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2.
Anales de Psicologia ; 39(1):100-111, 2023.
Artigo em Espanhol | Scopus | ID: covidwho-2203010

RESUMO

Background: Resilience in teachers allows them to face difficult situations to recover from adversity and there are gender differences. Likewise, artificial intelligence and the techniques associated with it have proven to be very useful in predicting educational variables and studying the interconnection between them after COVID-19. That said, the general objective of this research was to predict the levels of resilience in secondary school teachers through the design of an artificial neural network (ANN). Method: The Brief Resilient Coping Scale, the Maslach Burnout Inventory and the COVID-19 Stress Questionnaire were administered to 401 secondary school teachers (70.6% female) from schools in southeastern Spain, with a mean age of 44.36 years (SD = 9.38). Results: Differences were found in the configuration of the predictive models of resilience between male and female teachers, with the independent variables contrib-uting to different degrees depending on gender. Conclusions: It is highlighted the usefulness of ANNs in the educational setting and the need to design more adjusted programs. © 2023: Editum. Universidad de Murcia (Spain).

4.
Puerto Rico Health Sciences Journal ; 41(4):197-201, 2022.
Artigo em Inglês | MEDLINE | ID: covidwho-2156505

RESUMO

OBJECTIVE: The main objective was to present the experience of the Institute of Forensic Sciences of Puerto Rico in facing the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19. It has been found that some COVID-19 positive cases may continue to show post-mortem positive results for up to 49 days.

5.
Revista Iberoamericana de Tecnologias del Aprendizaje ; : 1-1, 2022.
Artigo em Inglês | Scopus | ID: covidwho-2136471

RESUMO

COVID-19 has affected education worldwide, in Mexico. In this study, the impact of the extraordinary online modality because of the pandemic on the accreditation of courses for engineering students was evaluated, of the 64 students officially registered in three courses of microbiology, only 90% registered on the Moodle platform to take the online course, 71% of the dynamics were delivered, 67% of the final project and 80% of the delivery of the team’s activities were not reached, there was an approval of 54%. Some problems were that videoconferences were not attended and assignments were not turned in. IEEE

6.
International Journal of Learning, Teaching and Educational Research ; 21(9):35-51, 2022.
Artigo em Inglês | Scopus | ID: covidwho-2146267

RESUMO

The Covid-19 pandemic in Chile was declared as such in March 2020. As a result, the Ministry of Education compiled guidelines to provide continuity to the formative processes, through which the concept of remote learning emerged. This research paper aims at identifying academic satisfaction of pedagogy students in a higher education institution (HEI) regarding learning in the virtual mode in the pandemic context. A quantitative, non-experimental, cross-sectional methodology was used. The sample consisted of 337 students in 6 pedagogical courses at an HEI in the Araucanía region to whom a questionnaire on satisfaction with virtual teaching was administered. Results indicated that student satisfaction was low regarding the way content was handled and evaluation mechanisms used in the virtual mode. However, high satisfaction was shown in the items corresponding to teacher-student interaction. In addition, we found no statistically significant differences in the items related to the fulfillment of expectations and learning achieved in the virtual mode, either by gender, level of study, program, or academic performance. Finally, there was high dissatisfaction with virtual teaching during the present academic cycle. We recommend the systematic evaluation of the indicators of educational quality, mainly linked to the treatment of the content, the evaluation mechanisms used, and the teacher-student interaction channels, since they improve the academic performance of HEIs. © Authors.

