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Article Citation - WoS: 4Citation - Scopus: 7Real-Time Learning and Monitoring System in Fighting Against Sars-Cov in a Private Indoor Environment(Mdpi, 2022) Erisen, SerdarThe SARS-CoV-2 virus has posed formidable challenges that must be tackled through scientific and technological investigations on each environmental scale. This research aims to learn and report about the current state of user activities, in real-time, in a specially designed private indoor environment with sensors in infection transmission control of SARS-CoV-2. Thus, a real-time learning system that evolves and updates with each incoming piece of data from the environment is developed to predict user activities categorized for remote monitoring. Accordingly, various experiments are conducted in the private indoor space. Multiple sensors, with their inputs, are analyzed through the experiments. The experiment environment, installed with microgrids and Internet of Things (IoT) devices, has provided correlating data of various sensors from that special care context during the pandemic. The data is applied to classify user activities and develop a real-time learning and monitoring system to predict the IoT data. The microgrids were operated with the real-time learning system developed by comprehensive experiments on classification learning, regression learning, Error-Correcting Output Codes (ECOC), and deep learning models. With the help of machine learning experiments, data optimization, and the multilayered-tandem organization of the developed neural networks, the efficiency of this real-time monitoring system increases in learning the activity of users and predicting their actions, which are reported as feedback on the monitoring interfaces. The developed learning system predicts the real-time IoT data, accurately, in less than 5 milliseconds and generates big data that can be deployed for different usages in larger-scale facilities, networks, and e-health services.Article Citation - WoS: 11Citation - Scopus: 11Impact of Vaccination on the Presence and Severity of Symptoms in Hospitalized Patients With an Infection of the Omicron Variant (b.1.1.529) of the Sars-Cov (subvariant Ba.1)(Elsevier Sci Ltd, 2023) Beraud, Guillaume; Bouetard, Laura; Civljak, Rok; Michon, Jocelyn; Tulek, Necla; Lejeune, Sophie; Epaulard, OlivierObjectives: The emergence of SARS-CoV-2 variants raised questions about the extent to which vaccines designed in 2020 have remained effective. We aimed to assess whether vaccine status was associated with the severity of Omicron SARS-CoV-2 infection in hospitalized patients.Methods: We conducted an international, multi-centric, retrospective study in 14 centres (Bulgaria, Croatia, France, and Turkey). We collected data on patients hospitalized for >= 24 hours between 1 December 2021 and 3 March 2022 with PCR-confirmed infection at a time of exclusive Omicron circu-lation and hospitalization related or not related to the infection. Patients who had received prophylaxis by monoclonal antibodies were excluded. Patients were considered fully vaccinated if they had received at least two injections of either mRNA and/or ChAdOx1-S or one injection of Ad26.CoV2-S vaccines. Results: Among 1215 patients (median age, 73.0 years; interquartile range, 57.0-84.0; 51.3% men), 746 (61.4%) were fully vaccinated. In multivariate analysis, being vaccinated was associated with lower 28 -day mortality (Odds Ratio [95% Confidence Interval] (OR [95CI]) = 0.50 [0.32-0.77]), intensive care unit admission (OR [95CI] = 0.40 [0.26-0.62]), and oxygen requirement (OR [95CI] = 0.34 [0.25-0.46]), independent of age and comorbidities. When co-analysing these patients with Omicron infection with 948 patients with Delta infection from a study we recently conducted, Omicron infection was associated with lower 28-day mortality (OR [95CI] = 0.53 [0.37-0.76]), intensive care unit admission (OR [95CI] = 0.19 [0.12-0.28]), and oxygen requirements (OR [95CI] = 0.50 [0.38-0.67]), independent of age, comorbidities, and vaccination status.Discussion: Originally designed vaccines have remained effective on the severity of Omicron SARS-CoV-2 infection. Omicron is associated with a lower risk of severe forms, independent of vaccination and pa-tient characteristics. Guillaume Beraud, Clin Microbiol Infect 2023;29:642 (c) 2022 The Author(s). Published by Elsevier Ltd on behalf of European Society of Clinical Microbiology and Infectious Diseases. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).