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Twitter sentiment analysis on coronavirus: Machine learning approach
No full textIn machine learning, a fundamental challenge is the analysis of data to identify feelings using algorithms that allow us to determine the positive or negative emotions that people have regarding a topic. Social networks and microblogging are a valuable source of information, being mostly used to express personal points of view and thoughts. Based on this knowledge we propose a sentiment analysis of English tweets during the pandemic COVID-19 in 2020. The tweets were classified as positive or negative by applying the Logistic Regression algorithm, using this method we got a classification accuracy of 78.5%
The impact of the Covid-19 crisis on the economies of the Russian Arctic regions
No full textThe article examines the influence of the crisis caused by the Covid-19 on the economies of the Russian Arctic regions. In it, the authors demonstrate that even within one country, different economic conditions of the territories give rise to different forces and different characteristics of the manifestation of crisis phenomena, identifying the specifics of their manifestations in the regions of the Russian Arctic in comparison with the overall Russian situation, based on the analysis of statistical indicators. The approach of a comparative assessment of the impact of the crisis on the regions of the Russian Arctic used in the article gives visual and easily interpreted results. This analysis of the dynamics of indicators that characterize the situation in the labor market, in industrial production and retail trade in Russia as a whole and in the regions of the Russian Arctic indicated that the economy of the regions of the Russian Arctic demonstrates a specific reaction to the crisis caused by the Covid-19
Sars-cov-2 aerosol and surface contamination in health care settings: The moscow pilot study
No full textThe ongoing worldwide COVID-19 pandemic caused by SARS-CoV-2 has had serious impacts on not only the health care system but also all sectors of the economy. Thanks to the adoption of various epidemiological measures, a significant reduction in new cases of infection has been achieved. However, there are still “hotspots”, such as healthcare settings focused on treating patients with COVID-19, which are characterized by the risk of nosocomial transmission among health care workers, patients, and visitors. The proper monitoring and timely detection of pathogens in a hospital environment will help prevent further spread of coronavirus infection. In this study, we collected samples from the air and surface swabs at the First Moscow Infectious Diseases Hospital to study the spread of the SARS-CoV-2 in various hospital locations. More than 130 aerosol and surface samples were collected and analysed by RT-PCR. We detected viral contamination of the air in the intensive care unit (ICU) but not in the respiratory infection department where less severe patients are treated. The concentration of SARS-CoV-2 RNA was low, consisting of less than one copy per litre of air. The contact surfaces in both departments were contaminated with SARS-CoV-2. Considering the possible transmission of SARS-CoV-2 through fomites, these results indicate the need to strictly follow personal hygiene rules as well as wear personal protective equipment to prevent disease spread
COVID-19 antibody screening with SARS-CoV-2 red cell kodecytes using routine serologic diagnostic platforms
No full textBackground: The Coronavirus disease 2019 (COVID-19) pandemic is having a major global impact, and the resultant response in the development of new diagnostics is unprecedented. The detection of antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a role in managing the pandemic. We evaluated the feasibility of using SARS-CoV-2 peptide Kode Technology-modified red cells (C19-kodecytes) to develop an assay compatible with existing routine serologic platforms. Study Design and Methods: A panel of eight unique red cells modified using Kode Technology function-spacer-lipid constructs and bearing short SARS-CoV-2 peptides was developed (C19-kodecyte assay). Kodecytes were tested against undiluted expected antibody-negative and -positive plasma samples in manual tube and three column agglutination technology (CAT) platforms. Parallel analysis with the same peptides in solid phase by enzyme immunoassays was performed. Evaluation samples included >120 expected negative blood donor samples and >140 COVID-19 convalescent plasma samples, with independent serologic analysis from two centers. Results: Specificity (negative reaction rate against expected negative samples) in three different CAT platforms against novel C19-kodecytes was >91%, which correlated with published literature. Sensitivity (positive reaction rate against expected positive convalescent, PCR-confirmed samples) ranged from 82% to 97% compared to 77% with the Abbott Architect SARS-CoV-2 IgG assay. Manual tube serology was less sensitive than CAT. Enzyme immunoassay results with some Kode Technology constructs also had high sensitivity. Conclusions: C19-kodecytes are viable for use as serologic reagent red cells for the detection of SARS-CoV-2 antibody with routine blood antibody screening equipment
