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1.
The American Journal of the Medical Sciences ; 365:S319-S320, 2023.
Article in English | ScienceDirect | ID: covidwho-2211725
2.
International Journal of Advanced Computer Science and Applications ; 13(11):257-263, 2022.
Article in English | Scopus | ID: covidwho-2203973

ABSTRACT

Artificial neural networks are mathematical models of artificial intelligence that intend to reproduce the behavior of the human brain and whose main objective is the construction of systems that are capable of demonstrating certain intelligent behavior. The purpose of the investigation is to determine the influence of the use of Information and Communication Technologies (ICTs) in the digital culture in the learning process of university students in Peru and Bolivia in the context of the Coronavirus – COVID 19 sanitary emergency, through the application of artificial neural network models. The investigation has a quantitative focus, the applied type, with a correlational level and a non-experimental design. Data was recollected by means of a digital questionnaire, applied to students of two universities. The population is composed of 3980 students of the Universidad Privada Domingo Savio (UPDS, Tarija, Bolivia) and 1506 of the Universidad Nacional de Moquegua (UNAM, Moquegua, Peru). The sample consists of 496 students. The hypothetical-deductive and the artificial intelligence methods were used. It was determined that the ability to install software and data protection programs, the use of mobile devices for academic purposes and the command of specialized software are the most influential factors in the digital culture of the students at UNAM and UPDS. © 2022, International Journal of Advanced Computer Science and Applications. All Rights Reserved.

3.
Frontiers in Pediatrics ; 10, 2022.
Article in English | Web of Science | ID: covidwho-2199081

ABSTRACT

The COVID-19 pandemic represents a valuable opportunity to carry out cohort studies that allow us to advance our knowledge on pathophysiological mechanisms of neuropsychiatric diseases. One of these opportunities is the study of the relationships between inflammation, brain development and an increased risk of suffering neuropsychiatric disorders. Based on the hypothesis that neuroinflammation during early stages of life is associated with neurodevelopmental disorders and confers a greater risk of developing neuropsychiatric disorders, we propose a cohort study of SARS-CoV-2-infected pregnant women and their newborns. The main objective of SIGNATURE project is to explore how the presence of prenatal SARS-CoV-2 infection and other non-infectious stressors generates an abnormal inflammatory activity in the newborn. The cohort of women during the COVID-19 pandemic will be psychological and biological monitored during their pregnancy, delivery, childbirth and postpartum. The biological information of the umbilical cord (foetus blood) and peripheral blood from the mother will be obtained after childbirth. These samples and the clinical characterisation of the cohort of mothers and newborns, are tremendously valuable at this time. This is a protocol report and no analyses have been conducted yet, being currently at, our study is in the recruitment process step. At the time of this publication, we have identified 1,060 SARS-CoV-2 infected mothers and all have already given birth. From the total of identified mothers, we have recruited 537 SARS-COV-2 infected women and all of them have completed the mental health assessment during pregnancy. We have collected biological samples from 119 mothers and babies. Additionally, we have recruited 390 non-infected pregnant women.

4.
Frontiers in Microbiology ; 13, 2022.
Article in English | Web of Science | ID: covidwho-2199019

ABSTRACT

Elderly was the most affected population during the first COVID-19 and those living in nursing homes represented the most vulnerable group, with high mortality rates, until vaccines became available. In a previous article, we presented an open-label trial showing the beneficial effect of the strain Ligilactobacillus salivarius CECT 30632 (previously known as L. salivarius MP101) on the functional and nutritional status, and on the nasal and fecal inflammatory profiles of elderly residing in a nursing home highly affected by the pandemic. The objective of this post-hoc analysis was to elucidate if there were changes in the nasal and fecal bacteriomes of a subset of these patients as a result of the administration of the strain for 4 months and, also, its impact on their fecal fatty acids profiles. Culture-based methods showed that, while L. salivarius (species level) could not be detected in any of the fecal samples at day 0, L. salivarius CECT 30632 (strain level) was present in all the recruited people at day 120. Paradoxically, the increase in the L. salivarius counts was not reflected in changes in the metataxonomic analysis of the nasal and fecal samples or in changes in the fatty acid profiles in the fecal samples of the recruited people. Overall, our results indicate that L. salivarius CECT 30632 colonized, at least temporarily, the intestinal tract of the recruited elderly and may have contributed to improvements in their functional, nutritional, and immunological status, without changing the general structure of their nasal and fecal bacteriomes when assessed at the genus level. They also suggest the ability of low abundance bacteria to train immunity.

