Zobrazeno 1 - 6
of 6
pro vyhledávání: '"K. K. Avilov"'
Autor:
Sergey Borisov, K. K. Avilov, Alexander Romanyukha, Arseniy S. Karkach, E. M Belilovskiy, T. E Sannikova
Publikováno v:
Epidemiology and Infectious Diseases. 22:121-127
In the work there is described the methodology and results of the analysis of epidemiological data on the prevalence rate of tuberculosis in Moscow in 2010-2014. The aim of the study was the search for socio-economic and demographic factors affecting
Autor:
K. K. Avilov, Nechaeva Ob, Sergey Borisov, Evgeny Belilovsky, Alexander Romanyukha, A. S. Karkach
Publikováno v:
The International Journal of Tuberculosis and Lung Disease. 19:288-294
OBJECTIVE To estimate tuberculosis (TB) incidence and case detection rate (CDR) using routine TB surveillance data only. METHODS A mathematical model of the case detection process, representing competition between disease progression and case finding
Autor:
K. K. Avilov, Alexander Romanyukha
Publikováno v:
Automation and Remote Control. 68:1604-1617
A mathematical model of the spread of tuberculosis taking into account the impact of the antituberculosis programs was considered. The singularity of the proposed model lies in making explicit discrimination between the detected and overlooked patien
Autor:
K. K. Avilov
Publikováno v:
Russian Journal of Numerical Analysis and Mathematical Modelling. 24
A model of the detection lag risk of various diseases is constructed in the paper. Using this model, analysis of actual data for detection of pulmonary tuberculosis was performed. Quantitative estimates of the contribution of various factors to the r
Autor:
A. A. Romanyukha, K. K. Avilov, G. I. Marchuk, A. S. Karkach, B. Ya. Kazennykh, Perel'man Mi, Sergey Borisov
Publikováno v:
Russian Journal of Numerical Analysis and Mathematical Modelling. 19
This paper is devoted to the construction of the mathematical model of the tuberculosis morbidity dynamics. The model takes into account the peculiarities of morbidity epidemiology and its control. The model is adjusted to the data collected in the O
Autor:
Macharadze D; 1Рeoples Friendship University of Russia, Moscow; 2Janaeva Ch.A., Medical Center, Urus-Martan, Chechnya (Russia); 3Avilov K.K., Institute for Numerical Mathematics of Russian Academy of Sciences, Moscow; 4Federal Research Institute for Health Organization and Informatics of Ministry of Health of Russian Federation, Moscow, Russia., Janaeva H; 1Рeoples Friendship University of Russia, Moscow; 2Janaeva Ch.A., Medical Center, Urus-Martan, Chechnya (Russia); 3Avilov K.K., Institute for Numerical Mathematics of Russian Academy of Sciences, Moscow; 4Federal Research Institute for Health Organization and Informatics of Ministry of Health of Russian Federation, Moscow, Russia., Avilov K; 1Рeoples Friendship University of Russia, Moscow; 2Janaeva Ch.A., Medical Center, Urus-Martan, Chechnya (Russia); 3Avilov K.K., Institute for Numerical Mathematics of Russian Academy of Sciences, Moscow; 4Federal Research Institute for Health Organization and Informatics of Ministry of Health of Russian Federation, Moscow, Russia.
Publikováno v:
Georgian medical news [Georgian Med News] 2017 May (266), pp. 93-99.