ABSTRACT
Background Since March 2020, Chile has been affected by the coronavirus disease 2019 (COVID-19) pandemic, which has caused disruptions throughout the world, greatly impacting health services and healthcare workers. Objective To describe the demographic characteristics related to the COVID-19 pandemic in orthopedic surgeons and orthopedic surgery residents in Chile. Methods We conducted an on-line survey requesting data on demographics, work, exposure to and infection by COVID-19, symptoms, and protection practices. Results A total of 567 surgeons answered the survey;37 (6.4%) had had COVID-19, without gender differences. Therewas a higher rate of infectionamong residents, 9 from73 (12.3%), than among surgeons, 28 from 494 (5.7%), as well as higher rates of infection among those working more than 60 hours (p<0.05). Among those infected, 31 (83.8%) were from the Metropolitan Region (MR), where the rate of infection was significantly higher compared with other regions (p< 0.05). Only 8 (21.6%) of those infected had medical history. Hospitalization was required by 3 (5.4%), 1 of them in the Intensive care Unit (ICU), and the remaining were handled at home. The most frequent location of infection was the workplace, with the common areas being the main suspected sites, followed by outpatient clinics and orthopedic surgery wards. In total, 40.5% (15) of the sample reported having infected other individuals. There was also an impact in the surgeon s income: 14.8% (84) reported a decrease lower than 20%, and 45% (256), a decrease higher than 50%. This decrease was higher among surgeons than among residents, and higher among those from the MR compared to other regions (p< 0.05). Conclusion Even though orthopedic surgery practice has been reduced by the pandemic, orthopedic surgeons have been exposed to the risk of infection by COVID-19. The workplace seems to be the site that poses the greatest risk, especially the common areas.Copyright © 2022 Georg Thieme Verlag. All rights reserved.
ABSTRACT
Objective: To characterize clinical indicators, comorbidity and laboratory variables associated with hospitalization and mortality in older people with Covid-19. Materials and methods: A systematic review was carried out in accordance with the PRIS-MA statement, in the Medline/Pubmed, Science databases. Direct and WOS, in which specific search strategies were applied to articles and studies that were published from the period of time between January 1, 2020 and November 26, 2020. Results: 28 articles were identified that met the the selection criteria, with a sum of the sample size of the included studies of 581,319 subjects (55.1% women). Of the factors analyzed, optimal functional status, female gender, lymphocyte count, curative use of anti-coagulants, and serum albumin levels have been associated with a better clinical prognosis in adults older than 65 years. Conclusions: Clinical characteristics, comorbidity and laboratory variables associated with hospitalization and morbidity were found. © 2022, Universidad del Norte. All rights reserved.
ABSTRACT
Corona virus disease 2019 (COVID-19) is an enduring extensive pandemic disease globally that infected several million people, occasionally leads to fatal.COVID-19 transfers from one person to another, the prevention is possible only through maintaining social distance.This paper proposed Internet of Things (IoT)-based smart wearable tags for social distance monitoring to prevent COVID-19.The advantage of the proposed system is that it alarms the person with the proposed tag and also entries the data in the IoT ledger of the channel for further analysis.The proposed system responds adequately so that social distancing can be maintained and pandemics can be prevented from further spreading.The analysis has been carried out using an experimental setup, and Thingspeak is used as an IoT channel for data analytics.The result shows the successfulness of the developed system in the prevention of pandemics with social distancing monitoring. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The new coronavirus pandemic is the biggest public health crisis the world has faced in more than a century. The fears and uncertainties generated by the sudden arrival, high danger and exponential growth of the disease together with subsequent measures such as isolation that drastically modified the routine, standard of living and economy of each individual greatly influenced the mental health of the patients. people, raising the reports of anxiety, depression and stress in the population. In order to diagnose the levels of the latter associated with the COVID-19 pandemic, a non-probability sampling was applied to students and professors of the Faculty of Medical Sciences of the University of Guayaquil (Ecuador) and health professionals, applying the Perceived Stress Scale (EEP-10), adapted and validated to the context of COVID-19, with quantitative, descriptive and transversal approaches. A total of 860 surveys were accepted, predominantly female (68.6%), and where 61% of the participants reported being a student while 27.8% work in health care. 13% of the respondents showed high levels of perceived stress with a mean of x = 17.017 (± 7.15) between a minimum value of 0 and a maximum of 40. In the multivariate analysis it was determined that gender (-2,399), having a family member with chronic diseases (-1,61), family member diagnosed with COVID-19 (-1,764) and family member who died with COVID-19 (-2,3) are variables that significantly influence the level of perceived stress. © 2021 Instituto de Altos Estudios de Salud Publica. All rights reserved.