9.
17th European Conference on Technology Enhanced Learning, EC-TEL 2022 ; 13450 LNCS:492-499, 2022.
Artigo em Inglês | Scopus | ID: covidwho-2048157

RESUMO

Many researchers consider that blended or hybrid learning implies a meaningful combination of online and face-to-face activities. Before the COVID-19 pandemic, studies had shown promising results of blended learning to improve student performance. However, the design and implementation of effective combinations is far from trivial, considering students’ differences regarding their demographics and self-regulatory capacities. This paper presents a survey study developed in an Engineering school of a Latin American university that transitioned from online learning to a hybrid format in mid-2021. Quantitative data was collected throughout an online questionnaire applied to a convenience sample of 1,124 students. Subgroup differences were identified by means of exploratory factor analysis and clustering. Two different subgroups emerged from the data: those who prefer online learning and those who prefer face-to-face activities. This difference is particularly observed in students from different cohorts and regions of origin: students who are closer to graduation preferred online activities, as well as students who come from regions outside the campus location. Students’ preferences varied regarding feedback delivery and collaboration with peers, which are usually synchronous activities. Further implications are discussed to inform instructional design of blended and hybrid approaches beyond COVID-19. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

10.
Emergencias ; 34(5):361-368, 2022.
Artigo em Espanhol | Scopus | ID: covidwho-2044827

RESUMO

Objective. To characterize phenotypes of prehospital patients with COVID-19 to facilitate early identification of at-risk groups. Methods. Multicenter observational noninterventional study of a retrospective cohort of 3789 patients, analyzing 52 prehospital variables. The main outcomes were 4 clusters of prehospital variables describing the phenotypes. Secondary outcomes were hospitalization, mechanical ventilation, admission to an intensive care unit, and cumulative mortality inside or outside the hospital on days 1, 2, 3, 7, 14, 21, and 28 after hospitalization and after start of prehospital care. Results. We used a principal components multiple correspondence analysis (factor analysis) followed by decomposition into 4 clusters as follows: cluster 1, 1090 patients (28.7%);cluster 2, 1420 (37.4%);cluster 3, 250 (6.6%), and cluster 4, 1029 (27.1%). Cluster 4 was comprised of the oldest patients and had the highest frequencies of residence in group facilities and low arterial oxygen saturation. This group also had the highest mortality (44.8% at 28 days). Cluster 1 was comprised of the youngest patients and had the highest frequencies of smoking, fever, and requirement for mechanical ventilation. This group had the most favorable prognosis and the lowest mortality. Conclusions. Patients with COVID-19 evaluated by emergency medical responders and transferred to hospital emergency departments can be classified into 4 phenotypes with different clinical, therapeutic, and prognostic characteristics. The phenotypes can help health care professionals to quickly assess a patient’s future risk, thus informing clinical decisions. © 2022, Saned. All rights reserved.

11.
Lessons from COVID-19: Impact on Healthcare Systems and Technology ; : 263-287, 2022.
Artigo em Inglês | Scopus | ID: covidwho-2027812

RESUMO

Machine learning (ML) and artificial intelligence (AI) approaches are prominent and well established in the field of health-care informatics. Because they have a more productive ability to predict, they are successfully applied in several health-care applications. ML approaches are needed thanks to the unsatisfactory experience of the novel virus, considerable ambiguity, complicated social circumstances, and inadequate accessible data. Several approaches have been applied as a tool to combat and protect against the new diseases. The COVID-19 outbreak has rapid growth, so it is not easy to predict the patients and resources within a specified time. ML is a strong approach in the fighting against the pandemic such as COVID-19. It is found significant to predict the susceptible, infected, recovered, or exposed persons and can assist the control strategies to block the spread of infections. This study critically examines the appropriateness and contribution of AI/ML methods on COVID-19 datasets, enhancing the understanding to apply these methods for quick analysis and verification of pandemic databases. © 2022 Elsevier Inc. All rights reserved.

