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7 results on '"Gaukhar, N."'

1. Professional Training of Social Workers: Development of Professionally Significant Qualities in the Future Social Workers

Author

Minzhanov, Nurlan A., Ertysbaeva, Gaukhar N., Abdakimova, Madina K., and Ishanov, Pirmagambet Z.

Abstract

Today, the traditional approach to professional training is obsolete. This problem has determined the need to create new didactic forms related to the organization of training in the modern education system. The purpose of this study was to analyze possible development of professionally important qualities and abilities in the future social care teachers through the role plays. The value of role plays lies in their diagnostic, developmental, training, correctional, educational and psychotherapeutic potential. Role plays provide development of personal and professional attitude of the future social worker, along with approximation to the chosen profession. Different types of role plays give the possibility to model quasi-professional situations, realizing the future propaedeutic socio-pedagogical activity of students. Role plays has a positive impact on the development of competencies related to social interaction: the ability to constructively resolve conflicts; competent communication with different groups of people; willingness to build tolerant relations with people of different nationalities, religions, ethnic groups, political and ideological convictions, etc. The use of role plays in the training of social workers provided deliberate and purposeful use of group therapy in practical activities as well as active learning methods, pedagogical correction and social diagnosis. It was important that the game fostered mastering diverse behaviours by students. Using various types of role plays in the psychological and pedagogical training proved to be very useful and promising for professional and personal development of the future social care workers.

Published
2016

2. The Process of Pedagogical Culture Formation in the Future Social Worker

Author

Minzhanov, Nurlan A. and Ertysbaeva, Gaukhar N.

Abstract

The paper is aimed at studying the features of pedagogical culture formation in future social workers and developing methods to improve the professional and pedagogical preparation quality of students in the "Social work" specialty. In the study, a survey of students in the "Social work" specialty (n = 400), and a standardized interview with the teachers of educational institutions of the Republic of Kazakhstan (n = 150) was conducted. Data of the empirical part of the research suggest that in schools' practice the standard curricula and programs are used that do not take into account peculiarities of professional activity of social workers, are not aimed at developing practical skills and are not contiguous with the principles of modern personality-oriented educational technologies. The monitoring results became the basis for the development of a model to improve the quality of professional and pedagogical preparation of students in the "Social work" specialty.

Published
2016

6. Influenza epidemiology and influenza vaccine effectiveness during the 2016–2017 season in the Global Influenza Hospital Surveillance Network (GIHSN)

Author

Eropkin, M., Fadeev, A., Andrew, M., Ambrose, A., Mukasheva, E., Merkulova, L., Kruzhkova, I., Krasnoslobotsev, K., Kolobukhina, L., Kisteneva, L., Garina, E., Schwarz-Chavarri, G., Llorente-Nieto, P., Tortajada-Girbes, M., Fernandez-Dopazo, J., Generalova, L., Go, A., Golovacheva, E., Gonchar, V., Komissarov, A., Konovalova, N., Kuvarzina, S., Levanyuk, T., Lobova, T., Osidak, L., Roldan-Aguado, M., Mollar Maseres, J., Carballido-Fernandez, M., Adriana-Magos, E., Lopez-Labrador, X., Menif, K., Ozkaya-Parlakay, A., Tezer, H., Gulhan, B., Pisareva, M., Boukthir, A., Chlif, S., Rozhkova, E., Dellagi, M. K., Gharbi, A., Louzir, H., Yazidi, R., Zid, W., Laguna, A., Perez-Bao, J., Reyes, N., Coulibaly, D., Sanchez-Catalan, M. J., Mira-Iglesias, A., Martin-Navarro, M., Guglieri-Lopez, B., Garcia Esteban, S., Escribano-Lopez, B., Diez-Domingo, Javier, Puig-Barbera, Joan, Burtseva, Elena, Ben-Salah, Afif, Kuatbayeva, Ainagul, Sintsova, K., Sirotkina, Z., Smorodintseva, E., Koubaa, M., Zhang, Tao, Kyncl, Jan, Koul, Parvaiz, ÜNAL, SERHAT, Draganescu, Anca, Nunes, Marta C., Sominina, Anna, McNeil, Shelly, Ben Jeema, M., Trushakova, Svetlana, Baselga-Moreno, Victor, Ben Khelil, J., Amine, S., Gaukhar, N., Pitigoi, D., MacKinnon-Cameron, D., Nichols-Evans, M., Ye, P., Afanasieva, O., Afanasieva, A., Demina, S., Dondurei, E., Sukhovetskaya, V., Tamila, M., Voloshuk, L., Yanina, M., Zarishnyuk, P., Madhi, S. A., Arama, V., Florea, D., Luminos, M., Otelea, D., Sandulescu, O., Vlaicu, O., ElSherif, M., Aykac, K., Bosi, T. Bagci, Bilgin, E., Durusu, M., Kara, A., Ozisik, L., Basaranoglu, S. Tanir, Demirdag, TUĞBA, Tunccan, ÖZLEM, Ozgen, O., Pan, J., Zheng, J., Yan, Y., Zhao, G., Zhang, F., Shan, W., Chen, K., Standerova, I., Rudova, T., Rohacova, H., Herrmanova, K., Dvorska, D., Sebestova, H., Prochazkova, J., Mandakova, Z., Kralova, R., Jirincova, H., Havlickova, M., Bali, N., Yusuf, R., Soumya, Soumya, Mir, H., Khan, M., Ali, S., Hernandez, A., Moreno-Espinosa, S., Gamino-Arroyo, A. E., de la Rosa-Zamboni, D., Vidal-Vazquez, R. P., Ramirez-Hinojosa, J. P., Jimenez-Escobar, I., Dolores Dominguez-Viveros, W., de Colsa Ranero, A., Ruiz-Palacios, G. M., Guerrero Almeida, M. L., Galindo Fraga, A., Ciblak, M. Akcay, Tulek, N., Ozsoy, M., and Stolyarov, K.

