METHODOLOGY for ASSESSING the FINANCIAL SECURITY of ENTERPRISES in the POST-PANDEMIC PERIOD of DIGITAL ECONOMY

The article considers the approaches to assessing the financial security of enterprises presented in the literature, determines the rsistance of the textile industry of Uzbekistan to the negative impact of the coronavirus pandemic on the basis of statistical data, and reveals a significant differentiation of textile industry enterprises in terms of financial stability. Based on data on small enterprises in the textile industry of Uzbekistan, a method for assessing the financial security of an enterprise in the post-pandemic period is proposed and tested, taking into account the complex influence of non-financial parameters of economic security and assessing the deviations of the economic situation at a given enterprise from the patterns emerging in the relevant segment of the economy. In this research an econometric model was developed to determine the factors affecting the chemical industry and express their interrelationship, based on the conducted econometric analysis, the directions of development in our country were determined. According to the authors, it is necessary to continue these directions in order to ensure the economic security of industry enterprises in the country. © 2022 ACM.

Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference

In this article, a multivariate count distribution with Conway-Maxwell (COM)-Poisson marginals is proposed. To do this, we develop a modification of the Sarmanov method for constructing multivariate distributions. Our multivariate COM-Poisson (MultCOMP) model has desirable features such as (i) it admits a flexible covariance matrix allowing for both negative and positive nondiagonal entries;(ii) it overcomes the limitation of the existing bivariate COM-Poisson distributions in the literature that do not have COM-Poisson marginals;(iii) it allows for the analysis of multivariate counts and is not just limited to bivariate counts. Inferential challenges are presented by the likelihood specification as it depends on a number of intractable normalizing constants involving the model parameters. These obstacles motivate us to propose Bayesian inferential approaches where the resulting doubly intractable posterior is handled with via the noisy exchange algorithm or the Grouped Independence Metropolis–Hastings algorithm. Numerical experiments based on simulations are presented to illustrate the proposed Bayesian approach. We demonstrate the potential of the MultCOMP model through a real data application on the numbers of goals scored by the home and away teams in the English Premier League from 2018 to 2021. Here, our interest is to assess the effect of a lack of crowds during the COVID-19 pandemic on the well-known home team advantage. A MultCOMP model fit shows that there is evidence of a decreased number of goals scored by the home team, not accompanied by a reduced score from the opponent. Hence, our analysis suggests a smaller home team advantage in the absence of crowds, which agrees with the opinion of several football experts. Supplementary materials for this article are available online.

Intentions of companies for health-promoting telework after the COVID-19 lockdown 2020

Background: Companies had to find quick solutions for continuing to work due to the pandemic in spring 2020. However, working conditions at home (teleworking) do not always comply with the basic principles and quality criteria of workplace health promotion (WHP). Objectives: How strongly is the approach of health-promoting telework (working at home) established in companies and what influences the strategic anchoring and the use of supporting materials? Materials and methods: Theoretically derived hypotheses were operationalised and 1858 Austrian companies were invited to participate in an online survey. The sample (n = 192) represents a broad mix of company sizes, sectors and regions. Results: Workplaces vary widely in their intention to implement health-promoting telework in the future. A part can be explained by multivariate path models, with behavioural control and social norms playing a central role. The former is determined by the degree of preparation for telework and its implementation in the company. In particular, teleworking culture, in addition to teleworking readiness, is shown to be responsible for the strength of social norms towards its implementation. Conclusions: Teleworking has so far received too little attention in the sense of holistic WHP. Such an implementation strongly depends on the health-promoting corporate structures and processes, the culture, and the decision-makers' scope for action. Companies are recommended to follow the concept of capacity building in order to build up competencies and knowledge and to enable appropriate measures.

