IS EMID is an information system created to automate the process of registration, accounting and response to identified cases of infectious morbidity, providing the Sanitary and Epidemiological Welfare and Public Health Service to carry out centralized control and monitoring of the epidemiological situation in a single organizational, legal, methodological and information space of the Service units, taking into account the forms of infectious morbidity and territorial affiliation.
In general, the introduction of IP into the practice of medical institutions and other authorized places will contribute to their effective management, timely identification and analysis of the situation of the necessary qualified medical care.
Tuberculosis remains a global public health problem, especially in the South Aral Sea region. The COVID-19 pandemic has exacerbated the TB epidemiological situation in the region. Because of the violation of the regimen in 2020, there was a decrease in the incidence of tuberculosis by 27%, in the success of treatment by 3% and growth in number of violations of the treatment regimen by 1.8 times, compared to 2019. In order to improve the quality of controlled treatment of tuberculosis, patients during the COVID-19 pandemic, the implementation of a pilot project "treatment under video surveillance" (LVN) has been launched. Currently, this project includes 30 patients. It is necessary to conduct an in-depth analysis of the effectiveness of the implemented measures, including treatment under video surveillance.
In this scientific report, the authors analyze the results of epidemiological examination cards, as well as the medical history of operated patients for echinococcal disease. The studies were carried out by the authors according to the generally accepted methodology for a retrospective epidemiological analysis of the incidence rate and at the same time an application form was created for examining patients suffering from hydatid disease. According to the authors, the developed “Model of the program of complex medical and diagnostic measures” is intended for early detection and for drawing up a plan for hygienic and surgical complex measures for echinococcal disease. The authors used highly informative research methods (ultrasound, CT, MSCT), as well as biochemical and morphological studies of patients with echinococcal disease in the pre- and postoperative period.
Environmental change, climate warming, increasing population density, high migration activity and other factors are provoking the emergence and spread of new infections around the world. The emergence in December 2019 of diseases caused by a new coronavirus ("coronavirus disease 2019") has already gone down in history as not a disease of minor importance, but a disease of great magnitude engulfing the entire humanity. It is known that the most common clinical manifestation of the new infection is pneumonia and, in a large proportion of patients, respiratory distress syndrome. In our article we present a brief analysis and literature review of the epidemiological and epidemiological picture, in addition, we note the etiopathogenesis and some of the nuances of the disease.
System for Traffic Sign Recognition and Classification is significantly important for especially traffic safety, traffic surveillance, artificial driver services and by all means, for self-driving cars. Traffic sign recognition plays an important role to tackle the traffic related obstacles. And, as traffic sign recognition is particularly applied to portable devices, lightweight models are essential aspect of the agenda. To overcome the mentioned problems, we propose lightweight convolutional neural networks with residual blocks based deep learning model for traffic recognition systems. We not only present the model efficiency but also show the several conducted experiments will well known deep CNN architectures over publicly available German traffic sign recognition benchmark. Our model showed 99.9 % accuracy by F-score, exceeding other models. At last, our model shows generally validity for traffic sign classification problem.
Evaluate the prevalence of congenital foot deformities in Brazil, as well as their epidemiological profile during the period of 2012 to 2022 and their impacts. This is a research conducted through secondary data analysis and cross-sectional typology in the databases of the Ministry of Health - Health Information (TABNET), made available by the Department of Informatics of the Unified Health System (DATASUS). Descriptors in health sciences: "deformidade do pé" and "foot deformities". A total of 55,472 cases of congenital foot deformities were registered in Brazil. The Southeast region had the highest prevalence with 43.1% of the cases. 57.3% of the cases were diagnosed by the age of 10 years old. The epidemiological profile of congenital foot deformities reveals risk factors to which a certain population is exposed, such as teratogenic agents.
The review article presents the epidemiological characteristics of bacterial vaginosis, data on the
lability of the composition of the vaginal microflora, including the species number of lactobacilli,
depending on the ethnicity of the woman and the geographical area of residence. Literature data on
factors affecting the composition of vaginal microbiocenosis, the most frequently detected types of
bacteria in bacterial vaginosis, are presented.
The aim of the research was to organize and conduct a prospective analytical epidemiological study to determine the prevalence of glaucoma in the Andijan region of the Fergana Valley.
Current epidemiological situation in morbidity and mortality in the world is characterized in the article, main social and economic indicators supporting spread of infectious agents are presented, principles, concepts and main provisions of WHO Expanded Program of Immunization (EPI) and three stages of EPI are presented. Topical issues of specific protection (vaccination) are highlighted, missed opportunities and ways to overcome them are shown. Attention is drawn to three main sources of evolutionary formation of human infectious diseases and various points of view concerning causes and mechanisms of evolutionary transformation by changing mechanism of transmission of microorganisms to the main host - microorganism are discussed.
SUMMARY
According to the World Health Organization (WHO), every year about 2 billion people fall ill with infectious diseases in the world. At the same time, infectious diseases account for almost 25% of all deaths, and in developing countries this figure reaches up to 45%. Thus, infectious diseases remain one of leading causes of death in the world. According to the WHO, out of about 50% of million people, 16-17 million die from infection and only 10 million from cardiovascular diseases. Out of 10 main causes of death on earth, 7 are somehow associated with infectious diseases.
The review article presents the epidemiological characteristics of bacterial vaginosis, data on the
lability of the composition of the vaginal microflora, including the species number of lactobacilli,
depending on the ethnicity of the woman and the geographical area of residence. Literature data on
factors affecting the composition of vaginal microbiocenosis, the most frequently detected types of
bacteria in bacterial vaginosis, are presented.