ABSTRACT
In efforts to curb the spread of COVID-19, many countries have implemented a variety of lockdown and quarantine measures. With substantially reduced face-to-face interactions, many people may have relied heavily on social media for connection, information, and entertainment. However, little is known about the psychological and physical health implications of social media use during strict lockdown. The current study investigates the associations of social media use with psychological well-being and physical health among Wuhan residents (N = 1214). Our findings showed that non-COVID related self-disclosure was positively associated with psychological well-being, while COVID related information consumption and sharing were negatively associated with psychological well-being. Further, more generic use of social media was associated with lower psychological well-being, which in turn related to more somatic symptoms. Quarantined people used social media more frequently than non-quarantined people. Importantly, the negative association between social media use and psychological well-being was significantly stronger for quarantined people than unquarantined people. [ FROM AUTHOR] Copyright of Information, Communication & Society is the property of Routledge 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.)
ABSTRACT
The book's middle chapters examine the various bold and careful acts of Wuhan residents during the lockdown. A scrupulous student of China's internet, Yang devotes most of his attention to analyzing China's fast-changing internet culture through the lens of the Wuhan lockdown. After the Wuhan lockdown in early 2020, China imposed lockdown in every city where there was an outbreak, until it lifted the zero COVID policy in December 2022. [Extracted from the article] Copyright of Journal of Asian Studies is the property of Duke University Press 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.)
ABSTRACT
COVID-19 is the short name of the coronavirus disease discovered in Wuhan, China, in 2019. In the context of Tanzania, we develop a mathematical model in this work that compares lockdown and quarantine. Again, we provide evidence in favor of local and global stability, with the basic reproduction number, R 0 , determined to be 0.31 at the diagnostic test rates k 1 = k 2 = 0.05. In comparison to the lockdown, it has been discovered that isolating (or quarantining) affected individuals is the most effective way to stop the spread of COVID-19. Additionally, it is advised that governments in Tanzania and other African countries permit their citizens to go about their daily lives as long as they take the necessary precautions, such as donning face masks, washing their hands, and avoiding crowded gatherings in case of a recurrence of any form of COVID-19. [ FROM AUTHOR] Copyright of Computational & Mathematical Methods in Medicine is the property of Hindawi Limited 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.)
ABSTRACT
Background: Coronavirus disease 2019 (COVID-19) is a new infectious disease caused by the SARS-CoV-2 coronavirus, which first appeared in Wuhan and quickly spread around the world. The Middle-East respiratory syndrome (MERS) and severe acute respiratory syndrome (SARS) outbreaks in 2003 and more recently have demonstrated how lethal CoVs can be when they infect humans across the species barrier. The novel severe acute respiratory syndrome coronavirus 2 has threatened the world in many ways (SARS-CoV-2). Zonulin is a member of a protein family whose first member, pre-haptoglobin 2 (HP2), was discovered nearly ten years ago. (Rittirsch D 2013). Materials and Methods: A total of 120 Covid-19 patients' serum samples were collected and an apparently healthy group (n=60) with an age range (of 35-75) years, was admitted from ALAmal Hospital. Zonulin levels were measured by enzyme-linked immunosorbent assay (ELISA) (kit. Metabolic parameters were measured by enzymatic spectrophotometer methods. The correlation coefficients between serum Zonulin levels and age, BMI, Elements and electrolytes were also evaluated. Results: Serum Zonulin, CRP, D-dimer and ferritin levels were significantly higher in Patients with COVID-19 (324.4±12.46) vs in control (79.69±11.77), (42.67±1.84) vs in control (3.36±0.25), (4188.21±198.73) vs in control (289.43±251) and (738±20.09) vs in control (130.66±9.2) (P <0.001). The correlation of Zonulin levels in COVID-19 patients was significantly positive with age, CRP, D-dimer and ferritin levels but negative with Iron, Ca and Na levels. The serum of Zonulin levels in moderate COVID-19 patients significantly high compared with the critical and severe patients group. Conclusions: Serum Zonulin levels increased in COVID-19 patients, especially in severe cases. Therefore, Zonulin levels demonstrate a prognostic value for predicting the severity of COVID-19. Continuous Zonulin results throughout the study period revealed that the severe group's values were higher than those of the non-severe group. [ FROM AUTHOR] Copyright of Egyptian Academic Journal of Biological Sciences, C Physiology & Molecular Biology is the property of Egyptian Academic Journal of Biological Sciences 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.)