Students’ attitude to e-learning
No full textIn the context of the Covid-19 pandemic, the relevance of the transition to remote forms of training has increased not only for part-time students, but also for full-time ones. Online learning, based on the use of various electronic educational platforms, differs significantly from the traditional system and completely changes the entire educational process, including the forms of knowledge acquisition, control and assessment. ELearning has many advantages, but it can only be considered as an addition to traditional forms of training. However, under the conditions of the pandemic, remote learning for a certain period of time became the only form of communication between students and teachers and showed alongside with its advantages its shortcomings as well. It turned out that higher education is not only technically, but also organizationally unprepared for the transition to online education. This work examines the main aspects of the remote learning system as a necessary and effective technology in the current conditions. At the same time, our task is to analyze the negative assessments that students give to the current state of remote education
Neurological manifestations and neuroimaging findings in patients with SARS-CoV2—a systematic review
No full textBackgroundThe COVID-19 pandemic has drastically affected everyone in a hit or miss manner. Since it began, evidence of the neuro-invasive potential of the virus has been intensifying significantly. Several pathways have been hypothesized to elucidate the neurotropic nature of SARS-CoV2. It is the need of the hour to collect vital information.ObjectiveTo evaluate and correlate the neuro-radiological and neurological manifestations in patients diagnosed with SARS-CoV2.To identify neuro-invasive pathways of COVID infection.MethodsRelevant studies were identified through four databases—the Cochrane Library, PubMed, Science Direct, and Web of Science. These were searched using relevant keywords—“COVID-19,” “SARS-CoV2,” “neurological manifestations,” “neuroimaging,” “CT,” and “MRI.” Relevant articles were screened according to a pre-defined inclusion and exclusion criteria from December 2019 to August 2020.ResultsOur review included a total of 63 full text publications with 584 patients, composed mainly of observational studies, case reports, and case series. The most common neurological manifestations associated with COVID-19 were altered mental status, stroke, and paralysis. About 17.85% patients who underwent neuroimaging were found to be having ischemic changes suggestive of a stroke. This was followed by hemorrhagic changes as the second most common finding. The most commonly involved vessel was the Middle Cerebral Artery. Besides stroke, we found that SARS-CoV2 could be the cause for new-onset seizures, Guillain-Barre Syndrome, encephalitis, and many other severe neurological diseases.ConclusionThe information that we have obtained so far will prove dynamic to healthcare providers working against the COVID-19 pandemic. It is necessary to be aware of these atypical neurological findings for the early diagnosis and treatment of COVID-19 infected patients. However, to completely understand the connection between SARS-CoV2 and the nervous system, further research is necessary
Dynamics of changes in population immunity to the SARS-CоV-2 virus in residents the Irkutsk region in the context of the COVID-19 pandemic
No full textBackground. The ongoing COVID-19 pandemic in the world and in Russia remains the main event in 2020. A comprehensive study of the patterns of development and manifestations of the epidemic process of the new coronavirus infection COVID-19 is an urgent line of research. One of the important aspects of the fight against COVID-19 is the study of population immunity to the SARS-CoV-2 virus in order to assess seroprevalence and the formation process of post-infectious humoral immunity to SARS-CoV-2, forecast the development of the epidemiological situation, identify the features of the epidemic process, as well as planning measures for specific and non-specific disease prevention. The aim of the research is to determine the level and structure of population immunity to SARS-CoV-2 among the humans of the Irkutsk region during the COVID-19 epidemic . Materials and methods. As part of the Rospotrebnadzor project to assess population immunity to SARS-CoV-2 in the population of the Russian Federation, research is being conducted among the population of the Irkutsk region in the periods from 06/23/2020 to 07/19/2020 (stage 1), from 09/16/2020 to 09/25/2020 (Stage 2) and from 12/07/2020 to 12/18/2020 (stage 3), taking into account the reacted one recommended by the WHO. The content of antibodies to SARS-CoV-2 was determined by ELISA using a set of tests for human serum or