π²Π΅Ρ Π²Π·ΡΠΎΡΠ»ΡΡ
ΡΠΎΡΡΠ°Π²ΠΈΠ» 65%. Π 74% ΠΏΠ°ΡΠΈΠ΅Π½ΡΡ Π½Π΅ Π±ΡΠ»ΠΈ ΠΏΡΠΈΠ²ΠΈΡΡ ΠΏΡΠΎΡΠΈΠ² ΠΊΠΎΡΠΈ. ΠΡΠΌΠ΅ΡΠ°Π»ΠΎΡΡ ΡΡΠ΅Π΄Π½Π΅ΡΡΠΆΠ΅Π»ΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ (100%), Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΠΎ ΠΎΡ Π³Π΅Π½ΠΎΡΠΈΠΏΠΎΠ² Π²ΠΈΡΡΡΠ°. ΠΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π»ΠΈΡΡ Π»ΠΈΡ
ΠΎΡΠ°Π΄ΠΎΡΠ½ΡΠΌ, ΠΊΠ°ΡΠ°ΡΠ°Π»ΡΠ½ΡΠΌ ΡΠΈΠ½Π΄ΡΠΎΠΌΠ°ΠΌΠΈ ΠΈ ΡΠΈΠ½Π΄ΡΠΎΠΌΠΎΠΌ ΡΠΊΠ·Π°Π½ΡΠ΅ΠΌΡ. Π£ 36,7% ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π²ΡΡΠ²Π»Π΅Π½Π° Π΄ΠΈΠ°ΡΠ΅Ρ, Ρ 43,4% β Π³Π΅ΠΏΠ°ΡΠΎΠΌΠ΅Π³Π°Π»ΠΈΡ, Ρ 87% β ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΡΠ°Π½ΡΠ°ΠΌΠΈΠ½Π°Π·. ΠΡΠ΅Π·ΠΆΠ°Π»ΠΈ Π·Π° ΠΏΡΠ΅Π΄Π΅Π»Ρ Π‘Π°Π½ΠΊΡ-ΠΠ΅ΡΠ΅ΡΠ±ΡΡΠ³Π° 66,7% ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ². ΠΡΡΠ²Π»Π΅Π½Ρ Π³Π΅Π½ΠΎΡΠΈΠΏΡ Π²ΠΈΡΡΡΠ°: B3 Kabul ΠΈ B3 Dublin Π°ΡΡΠΈΠΊΠ°Π½ΡΠΊΠΎΠ³ΠΎ, D8 Girsomnath ΠΈΠ½Π΄ΠΈΠΉΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΠΈΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ.ΠΡΠ²ΠΎΠ΄Ρ: ΠΊΠΎΡΡ ΠΎΡΡΠ°Π΅ΡΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠΎΠΉ, Π² ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π³ΠΎΠ΄Ρ ΡΡΠ΅Π΄ΠΈ Π±ΠΎΠ»ΡΠ½ΡΡ
ΠΏΡΠ΅ΠΎΠ±Π»Π°Π΄Π°ΡΡ Π²Π·ΡΠΎΡΠ»ΡΠ΅, ΡΠ΅Π³ΠΈΡΡΡΠΈΡΡΡΡΡΡ ΠΊΠ°ΠΊ ΠΌΠ΅ΡΡΠ½ΡΠ΅, ΡΠ°ΠΊ ΠΈ Π·Π°Π²ΠΎΠ·Π½ΡΠ΅ ΡΠ»ΡΡΠ°ΠΈ. ΠΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ ΠΌΠΎΠΆΠ΅Ρ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π°ΡΡΡΡ ΠΊΠΈΡΠ΅ΡΠ½ΡΠΌΠΈ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΡΠΌΠΈ ΠΈ Π΄ΡΡΠ³ΠΈΠΌΠΈ ΡΠΈΠΌΠΏΡΠΎΠΌΠ°ΠΌΠΈ, Π·Π°ΡΡΡΠ΄Π½ΡΡΡΠΈΠΌΠΈ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΡ Π½Π° Π΄ΠΎΠ³ΠΎΡΠΏΠΈΡΠ°Π»ΡΠ½ΠΎΠΌ ΡΡΠ°ΠΏΠ΅. ΠΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π²ΡΡΠ²Π»ΡΡΡ Π²ΠΎΠ·Π±ΡΠ΄ΠΈΡΠ΅Π»Ρ, ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡ ΠΎΡΠ΅Π½ΠΊΡ ΠΈΠ΄Π΅Π½ΡΠΈΡΠ½ΠΎΡΡΠΈ Π²ΠΈΡΡΡΠ½ΡΡ
ΠΈΠ·ΠΎΠ»ΡΡΠΎΠ² ΠΈ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°ΡΡ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π½Π°Π΄Π·ΠΎΡ Π·Π° ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ΅ΠΉ.