ABSTRACT
EpiCore was launched in 2013 and is a tool designed to supplement traditional infectious disease surveillance efforts by bringing together human, animal, and environmental experts on a digital platform to provide field-based verification efforts of global public health events1,2. Public health professionals from organizations around the globe, including Ending Pandemics, HealthMap, Geosentinel, MSF-OCBA, ProMED, and EDIS-RSOE, are trained as Moderators and are able to send Requests for Information (RFIs). Moderators utilize nontraditional resources, such as social media and news articles, to identify potential health events. Through EpiCore, moderators send out a RFI to EpiCore members located in a geographic area where a new or known health event is occurring. Health experts who receive the RFI may anonymously respond with information about the health event. A moderator reviews the responses and determines whether the information verifies a new event or updates a known ongoing event. Verified and updated events are summarized and published on the EpiCore public dashboard and shared with WHO EIOS. The study period was January 2020 - July 2022. In the study period, 231 RFIs were sent requesting signals about potential health events;111 of those RFIs received responses with information that allowed moderators to confirm or negate a suspected event, or update a known ongoing event. 82% of those RFIs were responded to within 24 hours. EpiCore is a resource for public health professionals and organizations to supplement traditional infectious disease surveillance efforts. For example, information collected through EpiCore was used to provide timely details on the emerging COVID-19 outbreak in Wuhan, China in January 2020. Additionally, responses to RFIs supported surveillance efforts of the 2022 global monkeypox outbreak. Future efforts include outreach and engagement with existing and new members to expand EpiCore's member base in countries with few to no members. [ FROM AUTHOR] Copyright of International Journal of Infectious Diseases is the property of Elsevier B.V. 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.)
ABSTRACT
The recent pandemic caused by the Coronavirus Disease (COVID-19) first surfaced in Wuhan, China in December 2019. This paper presents an expert system for the diagnosis of COVID-19 based on its symptoms to aid people in taking precautionary measures. When experts are not available, an expert system that can effectively diagnose the disease is crucial. It takes the place of one or more experts in decision-making and problem-solving. An expert system for diagnosis of COVID-19 is a system developed to recognize early COVID-19 symptoms that individuals may experience by allowing users to directly check the disease with results that can serve as a foundation for additional testing. This study's primary goal is to identify useful COVID-19 detection patterns or knowledge by examining the historical data we have obtained from the Kaggle dataset. The patterns are presented as rules, which are given to the expert system after consultation with a domain expert. A total of 1,048,575 pieces of data were used for model training and testing. To detect COVID-19 disease, we employ a PART rule-based algorithm, which performed 92.47% accurately in a 10-fold cross-validation test. We can therefore draw the conclusion that the algorithm produces a promising result and that the expert system aids in the diagnosis of the disease. The system offers a suggestion in line with the identified symptom. [ FROM AUTHOR] Copyright of Journal of Pharmaceutical Negative Results is the property of ResearchTrentz 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.)
ABSTRACT
A bacterial infection in the lungs can cause viral pneumonia, a disease. Later the middle of December 2019, there have been multiple episodes of pneumonia in Wuhan City, China, with no known cause;it has since been discovered that this pneumonia is actually a new respiratory condition brought on by coronavirus infection. Humans who have lung abnormalities are more likely to develop high-risk conditions;this risk can be decreased with much quicker and more effective therapy. The symptoms of Covid-19 pneumonia are similar to those of viral pneumonia;they are not distinctive. X-ray or Computed Tomography (CT) scan images are used to identify lung abnormalities. Even for a skilled radiologist, it might be challenging to identify Covid-19/Viral pneumonia by looking at the X-ray images. For prompt and effective treatment, accurate diagnosis is essential. In this epidemic condition, delayed diagnosis can cause the number of cases to double, hence a suitable tool is required is necessary for the early identification of Covid-19. This paper highlights various AI techniques as a part of our contribution to swift identification and curie Covid-19 to front-line corona. The safety of Covid-19 people who have viral pneumonia is a concern. Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), two AI technologies from Deep Learning (DL), were utilized to identify Covid-19/Viral pneumonia. The Algorithm is taught utilizing non-public local hospitals or Covid-19 wards, as well as X-ray images of healthy lungs, fake lungs from viral pneumonia, and ostentatious lungs from Covid-19 that are all publicly available. The model is also validated over a lengthy period of time using the transfer learning technique. The results correspond with clinically tested positive Covid-19 patients who underwent Swap testing conducted by medical professionals, giving us an accuracy of 78 to 82 percent. We discovered that each DL model has a unique expertise after testing the various models. [ FROM AUTHOR] Copyright of Journal of Pharmaceutical Negative Results is the property of ResearchTrentz 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.)
