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Another rise in the incidence of a new coronavirus infection (COVID-19), due to the penetration of the SARS-CoV-2 delta strain into Russia in the second half of April 2021, is characterized by rapid spread, severe course in adults and an increase in cases of the disease among children. The aim of the work is to assess the clinical and laboratory parameters of a new coronavirus infection (COVID-19) in children. Material and methods. The results of clinical and laboratory examination and complex therapy of 95 children with moderate and severe forms of COVID-19, hospitalized in the Republican Clinical Infectious Diseases Hospital in Ufa from May to September 2021, are presented. Results. The anamnesis of the disease and life, epidemiological, clinical and laboratory, instrumental data obtained during the examination of children with COVID-19 in the course of the disease were studied. Among the clinical manifestations in children, symptoms of acute respiratory infection (37.9+/-4.98%), pneumonia without respiratory failure (26.3+/-4.52%), pneumonia with acute respiratory failure (33.7+/-4.85%). In 2 patients of the first months of life (2.1+/-1.47%), against the background of a aggravated premorbid background, immunodeficiency, COVID-19 proceeded in an extremely severe form with a fatal outcome. Conclusion. The clinical manifestations of COVID-19 are similar in children and adults, but differ in the frequency of respiratory symptoms. A severe course with a fatal outcome was registered in children in the first months of life with a burdened premorbid background.Copyright © Infectious Diseases: News, Opinions, Training 2022.
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The rapid global spread of the coronavirus disease 2019 (COVID-19) is now a reality. China has taken urban traffic control measures to prevent and control the epidemic, but this has prevented the flow of people between cities. This study investigates the mechanism of the impact of urban traffic control measures on the intercity population flow in China using the one-way causal measurement method. The results show that the impact of urban traffic control measures on the intercity flow of the population changes with time. Based on this, this study makes scientific suggestions for the government on how to reasonably undertake traffic control measures. [ FROM AUTHOR] Copyright of Journal of Advanced Computational Intelligence & Intelligent Informatics is the property of Fuji Technology Press Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
Résumé
Background: Knowledge regarding the treatment cost of coronavirus disease 2019 (COVID-19) in the real world is vital for disease burden forecasts and health resources planning. However, it is greatly hindered by obtaining reliable cost data from actual patients. To address this knowledge gap, this study aims to estimate the treatment cost and specific cost components for COVID-19 inpatients in Shenzhen city, China in 2020-2021. Methods: It is a 2 years' cross-sectional study. The de-identified discharge claims were collected from the hospital information system (HIS) of COVID-19 designated hospital in Shenzhen, China. One thousand three hundred ninety-eight inpatients with a discharge diagnosis for COVID-19 from January 10, 2020 (the first COVID-19 case admitted in the hospital in Shenzhen) to December 31, 2021. A comparison was made of treatment cost and cost components of COVID-19 inpatients among seven COVID-19 clinical classifications (asymptomatic, mild, moderate, severe, critical, convalescent and re-positive cases) and three admission stages (divided by the implementation of different treatment guidelines). The multi-variable linear regression models were used to conduct the analysis. Results: The treatment cost for included COVID-19 inpatients was USD 3,328.8. The number of convalescent cases accounted for the largest proportion of all COVID-19 inpatients (42.7%). The severe and critical cases incurred more than 40% of treatment cost on western medicine, while the other five COVID-19 clinical classifications spent the largest proportion (32%-51%) on lab testing. Compared with asymptomatic cases, significant increases of treatment cost were observed in mild cases (by 30.0%), moderate cases (by 49.2%), severe cases (by 228.7%) and critical cases (by 680.7%), while reductions were shown in re-positive cases (by 43.1%) and convalescent cases (by 38.6%). The decreasing trend of treatment cost was observed during the latter two stages by 7.6 and 17.9%, respectively. Conclusions: Our findings identified the difference of inpatient treatment cost across seven COVID-19 clinical classifications and the changes at three admission stages. It is highly suggestive to inform the financial burden experienced by the health insurance fund and the Government, to emphasize the rational use of lab tests and western medicine in the COVID-19 treatment guideline, and to design suitable treatment and control policy for convalescent cases.