IDDF2023-ABS-0156 Poor tolerance of bowel preparation for index colonoscopy decreases surveillance rate in high-risk adenoma removal patients

IDDF-2023-ABS-0156 Table 1Association between Tolerance of BP for index colonoscopy and surveillance rateTolerance of BP for index colonoscopy Surveillance rate% (n/N) Total 67% (127/186) 1. Very intolerable 47% (9/19) 2. Intolerable 48% (10/21) 3. Neither tolerable nor intolerable 76% (55/72) 4. Tolerable 71% (22/31) 5. Very tolerable 72% (31/43) P for trend test 0.04 IDDF2023-ABS-0156 Table 2Risk factors of non-compliance of surveillance colonoscopy by multivariate regression analysis Multivariate OR (95%CI) p value Age,/1-year increase 1.04 (1.03-1.05) 0.001 Male sex 1.13 (0.85-1.52) 0.40 BMI,/1-kg/m2 increase 1.05 (0.96-1.15) 0.28 Family history of CRC 0.93 (0.16-5.25) 0.92 Low education 0.92 (0.39-2.15) 0.90 Comorbidities 1.05 (0.51-2.13) 0.90 Low tolerance of BP for colonoscopy 2.45 (1.11-5.41) 0.006 Absence of primary care physician 4.63 (1.60-13.4) 0.001 BMI: body mass index, CRC: colorectal cancer, BP: bowel preparation IDDF2023-ABS-0156 Table 3The reasons of non-compliance surveillance colonoscopyReasons of non-compliance surveillance colonoscopy n, (%) Total 62 (100%) Not knowing about follow-up intervals 4 (6%) Having no symptoms 15 (24%) Fear of examination Pain during colonoscopy 1 (2%) Embarrassment during colonoscopy 0 (0%) Bowel preparation for colonoscopy 17 (28%) Over sedation during colonoscopy 2 (3%) Old age/severe illness for surveillance 10 (16%) Having no time 10 (16%) Having no money 1 (2%) Fear of Covid-19 infection 2 (3%) IDDF2023-ABS-0156 Figure 1ConclusionsOur findings highlight the need for improvement of the surveillance colonoscopy rate, especially for patients who had poor tolerance to BP on index colonoscopy and no gastroenterology visit. Providing a well-tolerated BP regimen may lead to an increase in surveillance colonoscopy compliance.

LABORATORY PARAMETERS ASSOCIATED WITH CODIV-19 CYTOKINE STORM DEVELOPMENT

BackgroundSince the end of 2019, physicians became more and more familiar with SARS-CoV-2 infection and the variety of forms in which it may present and evolve. There have been a lot of studies trying to understand and predict why some patients develop a dysregulation of the immune response, with an exaggerated release of pro-inflammatory cytokines, called cytokine storm (1–4). There is scarce evidence in Romania regarding this aspect.ObjectivesThis study aims to verify the correlation between some laboratory parameters and the development of cytokine storm in SARS-CoV-2 infection in a cohort of over 200 patients admitted in a tertiary hospital from Romania, hoping that early identification of these risk factors of progression to a severe form of the disease can bring considerable benefit to patient care.MethodsThis is an analytical, observational, case-control study which includes 219 patients (all COVID-19 hospitalized patients on the Internal Medicine 3 department of Colentina Clinical Hospital, Bucharest, from 01 March 2020 to 1 April 2021). A series of data were collected, the laboratory parameters being the most important, including: albumin, lymphocyte (percentage), neutrophil (absolute value), aspartate aminotransferase, alanine aminotransferase, D-dimers, lactate dehydrogenase (LDH), anionic gap, chloremia, potassium and the BUN:creatinine ratio (BUN - blood urea nitrogen). The laboratory parameters used for the statistical analysis represent the average values of the first 7 days of hospitalization for those who did not develop cytokine storm, respectively until the day of its development, for the others. Patients were classified into these groups, those who developed cytokine storm, respectively those who did not have this complication taking into account the clinical and paraclinical criteria (impairment of respiratory function, elevations of certain markers 2-3 times above the upper limit of normal, those who died as a result of SARS-CoV-2 infection). Then Binary Univariate Logistic Regression was applied in order to verify the individual impact of every laboratory parameter on cytokine storm development. Furthermore, all laboratory parameters were subsequently included in the multivariate analysis, using the backward selection technique to achieve a model as predictive as possible.ResultsWe mention that the analysis of demographic data was previously performed, showing no statistically significant relationship between patient gender, age or comorbidities (history of neoplasm, lung diseases, cardiac pathology, obesity, type II diabetes and hypertension) and their evolution to cytokine storm. After performing binary univariate logistic regression we concluded that 8 of the 13 laboratory analyzes have had a significant change between groups (ferritin, PCR, albumin, Lymphocyte, Neutrophils, TGO, LDH, BUN:creatinine ratio). Only 150 patients were then included in the multivariate analysis. After the analysis, some of the variables lost their statistical significance, the final model including C-reactive protein, neutrophilia, LDH, ferritin and the BUN:creatinine ratio. This model correctly predicts the development of cytokine storm in 88% of cases.ConclusionHigh C-reactive protein, neutrophilia, LDH, ferritin and the BUN:creatinine ratio are risk factors for cytokine storm development and should be monitored in all COVID-19 patients in order to predict their evolution.References[1]Pedersen SF et all. SARS-CoV-2: A storm is raging[2]Mehta P et al. COVID-19: consider cytokine storm syndromes and immunosuppression[3]Hu B et al. The cytokine storm and COVID-19.[4]Caricchio R et al. Preliminary predictive criteria for COVID-19 cytokine stormAcknowledgements:NIL.Disclosure of InterestsNone Declared.