12.
Annals of the Rheumatic Diseases ; 81:1091, 2022.
Artigo em Inglês | EMBASE | ID: covidwho-2009181

RESUMO

Background: Many measurement tools are designed to assess disease activity for Rheumatoid Arthritis (RA) patients. One of the most used tools is the Disease Activity Score-DAS28 which assesses the number of painful joints, erythrocyte sedimentation, and a patient's global assessment. The assessment is performed by a clinician and requires laboratory exams. Unfortunately, from March to August 2019, Colombia had one of the strictest responses to the COVID-19 pandemic according to the COVID-19 stringency Index(1). One of the main restrictions was the preventive isolation of older populations, especially those with comorbidities. These restrictions challenged the rheumatology practice because face-to-face consultations were not possible. Due to the above, measurements like the PAS-II score should be used to assess disease activity during the pandemic. Objectives: To describe disease activity according to the Patient Activity Score-PAS-II score patients with RA and compare its results to the most recent DAS28 assessment before the COVID-19 pandemic. Methods: We conducted a descriptive study;patients were followed during the COVID-19-lockdown in a video consultation. The PAS-II score was applied to assess disease activity as an alternative to the DAS28 assessment. The patients were part of an educational program, clinical charts were reviewed to collect the study variables. We collected demographic data and DAS28 before the pandemic started. We present a descriptive analysis of DAS28 severity and the results obtained by the PASS-II score. Results: The educational program enrolled 250 participants;196 patients had complete data. 93% of participants were women, mean age was 64 years IQR (54-67). 43% of participants were married or had a civil union, 26% were single, 20% divorced, and 11% were widowed. Regarding educational level, 25% had fnished elementary school and 39% high school;the remaining 36% had higher education. When we compared the last DAS28 assessed by a rheumatologist between January, and March 2019, 67% of patients were in remission, while in July 2019, the PASS-II score reported that 7% of patients were in remission and 75% had low or minimal activity. Figure 1-Table 1. Conclusion: The PASS score is a helpful tool to assess disease activity in patients with RA, especially in situations where the patient cannot see a rheumatologist in a face-to-face consultation;however, patients in severe disease activity should not delay the consultation with a clinician. As other studies have demonstrated, patient-reported outcome measures should be adopted in clinical practice as an alternative for treat-to-targe strategies(2). Further studies should be conducted to assess the impact of the pandemic in countries with high levels of restrictions in the course of RA.

13.
Annals of the Rheumatic Diseases ; 81:1668-1669, 2022.
Artigo em Inglês | EMBASE | ID: covidwho-2008860

RESUMO

Background: Persistent symptoms after acute COVID have been described previously. Main symptoms reported are fatigue, arthralgias, myalgias and mental sickness. Defnition and methods vary widely.1 Objectives: To asses prevalence and related factors to long COVID in a retrospective cohort of patients with rheumatic diseases from Argentina. Methods: A total of 1915 patients were registered from August 18th, 2020 to July 29th, 2021. Patients > 18 years old, with rheumatic disease and confrmed infection by SARS-CoV-2 (antigen or RT-PCR) were included. Those dead, with unknown outcome, wrong date or missing data were excluded. Demographic data, comorbidities, rheumatic disease, and characteristics of SARS-CoV-2 infection were recorded. Long COVID was defned according to NICE guidelines (persistent symptoms for more than 4 weeks, without alternative diagnosis). Long COVID symptoms were defned by rheumatologist. Severity of infection was clas-sifed according to WHO ordinal scale. We used descriptive statistics, univariate model (Student's test, chi square test, ANOVA) and multivariate logistic regression analysis. Results: 230 (12%) had long COVID. Median age was 51 (IQR 40-61]) years, 82% were females, 51% were not caucasian. Median of education was 13.3 years (IQR 12-16), 79 % had private health insurance and 55 % were employed. Nearly half (n=762, 46%) had comorbidities, the most prevalent was hypertension (n=396, 24%). The most frequent rheumatic diseases were rheumatoid arthritis (n=719, 42%) and systemic lupus ery-thematosus (n=280, 16 %). Most were in low activity/remission (79%), used Conventional DMARD (n=773 patients, 45%) and steroids (n=588, 34%) at low dose (n=415, 71%). Main laboratory findings were abnormal D-di-mer (n=94, 28%) and leukopenia (n=93, 26%). Most patients had a WHO ordinal scale < 5 (n=1472, 86%). Median of hospitalization at intensive care unit (ICU) was 8 days [IQR 5, 13]. Treatment for SARS-CoV-2 infection (steroids, anticoagulation, azithromycin, convalescent plasma) was used in 461 (27%) patients. Most of long COVID (n= 152, 69%) reported 1 symptom, the most frequent was fatigue (n= 55, 22%). Figure 1. Univariate analysis is presented in Table 1. In multivariate logistic regression analysis non-caucasian ethnicity OR 1.44 (1.07-1.95), years of education OR 1.05 (1-1.09), treatment with cyclophosphamide OR 11.35 (1.56-112.97), symptoms of COVID-19 OR 13.26 (2.75-242.08), severity scale WHO ≥ 5 OR 2.46 (1.68-3.57), and ICU hospitalization days OR 1.09 (1.05-1.14) were factors associated to long COVID. Conclusion: Prevalence of long COVID was 12%. Non-caucasian ethnicity, higher education, treatment with cyclophosphamide, symptoms of COVID-19, severe disease and ICU hospitalization days were related to long COVID.

