Kiakhta et la mondialisation (Kiakhta sur Internet et Internet à Kiakhta en 2003)

Cet article analyse la représentation sur Internet de la zone frontalière russo-mongole de Kiakhta. Il met en lumière les tendances principales à l’œuvre dans la constitution de l’image de Kiakhta sur l’Internet : la ville apparaît comme refermée sur elle-même. En outre, l’article rend compte de l’usage d’Internet à Kiakhta.This paper analyzes the Internet representation of the Russian/Mongolian borderland of Kiakhta. It sheds light on the main trends of this image on the Internet: the city appears closed onto itself. Moreover, the second half of this paper, which is based on qualitative sociological methods, explains the Internet usage in Kiahta, where there are very few computers

Random Sample of Russian Commercial Courts Cases 2007-2011

The dataset consists of 10893 random and manually coded results of Commercial Courts cases in Russian Federation from 2007 to 2011 and was used in several papers published by the Institute for the Rule of Law @ EUSP, Russia. Please, cite this source if you use the data for your research

Seroprevalence of SARS-CoV-2 antibodies in Saint Petersburg, Russia : a population-based study

Properly conducted serological survey can help determine infection disease true spread. This study aims to estimate the seroprevalence of SARS-CoV-2 antibodies in Saint Petersburg, Russia accounting for non-response bias. A sample of adults was recruited with random digit dialling, interviewed and invited for anti-SARS-CoV-2 antibodies. The seroprevalence was corrected with the aid of the bivariate probit model that jointly estimated individual propensity to agree to participate in the survey and seropositivity. 66,250 individuals were contacted, 6,440 adults agreed to be interviewed and blood samples were obtained from 1,038 participants between May 27 and June 26, 2020. Naïve seroprevalence corrected for test characteristics was 9.0% (7.2–10.8) by CMIA and 10.5% (8.6–12.4) by ELISA. Correction for non-response decreased estimates to 7.4% (5.7–9.2) and 9.1% (7.2–10.9) for CMIA and ELISA, respectively. The most pronounced decrease in bias-corrected seroprevalence was attributed to the history of any illnesses in the past 3 months and COVID-19 testing. Seroconversion was negatively associated with smoking status, self-reported history of allergies and changes in hand-washing habits. These results suggest that even low estimates of seroprevalence can be an overestimation. Serosurvey design should attempt to identify characteristics that are associated both with participation and seropositivity.publishedVersionPeer reviewe