COVID-19 Vaccine Willingness among African, Caribbean, and Black People in Ottawa, Ontario

Vaccines have been identified as a crucial strategy to control the spread of COVID-19 and reduce its impact. However, there are concerns about the acceptance of vaccines within African, Caribbean, and Black (ACB) communities. Based on a community sample of ACB people in Ottawa, Ontario (n = 375), the current study aimed to use logistic regression analysis and identify factors associated with COVID-19 vaccine willingness. A multivariate analysis shows that ACB people who believed that the ACB population is at a higher risk for COVID-19 were more likely to be willing to receive the vaccine compared to those who did not (OR = 1.79, p < 0.05). ACB people who had received at least one dose of the COVID-19 vaccine were more likely to be willing to receive it in the future (OR = 2.75, p < 0.05), and trust in government COVID-19 information was also positively associated with vaccine willingness (OR = 3.73, p < 0.01). In addition, English-speaking respondents were more willing to receive the vaccine compared to French-speaking respondents (OR = 3.21, p < 0.01). In terms of socioeconomic status, ACB people with a post-graduate degree (OR = 2.21, p < 0.05) were more likely to report vaccine willingness compared to those without a bachelor's degree. Based on these findings, we discuss implications for policymakers and directions for future research. [ 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 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.)

PATIENTS WITH AXIAL SPONDYLOARTHRITIS HAVE BETTER SARS-CoV-2 OUTCOMES COMPARED WITH PATIENTS WITH RHEUMATOID ARTHRITIS: DATA FROM THE NATIONAL SAR-COVID REGISTRY

