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1.
Artículo en Ruso | MEDLINE | ID: mdl-1466163

RESUMEN

The method of mathematical simulation of the processes of HIV infection in hospitals and clinics is proposed with the aim of predicting the spread of HIV infection throughout the territory of this country. An original mathematical model reproducing, on the whole, the essential properties of HIV infection processes in the course of medical interventions requiring skin punctures has been worked out. An adequate mathematical and computer model imitating the process of HIV infection in a hospital is a convenient instrument for making up prognostic evaluation and for the epidemiological analysis of cases of HIV infection occurring at medical institutions throughout this country.


Asunto(s)
Portador Sano/transmisión , Infección Hospitalaria/transmisión , Infecciones por VIH/transmisión , VIH-1 , Portador Sano/epidemiología , Infección Hospitalaria/epidemiología , Infecciones por VIH/epidemiología , Seropositividad para VIH/epidemiología , Seropositividad para VIH/transmisión , Humanos , Matemática , Modelos Biológicos , Pronóstico , Factores de Riesgo , Federación de Rusia/epidemiología
2.
Med Parazitol (Mosk) ; (3): 50-2, 1991.
Artículo en Ruso | MEDLINE | ID: mdl-1770886

RESUMEN

Methods of mathematical modelling and prediction of louse propagation processes in the natural habitation medium are presented. Theoretical and experimental data on head louse ecology served the basis for the elaboration of a mathematical model predicting the population dynamics. The model structure corresponds to 3 stages of louse development cycle (eggs, larva, lice) and parameters corresponding to natural characteristics of louse propagation process: mean lifespan of each individual during each phase of the cycle, age, fertility and so forth. The model helped to study some properties of the population, assess maximum rate of head louse population growth, detect threshold effects, establish the effects of coefficients, limiting the number of louse per unit of the body surface. The model made it possible to formulate necessary data (distribution functions) for the creation of the mathematical model of Pediculosis.


Asunto(s)
Modelos Biológicos , Phthiraptera/fisiología , Animales , Femenino , Humanos , Masculino , Matemática , Reproducción , Factores de Tiempo
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