ABSTRACT
Introduction: Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first identified in December 2019 in Wuhan city, China. Following the outbreak of COVID-19 pandemic, to restrict the spread of virus, the Government has imposed strict measures with subsequent lockdowns as a result the home environment has become a workplace for many. Of all sectors the software domain is the most affected. Limited resource facility, work - engagement, work-life balance, family conflicts, stress management have been the challenges faced by these IT professionals working from home Aim: To analyze the impact of Covid 19 on health status and quality of life among software professionals in Covid pandemic through validated online questionnaires using google forms. Materials and Methods: This cross-sectional e-survey was conducted using validated questionnaires through google forms following approval of the Institutional Ethics Committee. The questionnaire consisted of 4 open ended and 21 close ended questions.Job-stress, physical and mental well-being, work life balance, work engagement was assessed.The google form was posted in social media channel groups of software professionals for a period of 2 weeks following which the data was collected.Statistical analysis was done using SPSS software version 22.0. Results: A total of 154 software professionals participated in the study. Of which 80 were females and belonged to the 26-30 years age group. 83% software professionals preferred working in hybrid mode. This study shows that working hours increased with increased work pressure in a home-based work setting (61%). Both work life balance and work engagement were fair in a home-based work setting (p-0.0001). Anxiety, depression and emotional problems affected work engagement and work life balance. Some professionals developed physical ailments such as hair fall, vision problems and back ache in a home-based work set up. Conclusion: The findings of this study suggests that emotional well-being, sleep quality,decision latitude,limited resource facilities and job stress affected work engagement and work life balance. Hence undertaking appropriate measures proactively to enhance these factors under crisis conditions may mitigate the negative consequences of home-based work setting and improve the quality of life of software developers in the covid pandemic. [ FROM AUTHOR] Copyright of Journal of Pharmaceutical Negative Results is the property of ResearchTrentz 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.)
ABSTRACT
Background:- Coronavirus disease (COVID-19) is caused by SARS-COV2 and represents the causative agent of a potentially fatal disease that is of great global public health concern. Based on the large number of infected people that were exposed to the wet animal market in Wuhan City, China, it is suggested that this is likely the zoonotic origin of COVID-19. Rates of infection and consequently, mortality have risen rapidly, resulting in a global pandemic. With no evidence- based treatments available, most countries have implemented quarantine measures to mitigate the spread of the virus. The world has largely focused on the physical suffering associated with COVID-19. However, the health sequelae of the pandemic are beginning to gain deserved attention. COVID-19 poses unique challenges to population mental health, given the colossal societal impact of nationwide lockdowns and health services struggling to cope. Mental health and well-being have been adversely affected by direct exposure to the virus (eg, depression, anxiety, grief, suicidality) and from the social and economic upheaval that is occurring at an individual and population level. Aim & Objectives: - The aim of study is to assess the stress disorder between 1st and 2 nd wave of covid-19 pandemic in Indian population. Material And Methodology:- An online study that was directed utilizing google form and link was sent utilizing WhatsApp, Facebook and Instagram and one to one interview was done. A self-answered questionnaire survey was utilized for the investigation. The study questionnaire took 4-5 minutes to finish. Total 461 responses were obtained in the specific time. Results & Discussion:- This study aims to understand the impact of stress disorder in COVID-19 infected patients in both the 1st and 2nd waves in India. This study reveals a high prevalence of anxiety and fear of COVID-19 among the people in India from 1 st wave to 2nd wave of pandemic. Among the risk factors, family members affected with COVID19 is one reason that has significantly increased the level of anxiety and stress in participants of the study. Conclusion:- Further analysis is required to help establish the syndrome's boundaries (e.g., are there other main aspects that must be included?) and to see if the syndrome varies significantly across cultures and populations. Additional measures must also be developed and tested. Currently, the COVID Stress Syndrome and Disorder can only be assessed using self-report measures. To enable a better understanding of COVID-19-related distress, clinician-administered question and answer session methods could be developed. [ FROM AUTHOR] Copyright of Journal of Pharmaceutical Negative Results is the property of ResearchTrentz 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.)