BackgroundPatients with rheumatic diseases may present more severe SARS-CoV-2 infection compared to the general population. However, in some studies, hospitalization and mortality due COVID-19 were lower in patients with axial spondyloarthritis (axSpA) compared to other rheumatic diseases.ObjectivesTo assess the severity of SARS-CoV-2 infection in patients with axSpA from the SAR-COVID registry, comparing them with patients with rheumatoid arthritis (RA), and to determine the factors associated with poor outcomes and death.MethodsPatients ≥18 years old from the SAR-COVID national registry with diagnosis of AxSpA (ASAS criteria 2009) and RA (ACR/EULAR criteria 2010) who had confirmed SARS-CoV-2 infection (RT-PCR or positive serology), recruited from August 2020 to June 2022 were included. Sociodemographic and clinical data, comorbidities, treatments and outcomes of the infection were collected. Infection severity was assessed using the WHO-ordinal scale (WHO-OS)[1]: ambulatory [1], mild hospitalizations (2.3 y 4), severe hospitalizations (5.6 y 7) and death [8].Statistical analysisDescriptive statistics. Chi[2] or Fischer test and Student T or Mann-Whitney as appropriate. Poisson generalized linear model.ResultsA total of 1226 patients were included, 59 (4.8%) with axSpA and 1167 (95.2%) with RA. RA patients were significantly older, more frequently female, and had a longer disease duration. More than a third of the patients were in remission. 43.9 % presented comorbidities, arterial hypertension being the most frequent. At the time of SARS-Cov-2 diagnosis, patients with RA used glucocorticoids and conventional DMARDs more frequently than those with axSpA, while 74.6% of the latter were under treatment with biological DMARDs being anti-TNF the most used (61%).94.9 % of the patients in both groups reported symptoms related to SARS-CoV-2 infection. Although the differences were not significant, patients with RA presented more frequently cough, dyspnea, and gastrointestinal symptoms, while those with axSpA reported more frequently odynophagia, anosmia, and dysgeusia. During the SARS-CoV-2 infection, 6.8% and 23.5% of the patients with axSpA and RA were hospitalized, respectively. All of the patients with axSpA were admitted to the general ward, while 26.6% of those with RA to intensive care units. No patient with axSpA had complications or severe COVID-19 (WHO-OS>=5) or died as a result of the infection while mortality in the RA group was 3.3% (Figure 1).In the multivariate analysis adjusted to poor prognosis factors, no association was found between the diagnosis of axSpA and severity of SARS-CoV-2 infection assessed with the WHO-OS (OR -0.18, IC 95%(-0.38, 0.01, p=0.074).ConclusionPatients with EspAax did not present complications from SARS-CoV-2 infections and none of them died due COVID-19.Reference[1]World Health Organization coronavirus disease (COVID-19) Therapeutic Trial Synopsis Draft 2020.Figure 1.Outcomes and severity of SARS-CoV-2 infection in patients with axSpA and RA.[Figure omitted. See PDF]Acknowledgements:NIL.Disclosure of InterestsAndrea Bravo Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Tatiana Barbich Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Carolina Isnardi Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretati n, or writing the report. They do not have access to the information collected in the database., Gustavo Citera Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Emilce Edith Schneeberger Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Rosana Quintana Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Cecilia Pisoni Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Mariana Pera Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Edson Velozo Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Dora Aida Pereira Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Paula Alba Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Juan A Albiero Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Jaime Villafañe Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Hernan Maldonado Ficco Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Veronica Sa io Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Santiago Eduardo Aguero Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Romina Rojas Tessel Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Maria Isabel Quaglia Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., María Soledad Gálvez Elkin Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access tothe information collected in the database., Gisela Paola Pendon Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Carolina Aeschlimann Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Gustavo Fabian Rodriguez Gil Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Malena Viola Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Cecilia Romeo Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Carla Maldini Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Silvana Mariela Conti Grant/research support from: SAR-COVID is a multi-sponsor re istry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Rosana Gallo Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Leticia Ibañez Zurlo Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Maria Natalia Tamborenea Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Susana Isabel Pineda Vidal Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Debora Guaglianone Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Jonatan Marcos Mareco Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Cecilia Goizueta Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Elisa Novatti Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Fernanda Guzzanti Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Gimena Gómez Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Karen Roberts Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of t em participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database., Guillermo Pons-Estel Grant/research support from: SAR-COVID is a multi-sponsor registry, where Pfizer, Abbvie, and Elea Phoenix provided unrestricted grants. None of them participated or influenced the development of the project, data collection, analysis, interpretation, or writing the report. They do not have access to the information collected in the database.

Mortality from COVID-19 in patients with lung cancer

The World Health Organization declared coronavirus infectious disease-2019 (COVID-19) linked to the severe acute respiratory syndrome (SARS-CoV-2), a global pandemic in March 2020. The pandemic outbreak has led to the most unprecedented and catastrophic loss of human life in the recent history. As of January 2021, there were more than 100 million cases of COVID-19 and more than two million deaths worldwide. Compared to the general population, patients with cancer are at a higher risk of poor outcomes from COVID-19. In large cohort studies, mortality from COVID-19 in patients with cancer can be as high as 40%. In addition to clinical variables (older age, male sex, and co-morbidities) that are associated with mortality in general population, cancer patients are uniquely vulnerable to severe COVID-19 due to immunosuppression from cancer and its therapy, and disruption of routine clinical care. Among patients with cancer, the lung cancer population is at a higher risk of poor outcomes and mortality from COVID-19 for several reasons. For instance, lung is the main target organ in COVID-19 that can lead to respiratory failure, patients with lung cancer have baseline poor lung function from chronic obstructive pulmonary disorder and smoking. In addition, some of the lung cancer treatment side-effects like pneumonitis, may obscure the diagnosis of COVID-19. In this article, we systematically review the most impactful cohort studies published to date in patients with cancer and COVID-19. We describe the rates of mortality in patients with cancer and COVID-19 with a special focus on the lung cancer population. We also summarize the factors associated with poor outcomes and mortality in patients with lung cancer and COVID-19.Copyright © The Author(s) 2021.

