Improving epidemiological surveillance of hiv infection through the introduction of modern information technologies

HIV infection is one of the global problems of modern healthcare. The incidence and prevalence of HIV infection in Russia varies depending on the region. The Altai Territory is included in the list of territories with the highest levels of these indicators. The purpose of the study is to show the role of the development of geoinformation technologies and neural network forecasting in the implementation of epidemiological surveillance of HIV infection in the Altai Territory. To analyze the HIV infection situation in the Altai Territory, a special program has been developed, using which a retrospective epidemiological analysis of the incidence, prevalence of HIV infection and mortality of people living with HIV has been conducted. The paper demonstrates the main features of the existing program and identifies its disadvantages. In particular, the software product is not intended for generalization and analysis of data from the molecular genetic monitoring of HIV conducted in the region. To eliminate these shortcomings, a new software product is being developed that will allow for the rapid analysis of large amounts of epidemiological, genetic, clinical and other data necessary for the epidemiological surveillance of HIV infection and the adjustment of measures to reduce the burden of this pathology using artificial intelligence.