plasma for specific immunoglobulins of class G to the nucleocapsid of the SARS-CoV-2 virus produced by FBUN GNCPMiB Rospotrebnadzor (Obolensk). The results of a research of the humoral immunity of volunteers show that during the period of an epidemic rise in the incidence of COVID-19 in the Irkutsk region, a low level of seroprevalence was formed (stage 1 – 5.8 ± 0.5%, stage 2 – 12,1 ± 0,7%), and in conditions of a long-term maximum increase in the incidence rate ¬– 25,9±1,0% (stage 3). A significant proportion (stage 1 – 81,2±3,2%, stage 2 – 90.9 ±1,9%) of asymptomatic forms of infection characterize the high intensity of the latently developing epidemic process in the first two stages. High levels of IgG in reconvalescents of COVID-19 persisted for an average of 3 to 4.5 months. Conclusion. The results of assessing the population immunity to the SARS-CoV-2 virus in the population of the Irkutsk region indicate that the seroprevalence level at the 3rd stage of the research was 25.9%. After the disease, on average, 41.6% of persons did not detect antibodies. The results obtained should be taken into account when organizing preventive measures, including vaccination, and predicting morbidity
Analysis of the Effect of Incentive Nursing Intervention in Children with Severe Viral Encephalitis and Myocarditis during Rehabilitation Based on Diffusion Weighted MRI
No full textBackground: Severe viral encephalitis in children causes a viral infection that damages their central nervous system. This situation arises the mental abnormalities, sudden rise in body temperature, disturbance of consciousness, and so forth in children, which can be life-threatening.
Objective: This work aimed at exploring the effect of diffusion weighted MRI on children with severe viral encephalitis and myocarditis.
Methods: This work presents a diffusion weighted MRI scanning method that involves scanning through a serial imaging device, axial scanning, and sagittal and coronal scanning. 60 children with severe viral encephalitis and myocarditis who admitted to Brain Hospital of Hunan Province from April 2017 to May 2020 were deemed as research subjects. All the children underwent CT and MRI examination, blood routine examination, and cerebrospinal fluid examination after admission. This work uses the random number table method to classify the subjects into control group and observation group, each consisting of 30 cases. Children in the control group were provided with the routine nursing intervention, whereas children in the observation group were subjected to incentive nursing intervention. The baseline data, ECG monitoring indicators, body abnormalities, and clinical symptom relief time of the two groups of children were compared and the results of diffusion weighted MRI scans were analyzed and the ADC values were counted.
Results: The two groups of children were compared on the basis of baseline data, and the variation was not statistically substantial (P > 0.05). The cases of children in the control group had higher heart rate and respiration, and physical dysfunction, language dysfunction, unconsciousness, and nervous dysfunction were more than those in the observation group. However, the cases of blood oxygen saturation were less than those of the observation group. After nursing intervention done for the control group, remission time of clinical symptoms such as convulsion, physical dysfunction, unconsciousness, and nerve dysfunction was longer relative to the observation group (all P < 0.05 are considered).
Conclusion: The diffusion weighted MRI had diagnostic significance for severe viral encephalitis and myocarditis. For children with severe viral encephalitis and myocarditis, clinical incentive nursing intervention was particularly imperative. It can not only help children to relieve symptoms and control the deterioration of the disease in a short time but also help improve the quality of life of the children and the confidence of family members to cope with the disease
Conversion of a maternity hospital to an infectious diseases hospital in the context of a coronavirus infection pandemic
No full textCoronavirus infection caused by a new strain of SARS-CoV-2 virus contributed to an increase in the number of infectious
patients. The Ministry of Health of the Russian Federation and Rospotrebnadzor took over the organization of work to combat
the pandemic. In Moscow, medical and preventive events were organized by the Government of the capital and the Department
of Health of the city. As soon as possible, it was decided to reassign medical institutions to infectious hospitals for the treatment of patients with COVID-19 or with suspicion of it. “Maternity hospital No. 8” – the branch of State Clinical Hospital named after V. P. Demikhov was redesigned as a hospital on March 13, 2020. The decision was due to the presence of isolated boxes and an intensive care unit in the institution. The task was solved in one day: the first patients with coronavirus infection were admitted to the hospital for medical care at 17:00 on March 13, 2020