Effect of physical activity on stress and the sense of community during the COVID-19 pandemic: The role of gender and age

Despite their effectiveness in minimizing the spread of infection, movement restrictions adopted during the Coronavirus disease 2019 (COVID-19) pandemic have not been without their health-related consequences, including decreases in physical activity and increases in sedentary behavior. This study aimed to investigate differences in stress and sense of community among Korean citizens in various age groups according to the degree of their participation in physical activity during the COVID-19 pandemic. We analyzed data collected during the Social Survey of Busan Metropolitan City 2020, the population of which included all household members over the age of 15. Data for a total of 33,082 participants (male = 15,129;female = 17,953) were extracted using a two-stage cluster sampling method. Age, stress level, and sense of community were analyzed using independent t-tests, while the frequency of participation in physical activity was analyzed using a Mann-Whitney U test. Differences in stress level and community consciousness according to the frequency of physical activity were examined via multivariate analysis of variance. Variables exhibiting significant differences were evaluated for differences between groups through Scheffe's post hoc analysis. First, stress levels were higher among female adolescents than male adolescents. Among adults and older adults, men exhibited higher overall stress levels than women, whereas sense of community was stronger in women than men. Second, male adolescents in the regular physical activity participation group showed lower levels in some factors of stress than those in the nonparticipating group. Finally, a higher frequency of participation in physical activity among adults and older adults was associated with lower stress and higher sense of community, regardless of gender. In conclusion, regular participation in physical activity should be considered when designing strategies for managing stress and promoting social relationships at the national and individual levels during COVID-19 and any similar pandemics in the future.Copyright ©2023 The Author(s). Published by MRE Press.

[Multidimensional analysis of the evolution of the COVID-19 pandemic in countries of the AmericasAnálise multidimensional da evolução da pandemia da COVID-19 em países das Américas]. / Análisis multidimensional de la evolución de la pandemia de la COVID-19 en países de las Américas.

Objective: To evaluate the evolution of the COVID-19 pandemic in countries of the Americas, comparing health system data from before the appearance of the virus in the Region, accumulated cases and deaths before the deployment of public immunization strategies, and the current state of vaccination. Methods: An HJ-Biplot multivariate analysis and cluster analysis were performed for 28 countries in the Region of the Americas at three points in time: December 2019, December 2020, and December 2021. Results: In the Americas, heterogeneity was observed in the actions implemented to contain the pandemic, and this was reflected in different groups of countries. Conclusions: Not all countries in the Region of the Americas had the health conditions necessary to contain COVID-19. At the end of 2019, the United States, Canada, Brazil, and Cuba had advantages over other countries in the Region; however, actions implemented during 2020 to contain the pandemic created different groups of countries in terms of the prevalence of infections and deaths. At the end of 2020, Bolivia, Ecuador, and Mexico had critical levels of mortality. At the end of 2021, after the implementation of vaccination plans, more than 60% of the population of Argentina, Brazil, Canada, Chile, Colombia, Costa Rica, Cuba, Panama, the United States, and Uruguay had completed the vaccination schedule.

Objetivo: Avaliar a evolução da pandemia da COVID-19 entre os países das Américas, comparando os dados dos sistemas de saúde antes da chegada do vírus à região em relação aos casos e mortes acumuladas antes da implementação de estratégias de imunização da população e a situação atual da vacinação. Métodos: Foi realizada uma análise multivariada HJ-Biplot e uma análise de agrupamentos para 28 países da região das Américas, em três períodos: dezembro de 2019, de 2020 e de 2021. Resultados: No continente americano, observa-se heterogeneidade nas ações implementadas para conter a pandemia, o que se reflete nos diferentes grupos de nações. Conclusões: Nem todos os países da região das Américas contavam com as condições sanitárias necessárias para conter a COVID-19. No fim de 2019, Estados Unidos, Canadá, Brasil e Cuba tinham uma vantagem sobre os demais países da região. No entanto, a pertinência das ações implementadas durante o ano de 2020 para conter a pandemia gerou diferentes grupos de países segundo a prevalência de contágios e mortes. Naquele momento, Bolívia, Equador e México apresentavam níveis críticos de letalidade. No fim de 2021, após a implementação dos planos de vacinação, Argentina, Brasil, Canadá, Chile, Colômbia, Costa Rica, Cuba, Panamá, Estados Unidos e Uruguai registravam mais de 60% de sua população com esquema vacinal completo.