Subjects
Adult, Male, medicine.medical_specialty, Adolescent, Influenza vaccine, Epidemiology, 030209 endocrinology & metabolism, Logistic regression, Global Health, 03 medical and health sciences, 0302 clinical medicine, Influenza A Virus, H1N1 Subtype, Pregnancy, Internal medicine, Influenza, Human, medicine, Humans, 030212 general & internal medicine, Risk factor, Child, Aged, Aged, 80 and over, Vaccine effectiveness, Surveillance, business.industry, Influenza A Virus, H3N2 Subtype, lcsh:Public aspects of medicine, Vaccination, Public Health, Environmental and Occupational Health, lcsh:RA1-1270, Odds ratio, Middle Aged, medicine.disease, Hospitalization, Influenza Vaccines, Child, Preschool, Female, Seasons, Biostatistics, business, Influenza virus, Sentinel Surveillance, Research Article
Abstract

Background The Global Influenza Hospital Surveillance Network (GIHSN) aims to determine the burden of severe influenza disease and Influenza Vaccine Effectiveness (IVE). This is a prospective, active surveillance and hospital-based epidemiological study to collect epidemiological data in the GIHSN. In the 2016–2017 influenza season, 15 sites in 14 countries participated in the GIHSN, although the analyses could not be performed in 2 sites. A common core protocol was used in order to make results comparable. Here we present the results of the GIHSN 2016–2017 influenza season. Methods A RT-PCR test was performed to all patients that accomplished the requirements detailed on a common core protocol. Patients admitted were included in the study after signing the informed consent, if they were residents, not institutionalised, not discharged in the previous 30 days from other hospitalisation with symptoms onset within the 7 days prior to admission. Patients 5 years old or more must also complied the Influenza-Like Illness definition. A test negative-design was implemented to perform IVE analysis. IVE was estimated using a logistic regression model, with the formula IVE = (1-aOR) × 100, where aOR is the adjusted Odds Ratio comparing cases and controls. Results Among 21,967 screened patients, 10,140 (46.16%) were included, as they accomplished the inclusion criteria, and tested, and therefore 11,827 (53.84%) patients were excluded. Around 60% of all patients included with laboratory results were recruited at 3 sites. The predominant strain was A(H3N2), detected in 63.6% of the cases (1840 patients), followed by B/Victoria, in 21.3% of the cases (618 patients). There were 2895 influenza positive patients (28.6% of the included patients). A(H1N1)pdm09 strain was mainly found in Mexico. IVE could only be performed in 6 sites separately. Overall IVE was 27.24 (95% CI 15.62–37.27. Vaccination seemed to confer better protection against influenza B and in people 2–4 years, or 85 years old or older. The aOR for hospitalized and testing positive for influenza was 3.02 (95% CI 1.59–5.76) comparing pregnant with non-pregnant women. Conclusions Vaccination prevented around 1 in 4 hospitalisations with influenza. Sparse numbers didn’t allow estimating IVE in all sites separately. Pregnancy was found a risk factor for influenza, having 3 times more risk of being admitted with influenza for pregnant women. Electronic supplementary material The online version of this article (10.1186/s12889-019-6713-5) contains supplementary material, which is available to authorized users.

Published
2019

7. Influenza epidemiology and influenza vaccine effectiveness during the 2016-2017 season in the Global Influenza Hospital Surveillance Network (GIHSN)

