Эпидемиология и вакцинопрофилактика (Jul 2021)
Information support for monitoring post-vaccination immunity against plague
Abstract
Relevance. The widespread use of information technologies, both when creating a database based on the results of immunological monitoring of persons vaccinated with the live plague vaccine, and for predicting the effectiveness of measures for specific prevention of plague in a specific territory, is aimed at ensuring epidemiological surveillance of plague in the territories of natural foci of infection. The aim of the work was to analyze the application of the created replenished database, which allows accumulating, archiving and systematizing the results of immunological monitoring of persons vaccinated against plague for informational support of sanitary and epidemiological surveillance of plague in the territories of natural foci of infection.Materials and methods. The database included the results of a prospective cohort observational study. The database was created on the Microsoft Access 8.0 platform, an interactive software development environment for Visual Basic 6.0 with VB (Visual Basic) and / or SQL (structured query language) queries. To store the data, TXT files connected to the database were used.Results. Permanent (region of residence, age, sex, blood group, genovariants of the human leukocyte antigen HLA) and variable (indicators of cellular and humoral immunity) parameters obtained as a result of long-term immunological monitoring of persons vaccinated with the live plague vaccine according to epidemic indications have been archived. Using the information support of the Database, an assessment of the state of anti-plague immunity was carried out and screening indicators of the immune status of the contingent at risk were determined, characterizing the individual response to vaccination.Conclusions. The introduction of information technologies, which are the basis for multifactorial risk management of vaccine prevention, based on the use of modern databases for collecting, storing and analyzing data, makes it possible to make management decisions to optimize the volume and timing of measures for specific prevention of plague in the territories of natural foci of infection and in institutions that ensure the implementation of work with pathogens of especially dangerous infections.
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