Student perceptions of remote learning transitions in engineering disciplines during the COVID-19 pandemic: a cross-national study

This study captures student perceptions of the effectiveness of remote learning and assessment in two associated engineering disciplines, mechanical and industrial, during the COVID-19 pandemic in a cross-national study. A structured questionnaire with 24 items on a 5-point Likert scale was used. Parallel and exploratory factor analyses identified three primary subscales. The links between student perceptions and assessment outcomes were also studied. There was a clear preference for face-to-face teaching, with the highest for laboratories. Remote live lectures were preferred over recorded. Although students found the switch to remote learning helpful, group work and communication were highlighted as concern areas. Mean scores on subscales indicate a low preference for remote learning (2.23), modest delivery effectiveness (3.05) and effective digital delivery tools (3.61). Gender effects were found significant on all subscales, along with significant interactions with university and year-group. Preference for remote delivery of design-based modules was significantly higher than others.

Trading Risk Spillover Mechanism of Rare Earth in China: New Perspective Based on Time-Varying Connectedness Approach

Our research contributes a new point of view on China's rare earth dynamic risk spillover measurement;this was performed by combining complex network and multivariate nonlinear Granger causality to construct the time-varying connectedness complex network and analyze the formation mechanism using the impulse response. First, our empirical research found that for the dynamic characteristics of China's rare earth market, due to instability, uncertainty, and geopolitical decisions, disruption can be captured well by the TVP-VAR-SV model. Second, except for praseodymium, oxides are all risk takers and are more affected by the impact of other assets, which means that the composite index and catalysts are main sources of risk spillovers in China's rare earth trading complex network system. Third, from the perspective of macroeconomic variables, there are significant multivariate nonlinear impacts on the total connectedness index of China's rare earth market, and they exhibit asymmetric shock characteristics. These findings indicate that the overall linkage of the risk contagion in China's rare earth trading market is strong. Strengthening the interconnections among the rare earth assets is of important practical significance. Empirical results also provide policy recommendations for establishing trading risk protection measures under macro-prudential supervision. Especially for investors and regulators, rare earth oxides are important assets for risk mitigation. When rare earth systemic trading risk occur, the allocation of oxide rare earth assets can hedge part of the trading risk.

Total Value Adjustment of Multi-Asset Derivatives under Multivariate CGMY Processes

Counterparty credit risk (CCR) is a significant risk factor that financial institutions have to consider in today's context, and the COVID-19 pandemic and military conflicts worldwide have heightened concerns about potential default risk. In this work, we investigate the changes in the value of financial derivatives due to counterparty default risk, i.e., total value adjustment (XVA). We perform the XVA for multi-asset option based on the multivariate Carr–Geman–Madan–Yor (CGMY) processes, which can be applied to a wider range of financial derivatives, such as basket options, rainbow options, and index options. For the numerical methods, we use the Monte Carlo method in combination with the alternating direction implicit method (MC-ADI) and the two-dimensional Fourier cosine expansion method (MC-CC) to find the risk exposure and make value adjustments for multi-asset derivatives.

Genetic Variation of New Purple-Fleshed Sweet Potato (Ipomoea batatas L.) Genotypes in Indonesia by Multivariate Analysis

Purple-fleshed sweet potato (PFSP) is a major staple food and feed material in tropical countries. The pandemic of COVID-19 that encouraged healthy lifestyles worldwide further increases the importance of PFSP. Despite its importance, the investment in research to improve PFSP in Indonesia was left behind. The objective of the research was to estimate the genetic variation and genetic distance of new PFSP genotypes prior to variety release. The research trials were arranged in a randomized block design, with nine new PFSP genotypes from polycrosses breeding as treatments and three check varieties in four growing environments in West Java, i.e., Cilembu, Jatinangor, Maja, and Karangpawitan during one season. Agronomic traits data were analyzed by the multivariate analysis. The principal component analysis (PCA) showed high genetic variation of PFSP in four environments. The eigenvalue ranges from 1.92 to 5.29 in Cilembu which contributed to 80.958% variability, 0.543–6.177 which contributed variability to 92.135% in Jatinangor, 0.824–5.695 in Karangpawitan which contributed to 92.117%, and 0.822–4.797 in Maja which contributed to 86.133%. Storage root length, storage root diameter, number of roots per plant, total root weight per plant, number of marketable/commercial roots, marketable/commercial root weight, number of roots per plot, and total storage root weight have a discriminant value of more than 0.7 in PC 1. Agglomerative hierarchical clustering (AHC) showed a wide distribution obtaining two clusters in Cilembu with euclidean distance 1.92–5.29, Jatinangor 1.72–6.09, Karangpawitan 1.28–6.38, and Maja 2.05–5.09. High genetic variation in the four environments greatly supports to the development of PFSP new varieties. [ FROM AUTHOR] Copyright of International Journal of Agronomy 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.)