Sujets)
COVID-19 , Humains , COVID-19/épidémiologie , COVID-19/thérapie , Patients hospitalisés , Études transversales , , Coûts des soins de santé , Coûts indirects de la maladieRésumé
BACKGROUNDS: Components of addiction (salience, tolerance, mood modification, relapse, withdrawal, and conflict) is the most cited theoretical framework for problematic social media use (PSMU). However, studies criticized its ability to distinguish problematic users from engaged users. We aimed to assess the association of the six criteria with depression, anxiety, and stress at a symptom level. METHODS: Ten thousand six hundred sixty-eight participants were recruited. Bergen Social Media Addiction Scale (BSMAS) was used to detect six addiction components in PSMU. We applied the depression-anxiety-stress scale to assess mental distress. Latent profile analysis (LPA) was conducted based on BSMAS items. Network analysis (NA) was performed to determine the symptom-symptom interaction of PSMU and mental distress. RESULTS: (1) Social media users were divided into five subgroups including occasional users (10.6%, n = 1127), regular users (31.0%, n = 3309), high engagement low risk users (10.4%, n = 1115), at-risk users (38.1%, n = 4070), and problematic users (9.8%, n = 1047); (2) PSMU and mental distress varied markedly across subgroups. Problematic users had the most severe PSMU, depression, anxiety, and stress symptoms. High engagement users scored high on tolerance and salience criteria of PSMU but displayed little mental distress; (3) NA showed conflict and mood modification was the bridge symptoms across the network, while salience and tolerance exhibited weak association with mental distress. CONCLUSIONS: Salience and tolerance might not distinguish engaged users from problematic users. New frameworks and assessment tools focusing on the negative consequences of social media usage are needed.
Sujets)
Dépression , Médias sociaux , Humains , Dépression/diagnostic , Anxiété/diagnostic , Troubles anxieux , Troubles de l'humeurRésumé
BACKGROUND: The core components (CCs) of infection prevention and control (IPC) from World Health Organization (WHO) are crucial for the safety and quality of health care. Our objective was to examine the level of implementation of WHO infection prevention and control core components (IPC CC) in a developing country. We also aimed to evaluate health care-associated infections (HAIs) and antimicrobial resistance (AMR) in intensive care units (ICUs) in association with implemented IPC CCs. METHODS: Members of the Turkish Infectious Diseases and Clinical Microbiology Specialization Association (EKMUD) were invited to the study via e-mail. Volunteer members of any healt care facilities (HCFs) participated in the study. The investigating doctor of each HCF filled out a questionnaire to collect data on IPC implementations, including the Infection Prevention and Control Assessment Framework (IPCAF) and HAIs/AMR in ICUs in 2021. RESULTS: A total of 68 HCFs from seven regions in Türkiye and the Turkish Republic of Northern Cyprus participated while 85% of these were tertiary care hospitals. Fifty (73.5%) HCFs had advanced IPC level, whereas 16 (23.5%) of the 68 hospitals had intermediate IPC levels. The hospitals' median (IQR) IPCAF score was 668.8 (125.0) points. Workload, staffing and occupancy (CC7; median 70 points) and multimodal strategies (CC5; median 75 points) had the lowest scores. The limited number of nurses were the most important problems. Hospitals with a bed capacity of > 1000 beds had higher rates of HAIs. Certified IPC specialists, frequent feedback, and enough nurses reduced HAIs. The most common HAIs were central line-associated blood stream infections. Most HAIs were caused by gram negative bacteria, which have a high AMR. CONCLUSIONS: Most HCFs had an advanced level of IPC implementation, for which staffing was an important driver. To further improve care quality and ensure everyone has access to safe care, it is a key element to have enough staff, the availability of certified IPC specialists, and frequent feedback. Although there is a significant decrease in HAI rates compared to previous years, HAI rates are still high and AMR is an important problem. Increasing nurses and reducing workload can prevent HAIs and AMR. Nationwide "Antibiotic Stewardship Programme" should be initiated.