Distributed information system as a component of medical monitoring of infectious mordability

Дата публикации: 07.11.2024

Distributed information system as a component of medical monitoring of infectious mordability

Tokareva M.
Tlegenova T.
Аннотация: The developed distributed information system for assessing indicators of the spread of an infectious disease, as a component of medical monitoring of infectious disease, contributes to the procedure for a comprehensive assessment of areas at risk of infectious disease, which determines the relevance of its development. The developed methodology for creating a distributed system for assessing in-dicators of the spread of an infectious disease determined in what form it is necessary to provide statistical information and what materials will be most in demand in the healthcare sector. To justify the use of mathematical tools, various mathematical models were considered, among which the SEIR model, which was optimal for the analysis of many infectious diseases, was selected, which allows taking into account the incubation period, susceptibility and death of the infected. A database was designed and developed that includes information about areas, tags and changes in disease prevalence indicators. A service structure has been developed, a user interface that meets design and ergonomic requirements, is friendly and intuitive. The interactive application al-lows you to conveniently receive statistical information on the number of cases in the districts of the Orenburg region, by date, in the selected time period, and determine the minimum and maximum number of cases in relation to the area. The practical significance lies in the use of an information system for assessing the spread of an infectious disease to process and visualize medical statistical information, which will allow rational decision-making in the provision of med-ical care and the distribution of resources in the regions.
Ключевые слова: distributed information system, spread of infectious disease, meth-odological and geographical research method, statistical data.
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