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This article is cited in 3 scientific papers (total in 3 papers)
A model of tuberculosis epidemiology. Data analysis and estimation of parameters
O. A. Melnichenkoa, A. A. Romanyukhab a M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
b M. V. Lomonosov Moscow State University
Abstract:
In this paper we constructed mathematical model that describes main points of tuberculosis transmission in Russia. We formulated the problem of model adjustment for a number of regions of Russia. We developed a method of estimation of model parameters and basic epidemiological characteristics that takes account of socio-economic heterogeneity and heterogeneity of medical service quality. We demonstrated that heterogeneity of prevalence of disease and infection can be governed by both the difference in medical service quality and the difference in socio-economic conditions. We simulated the dynamics of prevalence of disease and infection under changing socio-economic conditions. We concluded that improvement of socio-economic conditions has positive influence on epidemiological situation, decreasing prevalence of disease and infection substantially.
Received: 19.09.2007
Citation:
O. A. Melnichenko, A. A. Romanyukha, “A model of tuberculosis epidemiology. Data analysis and estimation of parameters”, Matem. Mod., 20:8 (2008), 107–128; Math. Models Comput. Simul., 1:4 (2009), 428–444
Linking options:
https://www.mathnet.ru/eng/mm2678 https://www.mathnet.ru/eng/mm/v20/i8/p107
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