14.
Annals of the Rheumatic Diseases ; 81:927-928, 2022.
Artigo em Inglês | EMBASE | ID: covidwho-2008837

RESUMO

Background: Comorbidities, particularly cardio-metabolic disorders, are highly prevalent in patients with psoriatic arthritis (PsA) and they were associated with an increased risk of atherosclerotic cardiovascular disease, which have been associated with higher morbidity and mortality. Whether PsA enhances the risk of SARS-CoV-2 infection or affects the disease outcome remains to be ascertained. Objectives: To describe the sociodemographic, clinical and treatment characteristics of patients with PsA with confrmed SARS-CoV-2 infection from the SAR-COVID registry and to identify the variables associated with poor COVID-19 outcomes, comparing them with those with rheumatoid arthritis (RA). Methods: Cross-sectional observational study including patients ≥18 years old, with diagnosis of PsA (CASPAR criteria) and RA (ACR/EULAR 2010 criteria), who had confrmed SARS-CoV-2 infection (RT-PCR or serology) from the SAR-COVID registry. Recruitment period was between August 13, 2020 and July 31, 2021. Sociodemographic variables, comorbidities, and treatments were analyzed. To assess the severity of the infection, the ordinal scale of the National Institute of Allergy and Infectious Diseases (NIAID)1 was used, and it was considered that a patient met the primary outcome, if they presented criteria of categories 5 or higher on the severity scale. For this analysis, Chi2 test, Fisher's test, Student's test or Wilcoxon test, and binomial logistic regression using NIAID>=5 as dependent variable were performed. Results: A total of 129 PsA patients and 808 with RA were included. Clinical characteristics are shown in Table 1. Regarding PsA treatment, 12.4% of PsA were receiving IL-17 inhibitors, 5.4% IL12-23 inhibitors, one patient apremilast and one abatacept. The frequency of NIAID≥5 was comparable between groups (PsA 19.5% vs RA 20.1%;p=0.976). (Figure 1). PsA patients with NIAID≥5 in comparison with NIAID<5 were older (58.6±11.4 vs 50±12.5;p=0.002), had more frequently hypertension (52.2% vs 23%;p=0.011) and dyslipidemia (39.1% vs 15%;p=0.017). In the multivariate analysis, age (OR 1.06;95% CI 1.02-1.11) was associated with a worse outcome of the COVID-19 (NIAID≥5) in patients with PsA, while those who received methotrexate (OR 0.34;95% CI 0.11-0.92) and biological DMARDs (OR 0.28;95% CI 0.09-0.78) had a better outcome. Conclusion: Although PsA patients have a higher frequency of cardiovascular and metabolic comorbidities than those with RA, the COVID-19 severity was similar. Most of the patients had mild SARS-CoV-2 infection and a low death rate.