A Multivariate Deep Learning Model with Coupled Human Intervention Factors for COVID-19 Forecasting

Artificial intelligence (AI) technology plays a crucial role in infectious disease outbreak prediction and control. Many human interventions can influence the spread of epidemics, including government responses, quarantine, and economic support. However, most previous AI-based models have failed to consider human interventions when predicting the trend of infectious diseases. This study selected four human intervention factors that may affect COVID-19 transmission, examined their relationship to epidemic cases, and developed a multivariate long short-term memory network model (M-LSTM) incorporating human intervention factors. Firstly, we analyzed the correlations and lagged effects between four human factors and epidemic cases in three representative countries, and found that these four factors typically delayed the epidemic case data by approximately 15 days. On this basis, a multivariate epidemic prediction model (M-LSTM) was developed. The model prediction results show that coupling human intervention factors generally improves model performance, but adding certain intervention factors also results in lower performance. Overall, a multivariate deep learning model with coupled variable correlation and lag outperformed other comparative models, and thus validated its effectiveness in predicting infectious diseases.

Analysis Factors that Affect Low Back Pain in Medical Students during the Study from Home

Low Back Pain (LBP) is a health problem that affects performance in working. Indonesia is a country affected by the COVID-19 pandemic, so a study from the home policy has been issued. This study aimed to determine the association between the factors that affect LBP in Medical Students at the Faculty of Medicine, University of Mataram during the study from home. This study is an observational analytic study design with the cross-sectional approach. The population of this study is Medical Students, Faculty of Medicine, University of Mataram with total sample of 185 people. Collecting data using questionnaires and analyzed using univariate, bivariate, and multivariate analysis. According to univariate analysis, amount of LBP complaints (53 people). Based on bivariate analysis, the p-value of gender factor (0.000);body mass index factor (0.840);social-economy status factor (0.499);sitting position factors (sitting position while studying factor (0.008), sitting location while studying factor (0.046), chair shape while studying factor (0.286), body position while studying factor (0.037), legs position while studying factor (0.339), back support use while studying factor (0.455), table use while studying factor (0.010), elbows position while studying factor (0.627), stretching between study time factor (0.372), duration in each stretch factor (0.389), time range between stretch factor (0.311)), and sitting duration factor (0.011). Based on multivariate analysis, the strength of the association (OR) to LBP are sitting position factor (sitting position while studying factor) (8.232), sitting duration factor (1.956), and gender factor (0.187). The dominant factors to LBP are gender factor, sitting position factor (sitting position while studying factor), and sitting duration factor. The factor that has the strongest association with LBP is sitting position factor (sitting position while studying factor).Copyright Published by Oriental Scientific Publishing Company © 2023.

Betriebliche Absichten für gesundheitsförderliche Telearbeit nach dem COVID-19-Lockdown 2020

ZusammenfassungHintergrundUnternehmen mussten wegen der Pandemie im Frühjahr 2020 schnelle Lösungen für die Weiterarbeit – von zu Hause aus – finden. Die Arbeitsbedingungen zu Hause (Telearbeit) entsprechen nicht immer den Grundprinzipien und Qualitätskriterien der betrieblichen Gesundheitsförderung (BGF).FragestellungWie stark ist der Ansatz gesundheitsförderlicher Telearbeit (Arbeit im Homeoffice) in Betrieben verankert und was beeinflusst die strategische Etablierung und Nutzung unterstützender Materialien?Material und MethodenTheoretisch abgeleitete Hypothesen wurden operationalisiert und 1858 österreichische Betriebe zur Teilnahme an einer Online-Befragung eingeladen. Die Stichprobe (n = 192) repräsentiert einen breiten Mix aus Unternehmensgrößen, Sektoren und Regionen.ErgebnisseBetriebe variieren stark in der Absicht zukünftig gesundheitsförderliche Telearbeit umzusetzen. Ein Teil der Variation kann durch multivariate Pfadmodelle aufgeklärt werden, wobei die Verhaltenskontrolle und die sozialen Normen eine zentrale Rolle einnehmen. Erstere wird vom Grad der Vorbereitung auf Telearbeit und ihre Umsetzung im Unternehmen bestimmt. Insbesondere zeigt sich, dass die Telearbeitskultur und die ‑bereitschaft für die Stärke von sozialen Normen gegenüber der Umsetzung von Telearbeit verantwortlich sind.SchlussfolgerungTelearbeit wurde bisher zu wenig im Sinne einer ganzheitlichen BGF betrachtet. Eine derartige Umsetzung hängt stark von Unternehmensstrukturen und -prozessen, der Kultur und den Handlungsspielräumen der Entscheidungsträger ab. Betrieben wird empfohlen, Kompetenzen aufzubauen und sich am Konzept der Kapazitätsbildung zu orientieren.