Π₯Π ΠΠΠΠ§ΠΠ‘ΠΠΠ ΠΠΠ Π£Π‘ΠΠ«Π ΠΠΠΠΠ’ΠΠ’Π«, Π’Π£ΠΠΠ ΠΠ£ΠΠΠ Π ΠΠΠ§-ΠΠΠ€ΠΠΠ¦ΠΠ― ΠΠΠ Π‘ΠΠ§ΠΠ’ΠΠΠΠ«Π ΠΠΠΠΠΠΠΠΠΠΠ―: ΠΠ’ Π’ΠΠΠ ΠΠ Π ΠΠ ΠΠΠ’ΠΠΠ
With the aim of improving the system of epidemiological surveillance and monitoring of the most significant and socially determined co-infections, carried out the epidemiological analysis of viral hepatitis B and C, tuberculosis and HIV infection who were registered in the Clinical infectious hospital named. S. P. Botkin in the beginning of this century (17-year period). Examined 707 patients. The comparison carried out between the three groups of patients co-infected identified in 1998β2001 year (period I, 128 patients), 2008β 2011 year (period II, 334 patients) and in 2013β2014 (period III, 245 patients). The proportion of patients with acute viral hepatitis in the first period was 24.2%, and the second and third periods, their share declined to 0,6% and 0,4%. Among the chronic viral hepatitis in the first and second periods were dominated by chronic viral hepatitis C (of 28,1 and 39,8%), and in the third period came to dominate the hepatitis caused by combination viruses B and C (58,8 per cent). Symptoms of liver damage and the activity of enzymes in patients co-infected testified to the increase in the number of cases of cirrhosis of this body and served morphological studies, the prevalence of liver cirrhosis increased more than 4 times, from 8,6% (first period) to 26,9% (period III). Changes of tuberculosis, showed a significant increase in the share of common forms of tuberculosis, including disseminated tuberculosis of the lungs from 19,5% to 57,6% (3 times), and lymph system, including tuberculosis of lymphatic nodes of the chest from 3,1% (period I) to 27,8% (period II). The main changes in patients with co-infection was associated with HIV, whose share increased from 10,0% of (period I) to 91,8% (period III). The mortality of patients co-infected increased from 11,7 to 34,7% (3 times).Π‘ ΡΠ΅Π»ΡΡ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π½Π°Π΄Π·ΠΎΡΠ° ΠΈ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π·Π½Π°ΡΠΈΠΌΡΡ
ΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π½ΡΡ
ΡΠΎΡΠ΅ΡΠ°Π½Π½ΡΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
Π²ΠΈΡΡΡΠ½ΡΡ
Π³Π΅ΠΏΠ°ΡΠΈΡΠΎΠ² Π ΠΈ Π‘, ΡΡΠ±Π΅ΡΠΊΡΠ»Π΅Π·Π° ΠΈ ΠΠΠ§-ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ Π±ΡΠ»ΠΈ Π·Π°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½Ρ Π² ΠΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΉ Π±ΠΎΠ»ΡΠ½ΠΈΡΠ΅ ΠΈΠΌ. Π‘.Π. ΠΠΎΡΠΊΠΈΠ½Π° Π² Π½Π°ΡΠ°Π»Π΅ ΡΠ΅ΠΊΡΡΠ΅Π³ΠΎ ΡΡΠΎΠ»Π΅ΡΠΈΡ (17-Π»Π΅ΡΠ½ΠΈΠΉ ΠΏΠ΅ΡΠΈΠΎΠ΄). ΠΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΎ 707 Π±ΠΎΠ»ΡΠ½ΡΡ
. Π‘ΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΠΌΠ΅ΠΆΠ΄Ρ ΡΡΠ΅ΠΌΡ Π³ΡΡΠΏΠΏΠ°ΠΌΠΈ Π±ΠΎΠ»ΡΠ½ΡΡ
ΡΠΎΡΠ΅ΡΠ°Π½Π½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ΅ΠΉ, Π²ΡΡΠ²Π»Π΅Π½Π½ΡΡ
Π² 1998β2001 Π³Π³. (I ΠΏΠ΅ΡΠΈΠΎΠ΄, 128 Π±ΠΎΠ»ΡΠ½ΡΡ
), Π² 2008β2011 Π³Π³. (II ΠΏΠ΅ΡΠΈΠΎΠ΄, 334 Π±ΠΎΠ»ΡΠ½ΡΡ
) ΠΈ Π² 2013β2014 Π³Π³. (III ΠΏΠ΅ΡΠΈΠΎΠ΄, 245 Π±ΠΎΠ»ΡΠ½ΡΡ
). ΠΠΎΠ»Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
Ρ ΠΎΡΡΡΡΠΌΠΈ Π²ΠΈΡΡΡΠ½ΡΠΌΠΈ Π³Π΅ΠΏΠ°ΡΠΈΡΠ°ΠΌΠΈ Π² ΠΏΠ΅ΡΠ²ΡΠΉ ΠΏΠ΅ΡΠΈΠΎΠ΄ ΡΠΎΡΡΠ°Π²ΠΈΠ»Π° 24,2%, Π° Π²ΠΎ Π²ΡΠΎΡΠΎΠΉ ΠΈ ΡΡΠ΅ΡΠΈΠΉ ΠΏΠ΅ΡΠΈΠΎΠ΄Ρ ΠΈΡ
Π΄ΠΎΠ»Ρ ΡΠ½ΠΈΠ·ΠΈΠ»Π°ΡΡ Π΄ΠΎ 0,6% ΠΈ 0,4%. Π‘ΡΠ΅Π΄ΠΈ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
Π²ΠΈΡΡΡΠ½ΡΡ
Π³Π΅ΠΏΠ°ΡΠΈΡΠΎΠ² Π² ΠΏΠ΅ΡΠ²ΠΎΠΌ ΠΈ Π²ΡΠΎΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π°Ρ
Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ ΠΏΡΠ΅ΠΎΠ±Π»Π°Π΄Π°Π» Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π²ΠΈΡΡΡΠ½ΡΠΉ Π³Π΅ΠΏΠ°ΡΠΈΡ Π‘ (28,1 ΠΈ 39,8%), Π° Π² ΡΡΠ΅ΡΡΠ΅ΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΡΡΠ°Π» Π΄ΠΎΠΌΠΈΠ½ΠΈΡΠΎΠ²Π°ΡΡ Π³Π΅ΠΏΠ°ΡΠΈΡ, Π²ΡΠ·Π²Π°Π½Π½ΡΠΉ ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΠ΅ΠΉ Π²ΠΈΡΡΡΠΎΠ² Π ΠΈ Π‘ (58,8%). Π‘ΠΈΠΌΠΏΡΠΎΠΌΡ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΏΠ΅ΡΠ΅Π½ΠΈ ΠΈ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΡΠΈΡΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅ΡΠΌΠ΅Π½ΡΠΎΠ² Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