ABSTRACT
This study has examined the principles of care of the medical staff for the elderly with fracture problems and corona virus in the special care unit. While the Chinese health authorities had previously reported the average age of the disease to be 75 years. Elderly people, especially people with lung problems, have a mortality rate of about 15%. The coronavirus acts like a seasonal flu. According to the US Centers for Disease Control and Prevention (CDC), between 70 and 85 percent of all flu-related deaths and 50 to 70 percent of flu-related hospitalizations are among people over the age of 65. The most at-risk group is the elderly who live in day care centers. Among recovered patients with coronavirus in China, there is evidence that some of these patients have longterm lung damage. The researchers announced that among the 70 recovered patients, lung damage was observed in 66 of them in the CT scan. These injuries are caused by a build-up of hardened tissue that blocks blood vessels in tiny air sacs called alveoli, said Yuhei Wang, a radiologist at Huazhong University of Science and Technology in Wuhan, China. Alveoli absorb oxygen to form tissue debris around them. Tissue lesions can be a chronic symptom of lung diseases, including SARS and MERS, similar injuries were observed in recovered patients. [ FROM AUTHOR] Copyright of Journal of Pharmaceutical Negative Results is the property of ResearchTrentz 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.)
ABSTRACT
Due to the coronavirus (COVID-19) emerging in Wuhan, China, most employees had to work from home in unsuitable conditions. Employees are more affected by the factors that cause musculoskeletal disorders when working from home using information and communication technologies. The aim of the study was to determine the ergonomic risks related to the musculoskeletal system that teachers, who made up a large number of employees working in the service sector during the COVID-19 period, may be exposed to working remotely. For this, first of all, in line with the literature review and expert opinions, physical, psychosocial, and individual risk factors related to the musculoskeletal system were determined and the weight of the risk factors was calculated with the Analytic Network Process method. Work duration, posture, and physical environment constituted the highest risk factor among physical factors. With the Preference Ranking Organization Method for Enrichment Evaluations, information and communication devices were ranked according to their effects on the user. The ranking is determined by mobile phones, tablets, laptops, and desktop computers. It is concluded that it is necessary to pay attention to the risk factors specified in the use of these devices in order to prevent musculoskeletal system damage. [ FROM AUTHOR] Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis 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.)
ABSTRACT
The first case of COVID‐19 in India detected on January 30, 2020, after its emergence in Wuhan, China, in December 2019. The lockdown was imposed as anemergency measure by the Indian government to prevent the spread of COVID‐19 but gradually eased out due to its vast economic consequences. Just 15 days after the relaxation of lockdown restrictions, Delhi became India's worst city in terms of COVID‐19 cases. In this paper, we propose a variable‐order fractional SIR (susceptible, infected, removed) model at state‐level scale. We introduce a algorithm that uses the differential evolution algorithm in combination with Adam–Bashforth–Moulton method to learn the parameters in a system of variable‐order fractional SIR model. The model can predict the confirm COVID‐19 cases in India considering the effects of nationwide lockdown and the possible estimate of the number of infliction inactive cases after the removal of lockdown on June 1, 2020. A new parameter p is introduced in the classical SIR model representing the fraction of infected people that get tested and are thereby quarantined. The COVID‐19 trajectory in Delhi, as per our model, predicts the slowing down of the spread between January and February 2021, touching a peak of around 5 lakh confirmed cases. [ FROM AUTHOR] Copyright of Mathematical Methods in the Applied Sciences is the property of John Wiley & Sons, Inc. 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.)