Health Information Technology Adoption at U.S. Home Health Care Agencies: Results from a Multi-Methods Study

Health information technology (HIT) holds potential to transform Home Health Care (HHC), yet, little is known about its adoption in this setting. In the context of infection prevention and control, we aimed to: (1) describe challenges associated with the adoption of HIT, for example, electronic health records (EHR) and telehealth and (2) examine HHC agency characteristics associated with HIT adoption. We conducted in-depth interviews with 41 staff from 13 U.S. HHC agencies (May-October 2018), then surveyed a stratified random sample of 1506 agencies (November 2018-December 2019), of which 35.6% participated (N = 536 HHC agencies). We applied analytic weights, generating nationally-representative estimates, and computed descriptive statistics, bivariate and multivariable analyses. Four themes were identified: (1) Reflections on providing HHC without EHR;(2) Benefits of EHR;(3) Benefits of other HIT;(4) Challenges with HIT and EHR. Overall, 10% of the agencies did not have an EHR;an additional 2% were in the process of acquiring one. Sixteen percent offered telehealth, and another 4% were in the process of acquiring telehealth services. In multivariable analysis, EHR use varied significantly by geographic location and ownership, and telehealth use varied by geographic location, ownership, and size. Although HIT use has increased, our results indicate that many HHC agencies still lack the HIT needed to implement technological solutions to improve workflow and quality of care. Future research should examine the impact of HIT on patient outcomes and the impact of the COVID-19 pandemic on HIT use in HHC.

The Multivariate Skewed Log-Birnbaum–Saunders Distribution and Its Associated Regression Model

In this article, a multivariate extension of the unit-sinh-normal (USHN) distribution is presented. The new distribution, which is obtained from the conditionally specified distributions methodology, is absolutely continuous, and its marginal distributions are univariate USHN. The properties of the multivariate USHN distribution are studied in detail, and statistical inference is carried out from a classical approach using the maximum likelihood method. The new multivariate USHN distribution is suitable for modeling bounded data, especially in the (0,1)p region. In addition, the proposed distribution is extended to the case of the regression model and, for the latter, the Fisher information matrix is derived. The numerical results of a small simulation study and two applications with real data sets allow us to conclude that the proposed distribution, as well as its extension to regression models, are potentially useful to analyze the data of proportions, rates, or indices when modeling them jointly considering different degrees of correlation that may exist in the study variables is of interest.

Investigation of behavioral influences of carpool adoption for educational trips – A case study of Thammasat University, Thailand

Carpooling is emerging as a more appealing "sharing economy” form with promising benefits in reducing carbon emissions, traveling costs, and traffic congestion. However, a thorough understanding of carpooling adoption is lacking for policymakers and transport planners in developing countries due to limited scientific research, specifically in Southeast Asia. Therefore, the present study aimed to understand the behavioral influences of carpool adoption in Thailand by conducting a multivariate analysis on a dataset of 307 observations gathered at Thammasat University, Pathum Thani, Thailand. First, a conceptual model was developed to assess the influence of effort expectancy, perceived safety, hedonic motivation, and social influence on carpool behavior intention. Additionally, two constructs related to COVID-19 and time credits were added to assess their impacts. Then, the sample data were analyzed using Structural Equation Modelling (SEM). It was found that hedonic motivation, social influence, and time credits as payment method factors play statistically significant direct roles in the carpool behavior intention, whereas effort expectancy, perceived safety, and perception towards compliance with COVID-19 guidelines for carpooling did not. However, significant indirect impacts of effort expectancy and social influence through hedonic motivation were discovered. Upon analysis of the findings, policy implications are presented. © 2023 World Conference on Transport Research Society