15.
Cirugia Cardiovascular ; 29(4):258, 2022.
Artigo em Espanhol | Es | ID: covidwho-2003932

RESUMO

Introducción: La pandemia COVID-19 ha podido tener influencia en la incidencia de endocarditis infecciosa nosocomial (EIN). Objetivos: Describir la incidencia, características y evolución de la EIN durante la pandemia COVID-19. Material y métodos: Estudio retrospectivo unicéntrico incluyendo las EIN definidas, según los criterios de Duke, desde marzo 2020 hasta marzo 2021. Se dividieron a los pacientes en ingreso por COVID-19 (grupo COVID) o por otros motivos (grupo no COVID). Se comparó la incidencia de EIN con el mismo periodo de 2019-2020. Resultados: Durante el periodo de estudio se diagnosticaron 22 EIN, 7 (31,8%) en COVID, 15 (68,2%) en no COVID. La incidencia fue 9,7 casos/10.000 ingresos (22/22.596). La incidencia en el mismo periodo 2019-2020 fue 4,6/10.000 (10/21.668), siendo la diferencia significativa (OR 1,91, IC95% 1,03-3,96, p = 0,038). Durante el periodo 2020-2021, la incidencia de EIN en COVID fue 24,6/10.000 (7/2.846) frente a 7,5/10.000 (15/19.750) en no COVID, siendo la diferencia significativa (OR 3,23 IC95% 1,32-7,95, p < 0,001). La mediana de edad fue 75 años (RIQ 68-80), siendo varones 68,2%. La mediana de Índice de Charlson fue 5 (RIQ 4-6). Un 36,4% presentaban válvula protésica, mientras un 22,7% valvulopatías significativa no protésica. Los pacientes COVID habían recibido más frecuentemente inmunosupresores (71,4% vs. 13,3%, p = 0,014), sin otras diferencias entre grupos. El foco primario fue considerado vascular en 86,4% (19/22;10 por vía periférica (VP), 5 por catéter venoso central (CVC), 4 no se pudo diferenciar origen entre VP o CVC). 3 pacientes presentaron foco no vascular (1 genitourinario, 2 gastrointestinal). No hubo diferencias entre grupos. Las manifestaciones fueron: fiebre 95,5%;insuficiencia cardiaca 68,2%;embolismos 45,5%;ictus 40,9%;insuficiencia renal 40,9%;bacteriemia persistente 38,1%;y shock séptico 14,3%. Los pacientes no COVID presentaron con más frecuencia clínica subaguda (0 vs. 46,7%, p = 0,042), sin otras diferencias estadísticamente significativas. La etiología fue: estafilococos coagulasa negativo 6 (27,3%);Enterococcus faecalis 6 (27,3%);Staphylococcus aureus 4 (18,2%);Candida albicans 3 (13,6%). En 3 casos no hubo aislamiento microbiológico (13.6%). No hubo diferencias entre grupos. La mortalidad a 30 días fue 45,5%, siendo la EIN o sus complicaciones la causa en todos los casos salvo 1 (no COVID). No hubo diferencias de mortalidad entre grupos (28,6% vs. 53,3%, p = 0,381). Conclusiones: La incidencia de EIN ha aumentado durante la pandemia, especialmente en pacientes ingresados por COVID-19. El foco primario de las EIN fue predominantemente vascular. Afectaron frecuentemente a pacientes con comorbilidad y patología valvular previa. Las manifestaciones, etiología y evolución fueron similares en COVID y no COVID, destacando una elevada frecuencia de eventos embólicos, especialmente ictus. Las EIN asocian elevada morbimortalidad y es importante extremar las medidas de prevención.