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a type of human coronavirus that resulted in the 2019 coronavirus disease (COVID-19). Although it was generally categorized as a respiratory disease, its involvement in cardiovascular complications was identified from the onset. Elevated cardiac troponin levels (a myocardial injury marker) and echocardiograms, which showed the anomalous performance of the patients' hearts, were noted in the early case reports obtained from Wuhan, China. A couple of mechanisms have been proposed to explain COVID-19-induced cardiovascular complications, with systemic inflammation being the major focus recently. Chest pain and palpitations are among the prevalent symptoms in moderate to severe COVID-19-recovering patients. Cardiac damage potentially occurs due to multifactorial factors, which include cytokine-induced inflammation, direct cardiotoxicity, and disseminated intravascular coagulation (DIC), among others. The cardiovascular manifestations include cardiac arrhythmia, cardiogenic shock, venous thromboembolism, and elevated cardiac biomarkers. Both the long- and short-term effects of these cardiovascular complications remain puzzling to researchers, as substantial evidence is yet to be gathered to reach a consensus on the severity of COVID-19 in the heart. The treatment considerations currently include antiarrhythmic management, ACEI or ARB use, anticoagulation, hemodynamic support, and immunosuppression. This review aimed to outline the pathogenesis of the various cardiac complications due to COVID-19 as well as the available treatment modalities of COVID-19 infection. Both the mechanisms and the treatments have been succinctly explained in a proper manner to ensure understanding. [ABSTRACT FROM AUTHOR] Copyright of COVID is the property of MDPI 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 abstract 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 abstract. (Copyright applies to all Abstracts.)
ABSTRACT
The long-term viability of small businesses in the aftermath of multiple pandemics and consequent lockdowns has a crucial impact on the sustainable economic and social development of any region across the world. Thus, in order to investigate what has been the major impact of COVID-19 pandemic within local small businesses and to identify which main factors helped small businesses to survive none as well as multiple lockdowns, data were obtained from 382 small businesses in the main urban area of Wuhan, China, via two rounds of field investigations and surveys in July 2020 and July 2022. This paper presents the results of the field investigations and the surveys completed and describes the Bayesian methods applied to quantitatively explore the impact of different variables on the probability of each business to remain active and open even after experiencing none or multiple lockdowns. Results obtained show that the difference between survival rates associated with businesses hit by no pandemic outbreak with those hit by one or several waves is negligible. Furthermore, owners who had higher confidence in their abilities since the beginning or they implemented an accurate evaluation of their strategies to run their businesses since the start of the pandemic, demonstrated to have a higher probability to keep their business alive with none as well as additional waves of the pandemic. Reduction of employees, transition of operations and promotion activities online as well as rent subsidies and tax reduction were identified as crucial actions that enhanced the probability to maintain alive businesses that experienced at least one lockdown. Globally, there was no clear policy approach at the start of the pandemic, however this study clearly determines that in future governments should provide timely support to small businesses in regions experiencing more severe impacts of the pandemic, and this should consist of a mix of grants, loans, and temporary tax cuts since initial stages. Copyright © 2023 Li, Rubinato, Zhou, Li and Chen.
ABSTRACT
We investigated epidemiological findings regarding the route of coronavirus disease 2019 (COVID-19) and infection prevention and control (IPC) measures among returnees in the emergent evacuation from Wuhan, China to Japan under the COVID-19 outbreak in 2020. A total of 12 of 14 returnees (median age [range]: 49.5 years [29-65 years]; 9 men [75%]) were confirmed COVID-19. The proportions of returnees with COVID-19 were 12/566 (2.1%) in the 1-3 flights and 2/263 (0.8%) in the 4-5 flights. Six patients were asymptomatic on admission, while three patients developed symptoms thereafter. None reported a specific history of contact with animals, going to seafood markets, or visiting medical facilities. Two patients contacted with an individual confirmed or suspected to have COVID-19, respectively. Most patients resided in hotels in the center of Wuhan city, taking taxis and trains to work and supermarkets. Patients relatively adhered to IPC measures such as wearing a mask and hand hygiene. However, emphasis on IPC measures such as universal masking and more rigorous avoidance of exposure risk may have been necessary to prevent infection. In addition, forced social distancing due to lockdown might contribute to the lower infection rates in Flights 4 and 5, compared to Flights 1-3.