ΡΠΎΡΠ΅ΡΠ°Π½Π½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ΅ΠΉ ΡΠ²ΠΈΠ΄Π΅ΡΠ΅Π»ΡΡΡΠ²ΠΎΠ²Π°Π»ΠΈ ΠΎ Π½Π°ΡΠ°ΡΡΠ°Π½ΠΈΠΈ ΡΠΈΡΠ»Π° ΡΠ»ΡΡΠ°Π΅Π² ΡΠΈΡΡΠΎΠ·Π° ΡΡΠΎΠ³ΠΎ ΠΎΡΠ³Π°Π½Π°, Π° ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ ΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ, Π΄ΠΎΠ»Ρ Π»ΠΈΡ Ρ ΡΠΈΡΡΠΎΠ·Π°ΠΌΠΈ ΠΏΠ΅ΡΠ΅Π½ΠΈ ΡΠ²Π΅Π»ΠΈΡΠΈΠ»Π°ΡΡ Π±ΠΎΠ»Π΅Π΅ ΡΠ΅ΠΌ Π² 4 ΡΠ°Π·Π°: Ρ 8,6% (I ΠΏΠ΅ΡΠΈΠΎΠ΄) Π΄ΠΎ 26,9% (III ΠΏΠ΅ΡΠΈΠΎΠ΄). ΠΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ, ΠΊΠ°ΡΠ°ΡΡΠΈΠ΅ΡΡ ΡΡΠ±Π΅ΡΠΊΡΠ»Π΅Π·Π°, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π»ΠΈΡΡ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΡΠΌ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ΠΌ Π΄ΠΎΠ»ΠΈ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΡΡ
ΡΠΎΡΠΌ ΡΡΠ±Π΅ΡΠΊΡΠ»Π΅Π·Π°, Π²ΠΊΠ»ΡΡΠ°Ρ Π΄ΠΈΡΡΠ΅ΠΌΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ ΡΡΠ±Π΅ΡΠΊΡΠ»Π΅Π· Π»Π΅Π³ΠΊΠΈΡ
Ρ 19,5% Π΄ΠΎ 57,6% (Π² 3 ΡΠ°Π·Π°), ΠΈ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ΠΌ Π»ΠΈΠΌΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΠΈ ΡΡΠ±Π΅ΡΠΊΡΠ»Π΅Π· Π²Π½ΡΡΡΠΈΠ³ΡΡΠ΄Π½ΡΡ
Π»ΠΈΠΌΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ·Π»ΠΎΠ² Ρ 3,1% (I ΠΏΠ΅ΡΠΈΠΎΠ΄) Π΄ΠΎ 27,8% (II ΠΏΠ΅ΡΠΈΠΎΠ΄). ΠΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
ΡΠΎΡΠ΅ΡΠ°Π½Π½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ΅ΠΉ Π±ΡΠ»ΠΈ Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Ρ Ρ ΠΠΠ§, ΡΠ΄Π΅Π»ΡΠ½ΡΠΉ Π²Π΅Ρ ΠΊΠΎΡΠΎΡΡΡ
ΡΠ²Π΅Π»ΠΈΡΠΈΠ»ΡΡ Ρ 10,0% (I ΠΏΠ΅ΡΠΈΠΎΠ΄) Π΄ΠΎ 91,8% (III ΠΏΠ΅ΡΠΈΠΎΠ΄). ΠΠ΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡ Π±ΠΎΠ»ΡΠ½ΡΡ
ΡΠΎΡΠ΅ΡΠ°Π½Π½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ΅ΠΉ Π²ΠΎΠ·ΡΠΎΡΠ»Π° Ρ 11,7 Π΄ΠΎ 34,7% (Π² 3 ΡΠ°Π·Π°)