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J Hematol Oncol ; 14(1): 192, 2021 11 13.
Article in English | MEDLINE | ID: covidwho-1515448


BACKGROUND: To our knowledge, there is no clinical data pertaining to COVID-19 outcomes and safety of COVID-19 vaccination in Russian patients with genitourinary (GU) malignancies. Aim of our analysis was to describe the characteristics of the COVID-19 infection course as well as preliminary safety and efficacy of Gam-COVID-Vac vaccine in patients with active GU malignancies. METHODS: Patients were retrospectively identified at nine cancer centers in different regions. Patients were included if COVID-19 was diagnosed by a polymerase chain reaction. Data from additional patients with GU cancers who had no positive SARS-CoV-2 RT-PCR test before vaccination and who received two doses of Gam-COVID-Vac (Sputnik V) between 11 February and 31 August 2021 were collected for safety assessment. Anonymized data were collected through an online registry covering demographics, treatments, and outcomes. RESULTS: The Gam-COVID-Vac vaccine was well tolerated; no grade 3-5 toxicities were reported in 112 vaccinated metastatic GU cancer patients. The most common grade 1 adverse events (81%) were injection site reactions (76%), flu-like illness (68%), and asthenia (49%). Five patients experienced grade 2 chills (4.5%) and 3 patients had grade 2 fever (2.7%). With median follow-up of 6.2 months, two COVID-19 cases were confirmed by RT-PCR test in the vaccine group (of 112 participants; 1.8%). Eighty-eight patients with COVID-19 disease were included in the analysis. The average age as of the study enrollment was 66 (range 39-81) and the majority of patients were male with renal cell carcinoma (RCC). Thirty-six patients (41%) had evidence of metastatic disease, of these 22 patients were receiving systemic therapy. More than half of patients required hospitalization. Fifty-four patients (61%) experienced complications. Sixteen patients who developed COVID-19 pneumonia required mechanical ventilator support. Sixteen patients (18%) died in a median of 23.5 days after the date of COVID-19 diagnosis was established. The 3-month survival rate was 82%. Clinical and/or radiographic progression of cancer during COVID-19 infection or the subsequent 3 months was observed in 10 patients (11.4%). CONCLUSION: Patients with GU malignancies are at increased risk of mortality from COVID-19 infection when compared to the general population. Vaccination could be safe in GU cancer patients. TRIAL REGISTRATION: retrospectively registered.

COVID-19 Vaccines/therapeutic use , COVID-19/complications , COVID-19/prevention & control , Urogenital Neoplasms/complications , Adult , Aged , Aged, 80 and over , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19 Vaccines/adverse effects , Female , Humans , Male , Middle Aged , Retrospective Studies , Russia/epidemiology , SARS-CoV-2/isolation & purification , Treatment Outcome , Urogenital Neoplasms/epidemiology
Non-conventional | Grey literature | ID: grc-743949


The paper contains a review of classical approaches to the definition of society, social tension, and social movements. Social movements, especially those that take the form of protest, are considered. Possible sources of data used for analyzing social tension and protest activity - results of social surveys and data from social networks. The concept of "society" in classical and modern science is multifaceted. Society is a system of relationships between people built in a certain way, the basis of which is the norms of morality and universal values. Within the framework of Marxist ideology as one of the leading paradigms of the 20th century, society is defined through the joint activity of people. In the research of the British anthropologist Bronislaw Malinowski, society is represented as a system that functions within the framework of activities aimed at individual needs satisfaction. This provokes the development of coordination skills and improved connections between people, which become especially strong during periods of severe shocks. Social tension is a multidimensional concept that reflects, among others, the degree of dissatisfaction of the population with socio-economic conditions of life, while the main "pain points" are a decrease in the standard of living, insufficient housing, labor conflicts, etc. Special attention is paid to the socio-economic consequences of the COVID-19 pandemic: job loss, reduced well-being, and inability to lead a previous, habitual lifestyle. Their danger lies in the potential reason for the growth ofprotest activity.

Journal of Open Innovation: Technology, Market, and Complexity ; 6(3):85, 2020.
Article | MDPI | ID: covidwho-762782


The decrease in the economic activity level around the world due to the COVID-19 pandemic spread has led to a sharp decrease in the crude oil price and provoked an oil war outbreak in the global energy market. The current situation has provoked the need for a total decrease in the crude oil production in the world. Considering that Russia is one of the main oil exporters on the world market, the need to determine the supply and demand levels for Russian oil is becoming relevant. The aim of the paper is to model predictive scenarios of Russian oil industry development, considering the specifics of the current economic environment given the COVID-19 pandemic. The multifactor correlation modeling method was used to form the system of indicators determining the level of demand and supply for Russian oil used and the total level of their influence. The functions determine the probability of implementing various scenarios of oil industry development depending on the predicted values of demand and supply. The three-sigma rule and the fuzzy sets method were used to estimate three scenarios of oil industry development for 2020-2021. Changes in revenues of the industry under the influence of forecast indicators of supply and demand for oil have been assessed and the probability of implementation of each of the scenarios has been reasoned. The results obtained are of a practical nature and can be used by government agencies, financial intermediaries, and scientists to diagnose Russian oil industry development. The results will be useful for oil companies to develop a strategy of open innovations for further design of the scientific information field for the effective functioning of the industry in complete uncertainty conditions.