ABSTRACT
Background: Social distancing, mask, and sanitizers are advised to cut the chain of transmission of the droplet and airborne infection since the first case of COVID-19 was reported from Wuhan. Universal mask usage is advised by the center for disease control. Despite this, it is assumed that there is no adequate mask practice. Aims and Objectives: The objectives of the study are as follows: (1) To assess the knowledge and practice regarding optimal mask usage in a different setting by the general community. (2) To identify the barriers for optimal mask usage as experienced by users. Materials and Methods: We did a cross-sectional study in Kerala using self-made validated questionnaire translated to Malayalam, the regional language distributed by web based Google form. The sample size was calculated as 200 with an assumption of awareness regarding mask usage among the general public to be at least 60% with a confidence interval of 95 and allowable error of 10% Knowledge was considered as high if 80–100%, moderate if 60–79% and low if 0–59%. The practice was considered as good if >75, 74–50 satisfactory and if <50, it is termed as unsatisfactory. Results: Overall knowledge regarding masks and their usage was 52. 88% which is low. Only 38% were doing satisfactory practice. There were lacunae in knowledge regarding mask reusage (39.9%), ideal masks in hospital settings (43.3%). Only 26.4% practiced optimal method of mask removal and 38.4% safe mask disposal. Major barriers for mask usage were suffocation (49.3%) and exertional dyspnea (46.9%). Conclusion: More awareness needs to be created among the public for COVID appropriate behavior with a focus on mask usage. There is a need to address the commonly observed barriers for adhering to mask practice. [ FROM AUTHOR]
ABSTRACT
Introduction: The severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) associated pneumonia that emerged in Wuhan, China in December 2019 and was later declared by the World Health Organization to be a pandemic has called coronavirus disease-2019 (COVID-19). Our study aims to determine the anxiety levels, post-traumatic stress disorder (PTSD) symptoms levels and psychiatric symptoms of healthcare workers working at pandemic hospital and effects of these symptoms on psychological adjustment to healthcare professionals during the COVID-19 pandemic in Turkey. Methods: This study was cross-sectional survey study and conducted between March 2020-June 2020 with 973 consenting participants working at the pandemic hospital. For the study, we used an online questionnaire, which consisted of three parts: an online-informed consent, basic sociodemographic information and a set of online questions. The data were collected by the researchers. All procedures were approved by our hospital's Ethics Committee. Traumatic Stress Symptom Scale (TSSS) was used for the study. Results: Nine hundred and seventy-three persons participated in the study. Among the three groups, nurses also had the highest fear of dying during the COVID-19 pandemic (p<0.001);the highest feelings of hopelessness about the future during the COVID-19 pandemic (p<0.001);the highest increase in level of anxiety (p<0.001), and the highest experience of recent sleep disturbances (p<0.001). Women had a statistically significantly higher mean TSSS score and mean TSSS score of participants with doctors or medical specialization was lower than participants with other levels of education (p<0.001). Conclusion: Although the rate of PTSD was significantly higher in nurses in our study, PTSD was also seen in the other two groups. Indeed, it was much higher in people working in environments at high risk for COVID-19 than in the other groups. This may be the consequence of nurses' having greater exposure to COVID19-infected patients. This situation may be related to long working hours, inadequate rest and burnout. We recommend that healthcare workers work in the shift. [ FROM AUTHOR]
ABSTRACT
