[The perception of problematic of digital future of national health care by students and graduates of medical university].

In the nearest future, global health care is to be changed dramatically because of digital transformation of medicine that is supported by numerous innovative technologies. The digitization of Russian health care nowadays is priority direction of its development. It requires from medical workers to have special knowledge and readiness to apply achievements of digital medicine as effectively as possible.

The impact of the COVID-19 pandemic on burnout levels among healthcare workers: A comparative analysis of the pandemic period and post-pandemic period.

Emotional burnout among physicians is a serious problem that can affect their health and the quality of medical care. This condition occurs when physicians experience excessive stress and pressure at work, often due to high demands and expectations imposed on them by patients. This study aims to assess the experience and factors associated with emotional burnout among health workers who deal with COVID-19-positive patients.

[The effect of COVID-19 pandemic on attitude of internet-space surfers to professional activity of physician].

The content-analysis was applied to messages (created in April-May of 2018, 2020, 2021 and 2022) from Internet. The drastic increase of interest of audience to issue of medical care support and professional activity of physicians during period of increasing of morbidity of COVID-19 was established. The changing of basic sites for placement of content notably augmentation of mass media role was noticed.

Accessibility and quality of medical care for patients with chronic noncommunicable diseases during COVID-19 pandemic.

The purpose of this study is to conduct a comparative analysis of the impact of the accessibility and quality of medical care provided to patients with chronic noncommunicable diseases (CNCDs) during COVID-19 pandemic on the course and outcome of COVID-19 infection. The study included 132 patients hospitalized with a diagnosis of COVID-19 and having one or more concomitant CNCDs. The patients were divided into two groups based on the quality of the initial CNCD therapy they received.

Predictive algorithm for the regional spread of coronavirus infection across the Russian Federation.

Background: Outbreaks of infectious diseases are a complex phenomenon with many interacting factors. Regional health authorities need prognostic modeling of the epidemic process.

Methods: For these purposes, various mathematical algorithms can be used, which are a useful tool for studying the infections spread dynamics.