Author

Baselga-Moreno, V, Trushakova, S, McNeil, S, Sominina, A, Nunes, MC, Draganescu, A, Unal, S, Koul, P, Kyncl, J, Zhang, T, Kuatbayeva, A, Ben-Salah, A, Burtseva, E, Puig-Barbera, J, Diez-Domingo, J, Escribano-Lopez, B, Esteban, SG, Guglieri-Lopez, B, Martin-Navarro, M, Mira-Iglesias, A, Sanchez-Catalan, MJ, Lopez-Labrador, X, Carballido-Fernandez, M, Maseres, JM, Roldan-Aguado, M, Fernandez-Dopazo, J, Tortajada-Girbes, M, Llorente-Nieto, P, Schwarz-Chavarri, G, Garina, E, Kisteneva, L, Kolobukhina, L, Krasnoslobotsev, K, Kruzhkova, I, Merkulova, L, Mukasheva, E, Ambrose, A, Andrew, M, ElSherif, M, MacKinnon-Cameron, D, Nichols-Evans, M, Ye, P, Afanasieva, O, Afanasieva, A, Demina, S, Dondurei, E, Eropkin, M, Fadeev, A, Generalova, L, Go, A, Golovacheva, E, Gonchar, V, Komissarov, A, Konovalova, N, Kuvarzina, S, Levanyuk, T, Lobova, T, Osidak, L, Pisareva, M, Rozhkova, E, Sintsova, K, Sirotkina, Z, Smorodintseva, E, Stolyarov, K, Sukhovetskaya, V, Tamila, M, Voloshuk, L, Yanina, M, Zarishnyuk, P, Madhi, SA, Arama, V, Florea, D, Luminos, M, Otelea, D, Sandulescu, O, Vlaicu, O, Pitigoi, D, Aykac, K, Bosi, TB, Bilgin, E, Durusu, M, Kara, A, Ozisik, L, Basaranoglu, ST, Demirdag, TB, Tunccan, OG, Ozgen, O, Tezer, H, Gulhan, B, Ozkaya-Parlakay, A, Ozsoy, M, Tulek, N, Ciblak, MA, Fraga, AG, Almeida, MLG, Ruiz-Palacios, GM, Ranero, AD, Dominguez-Viveros, WD, Jimenez-Escobar, I, Ramirez-Hinojosa, JP, Vidal-Vazquez, RP, de la Rosa-Zamboni, D, Gamino-Arroyo, AE, Moreno-Espinosa, S, Hernandez, A, Ali, S, Khan, M, Mir, H, Soumya, Yusuf, R, Bali, N, Havlickova, M, Jirincova, H, Kralova, R, Mandakova, Z, Prochazkova, J, Sebestova, H, Dvorska, D, Herrmanova, K, Rohacova, H, Rudova, T, Standerova, I, Chen, K, Shan, W, Zhang, F, Zhao, G, Yan, Y, Zheng, J, Pan, J, Gaukhar, N, Amine, S, Ben Khelil, J, Ben Jeema, M, Koubaa, M, Menif, K, Boukthir, A, Chlif, S, Dellagi, MK, Gharbi, A, Louzir, H, Yazidi, R, Zid, W, Laguna, A, Perez-Bao, J, Reyes, N, Coulibaly, D, and GIHSN

Subjects
Vaccine effectiveness, Surveillance, Epidemiology, Influenza virus
Abstract

BackgroundThe Global Influenza Hospital Surveillance Network (GIHSN) aims to determine the burden of severe influenza disease and Influenza Vaccine Effectiveness (IVE). This is a prospective, active surveillance and hospital-based epidemiological study to collect epidemiological data in the GIHSN. In the 2016-2017 influenza season, 15 sites in 14 countries participated in the GIHSN, although the analyses could not be performed in 2 sites. A common core protocol was used in order to make results comparable. Here we present the results of the GIHSN 2016-2017 influenza season.MethodsA RT-PCR test was performed to all patients that accomplished the requirements detailed on a common core protocol. Patients admitted were included in the study after signing the informed consent, if they were residents, not institutionalised, not discharged in the previous 30days from other hospitalisation with symptoms onset within the 7days prior to admission. Patients 5years old or more must also complied the Influenza-Like Illness definition. A test negative-design was implemented to perform IVE analysis. IVE was estimated using a logistic regression model, with the formula IVE=(1-aOR)x100, where aOR is the adjusted Odds Ratio comparing cases and controls.ResultsAmong 21,967 screened patients, 10,140 (46.16%) were included, as they accomplished the inclusion criteria, and tested, and therefore 11,827 (53.84%) patients were excluded. Around 60% of all patients included with laboratory results were recruited at 3 sites. The predominant strain was A(H3N2), detected in 63.6% of the cases (1840 patients), followed by B/Victoria, in 21.3% of the cases (618 patients). There were 2895 influenza positive patients (28.6% of the included patients). A(H1N1)pdm09 strain was mainly found in Mexico. IVE could only be performed in 6 sites separately. Overall IVE was 27.24 (95% CI 15.62-37.27. Vaccination seemed to confer better protection against influenza B and in people 2-4years, or 85years old or older. The aOR for hospitalized and testing positive for influenza was 3.02 (95% CI 1.59-5.76) comparing pregnant with non-pregnant women.ConclusionsVaccination prevented around 1 in 4 hospitalisations with influenza. Sparse numbers didn't allow estimating IVE in all sites separately. Pregnancy was found a risk factor for influenza, having 3 times more risk of being admitted with influenza for pregnant women.

Published
2019

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