The aim of this research is to examine the attitudes of students studying in undergraduate departments of universities towards the use of distance education environments due to the COVID-19 epidemic detected in the city of Wuhan, Hubei province of the People's Republic of China. The method of the research;mixed method. The population of the research consists of 152 undergraduate students. Data collection tools of the research;the first vehicle;"Attitude scale regarding the use of distance education environments in the pandemic process" is the second tool in the research;it consists of a semi-structured interview form prepared by the researcher. Analysis of data;the data were analyzed in two ways. Firstly, ward technique, one of the hierarchical clustering analysis methods, was used and square Euclidean distance was chosen as a distance measure. Differences in attitudes towards the use of distance education environments according to ward's cluster analysis technique;it is classified into three clusters: Effectiveness and Satisfaction, Motivation and Dissatisfaction. After the classification, a random semi-structured interview form was applied to two students in each cluster formed. As a result;it has been concluded that students have positive and negative opinions about distance education activities. (English) [ FROM AUTHOR] Bu araştırmanın amacı, Çin Halk Cumhuriyeti'nin Hubei eyaletine bağlı Wuhan şehrinde tespit edilen COVID-19 salgın nedeniyle üniversitelerin lisans bölümlerinde okuyan öğrencilerin uzaktan eğitim ortamlarının kullanımına ilişkin tutumlarını incelemektir. Araştırmanın yöntemi;karma yöntemdir. Araştırmanın evrenini 152 lisans öğrencisi oluşturmaktadır. Araştırmanın veri toplama araçları;Ílk araç;Araştırmada "Pandemi sürecinde uzaktan eğitim ortamlarının kullanımına ilişkin tutum ölçeği" ikinci araç;araştırmacı tarafından hazırlanan yarı yapılandırılmış görüşme formundan oluşmaktadır. Verilerin analizi;veriler iki şekilde analiz edilmiştir. Ílk olarak hiyerarşik kümeleme analiz yöntemlerinden ward tekniği kullanılmış ve uzaklık ölçüsü olarak kare öklid uzaklığı seçilmiştir. ward'ın kümeleme analizi tekniğine göre uzaktan eğitim ortamlarının kullanımına yönelik tutum farklılıkları;Üç kümede sınıflandırılmıştır: Etkililik ve Memnuniyet, Motivasyon ve Memnuniyetsizliktir. Sınıflandırmadan sonra oluşturulan her kümede ikişer öğrenciye rastgele yarı yapılandırılmış görüşme formu uygulanmıştır. Sonuç olarak;öğrencilerin uzaktan eğitim etkinlikleri hakkında olumlu ve olumsuz görüşlere sahip oldukları sonucuna ulaşılmıştır. (Turkish) [ FROM AUTHOR] Copyright of Firat University Journal of Social Sciences / Sosyal Bilimler Dergisi is the property of Firat University, Social Sciences Institute 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.)
ABSTRACT
Background & Objective: Novel Coronavirus-2019, the cause of COVID-19, was first discovered at the end of 2019 in Wuhan City. Analysis of confirmed cases in China states that 7%-26% of patients with severe disease required intensive care. The high number of cases of COVID-19 forced the ‘North Sumatra Indonesian Society of Anesthesiology & Intensive Therapy (NSISAIT) COVID-19 Task Force’ to manage and monitor appropriate intensive therapy at selected referral hospitals. We conducted this study to know the comfort level of the NSISAIT COVID-19 Task Force during the management of intensive therapy at the COVID-19 referral hospitals. Methodology: This study used a descriptive observational method with a cross sectional design. A questionnaire was designed and circulated by electronic means among the physicians involved in management of COVID-19 patients as a part of NSISAIT COVID-19 Task Force. The responses received were grouped and categorized using MS Excel software. Results: The results of the study showed that the comfort level of the NSISAIT COVID-19 Task Force was categorized as satisfactory by almost half of the respondents. The COVID-19 handling was categorized as very good by 34 (65.4%) respondents;25 (48.1%) felt a fairly good level of security, 21 (40.4%) answered that the facilities and infrastructure at the referral hospitals were quite good, 28 (53.8%) respondents received a very good award;and 27 respondents (51.9%) carried out intensive therapy management quite well. Conclusion: The comfort level of the NSISAIT COVID-19 Task Force in the management of intensive therapy at the COVID-19 referral hospitals was in the comfortable category. Abbreviations: NSISAIT - North Sumatra Indonesian Society of Anesthesiology & Intensive Therapy;HCW - healthcare workers;PPE - personal protective equipment;[ FROM AUTHOR] Copyright of Anaesthesia, Pain & Intensive Care is the property of Department of Anaesthesia, Pain & Intensive Care 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.)