16.
Gaceta Medica de Caracas ; 130:S459-S469, 2022.
Artigo em Inglês | Scopus | ID: covidwho-1995013

RESUMO

Introduction: Unlike many Latin American countries, Venezuela has not had an official record of COVID-19 vaccine doses administered during the pandemic. This paper is the first report on COVID-19 vaccination coverage using household sample surveys. M ethods: The paper systematizes preliminary reports with results of questions included in national surveys conducted in Venezuela in June, August, September, November, and December 2021, to estimate COVID-19 vaccination coverage. All surveys were conducted in population centers of 1 000 and more inhabitants. In each survey, 1 200 persons aged 18 years and older were interviewed in their homes. Results: Full coverage (two doses of COVID-19 vaccine) increased from 8.1 % of the total population in August to 50 % in the 18 years and older age group in December 2021. The age group with consistently higher coverage is 50 years and older. At the end of 2021, the full coverage of this population group was 72.3 %. Full coverage is higher in the Metropolitan District of Caracas (MDC). Refusal to vaccinate, within the unvaccinated population, decreased from 25 % in August to 9.6 % in November 2021. The most frequent reason for not wanting to be vaccinated is distrust of the vaccine (34.1 %). The Sinopharm and Sinovac vaccines (together) were the most frequently administered (72.7 %). Discussion: Venezuela has registered vaccination coverage against COVID-19, which places it among the lowest-performing countries in the region. Complete vaccination coverage against COVID-19 had not exceeded 50 % of the population aged 18 years and older by the end of 2021. Conclusions: The failure in Venezuela to develop a high-performing COVID-19 vaccination program has conditioned both the management of the pandemic and the weighing of its effects. © 2022 Academia Nacional de Medicina. All rights reserved.

18.
17th Iberian Conference on Information Systems and Technologies, CISTI 2022 ; 2022-June, 2022.
Artigo em Espanhol | Scopus | ID: covidwho-1975675

RESUMO

The COVID-19 pandemic caused a digital transformation for educational institutions, causing many of them, including music conservatories, to not have the same teaching effectiveness as before. This article analyses the learning of musical content through a before and after comparison of the implementation of an intelligent tutoring system in the preparatory programme Formación Básica I at the Carlos Valderrama Conservatory in Trujillo-Peru;the type of research was applied, pre-experimental, also, a survey was used as a tool for data collection, which was validated by expert judgement. In order to create the intelligent tutoring system, the Mobile-D methodology was used, which has the following phases: Exploration, Initialisation, Production, Stabilisation and Testing, in addition, software development tools were used such as: Ionic, Angular, HTML and CSS, as well as Dialogflow and Kommunicate services, finally, the Model View Controller (MVC) software architecture pattern was used. © 2022 IEEE Computer Society. All rights reserved.

20.
Revista de Obstetricia y Ginecologia de Venezuela ; 82(2):179-188, 2022.
Artigo em Espanhol | Scopus | ID: covidwho-1876636

RESUMO

Objective: To evaluate the outpatient activities of high obstetric risk during the COVID-19 pandemic. Methods: Retrospective, descriptive review of epidemiological, clinical/paraclinical factors and treatment of 102 medical records from the High Obstetric Risk clinic of the Jesus Maria Casal Ramos Araure/Acarigua University Hospital from March 11, 2020 to March 11, 2021. Results: In the year, 346 controls were carried out, 244 successive controls, 23% adolescents, 19% elderly and 58% of reproductive age;77% with some degree of formal education;57% of the municipality of Araure, the most common reason for referral in 25% want not to reproduce and 23% in previous cesarean sections;high blood pressure was the most frequent family and personal history and comorbidity;64% had a lower average gain of 6 Kgs;52% of patients were anemic on their exams, requiring iron supplements or transfusions;betamethasone was the most widely used inducer of lung maturation and amoxicillin/clavulanic antibiotic. 2 patients positive for human immunodeficiency virus, 1 primary syphilis and 2 COVID-19 were monitored and treated on an outpatient basis: 1 mild in the 1st trimester and 1 moderate in the 3rd trimester. There were no maternal deaths in the sample. Conclusion: The high obstetric risk consultation is the most effective form of articulation between the surrogate, the health services and the community that guarantees a healthy pregnancy, the place to give birth, as well as a dignified and respected treatment throughout the process. © 2022 Sociedad de Obstetricia y Ginecologia de Venezuela. All rights reserved.

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