RESUMO
Taking well-grounded strategic decisions on the control of infectious diseases requires the knowledge of modern epidemiological situation with respect to the total infectious pathology. The structure, levels and dynamics of morbidity in infectious diseases, registered according to Form No. 85 (Infection), on the territory of the USSR are considered. Besides, the evaluation of the economic damage inflicted to the national economy of the USSR by infectious morbidity is presented.
Assuntos
Doenças Transmissíveis/epidemiologia , Infecções Bacterianas/economia , Infecções Bacterianas/epidemiologia , Doenças Transmissíveis/economia , Surtos de Doenças/economia , Surtos de Doenças/estatística & dados numéricos , Humanos , Incidência , Prevalência , U.R.S.S./epidemiologia , Viroses/economia , Viroses/epidemiologiaRESUMO
To solve the problems connected with the evaluation of the seasonal and territorial distribution of infectious diseases, indications and limitations for the use of the following statistical methods have been worked out: the calculation of the monthly morbidity level, the proportion of cases of infectious diseases falling on the months of seasonal morbidity rises, the proportion of such cases appearing due to the influence of seasonal factors, the total and partial indices, the average monthly rate of increase in seasonal morbidity, the complex evaluation of seasonal morbidity, the evaluation of the nonparallelism of two curves, the determination of the mean quadratic deviations and Shannon's entropy. The algorithms based on these methods lie in the foundation of 11 computer programs, forming the software complex "Epidanalysis" and provided with the service menu permitting an epidemiologist to proceed from the task via indications and limitations to the corresponding program. The programs are intended for different types of computers (IBM PC XT, EC-1640, Robotron 1715).
Assuntos
Doenças Transmissíveis/epidemiologia , Estações do Ano , Algoritmos , Métodos Epidemiológicos , Humanos , Incidência , Prevalência , SoftwareRESUMO
To solve various problems connected with epidemiological analysis concerning evaluation of the level, direction and intensity of the time course of the epidemic process and character of the cyclic component, the indications and limitations to the use of the following statistical methods have been worked out: equalizing by the method of the least squares on a straight line, a parabola, an exponential or power curve; calculation of the average annual rate of increase; leveling of dynamic series by the methods of internal prolongation, sliding and suspended sliding mean values; calculation of deviations from the theoretical tendency line; autocorrection. 11 computer programs have been compiled on the basis of the algorithms of the above methods, complete with the service menu, for the program complex "Epidanalysis" which permits an epidemiologist to proceed from the problem via indications and limitations to the adequate statistical method and the corresponding software. The programs are intended for different types of computers (EC-1840, Robotron 1715, IBM PC XT).
Assuntos
Surtos de Doenças/estatística & dados numéricos , Algoritmos , Doenças Transmissíveis/epidemiologia , Métodos Epidemiológicos , Humanos , Microcomputadores , Estações do Ano , Software , Estatística como AssuntoRESUMO
Analysis of morbidity of dysentery and the rest diarrheal affections according to the books for primary recording of patients at one of the large administrative territories of the Northern Africa showed that official statistics reflected only 1/13 of dysentery patients who applied for medical aid (18.2 and 236.3 per 100 000 residents, respectively). Morbidity index of the rest of diarrheal affections constituted 2424.5 per 100 000. The mean lethality in diarrhea affections (including dysentery) was 1.7%. The fact that in the examination of 439 persons who came in contact with the patients suffering from typhoid fever the causative agents of dysentery were isolated in 19 (4.3%) indicated their wide circulation among the population.