5.
Rev Psiquiatr Salud Ment ; 2022 Aug 24.
Article in Spanish | MEDLINE | ID: covidwho-1996537

ABSTRACT

INTRODUCTION: Health care workers (HCW) have been identified as a risk group to suffer psychological burden derived from Coronavirus Disease 19 (COVID-19) pandemic. In addition, possible gender differences in the emotional reactions derived from COVID-19 pandemic have been suggested in this population. The aims of the study were to explore the impact of COVID-19 as well as possible gender differences on mental health status and suicidality in a cohort of HCW. MATERIALS AND METHODS: One thousand four hundred and thirty-two HCW responded to an online survey including sociodemographic, clinical, and psychometric tests in May 2020 while 251 HCW answered in November 2020. Mental health status was measured by General Health Questionnaire 28 (GHQ-28) in both time periods. RESULTS: HCW informed of a worsening in somatic symptomatology over the follow up period. Gender differences were found in all GHQ-28 dimensions as well in the total score of the questionnaire. Post-hoc analyses displayed significant interaction between the time and gender in somatic and anxiety dimensions as well as in GHQ-28 total score. Stress produced by COVID-19 spreading and the feeling of being overwhelmed at work resulted the main predictors of psychological distress although each domain is characterized by a specific set of predictors. CONCLUSIONS: Somatic reactions represent the most sensitive dimension over the follow-up period. Moreover, women are characterized by a greater psychological distress at the beginning, although these differences tend to disappear over time. Finally, a complex network of factors predicted different dimensions of psychological distress, showing the complexity of prevention in high-risk populations facing major disasters.

6.
4th International Conference on Inclusive Technology and Education, CONTIE 2021 ; : 82-88, 2021.
Article in English | Scopus | ID: covidwho-1769553

ABSTRACT

The present work comprises the conceptualisation, design, development and validation of the software called 'Jiaminchií', created to support educational processes in times of COVID-19 and the recovery of the Muniche language. The Muniches are an endangered indigenous Peruvian nation located in the province of Alto Amazonas in the Loreto region. The research group proposes as educational tools the use of mobile software applications to continue with the educational service in indigenous communities, which is a complex problem in Peru, considering the limitations and conditions generated by the Covid-19 pandemic. The application has been conceptualised based on the basic contents for learning the Muniche language (review of the dictionary and other documentation), the community of Villa Muniche has been visited and the participation of one of the 3 speakers has been achieved through the generation of a sound bank based on the prioritised contents. The validation included a test group with children from indigenous communities. Two groups were formed, the first used the software and the second received the same contents using the traditional method. Among the most important results, it can be mentioned that the use of the 'Jiaminchií' application in the education of the indigenous communities of Alto Amazonas overcomes a series of limitations typical of schools in the indigenous communities of the Peruvian Amazon. © 2021 IEEE.

8.
Medicina (B Aires) ; 82(1):21-27, 2022.
Article in Spanish | PubMed | ID: covidwho-1624304

ABSTRACT

Coronavirus disease-19 has emerged as a devastating global public health crisis. An increased frequency of arterial and venous thrombosis was observed in COVID-19 infection. The objective of this study was to describe the thromboembolic complications of patients hospitalized for COVID-19 and their evolution. A prospective single-center study was conducted that compared the characteristics, risk factors, thromboembolic event rate, hospital stay and mortality among patients admitted to intensive care or general ward. The mean age of population was 46 ± 18 years, and 52% were female. The global rate of thromboembolic events was 4.4%, significantly higher in intensive unit patients (29% vs 1.4%;p < 0.001) despite the high use of prophylactic heparin (91.1% vs. 84.9%;p < 0.1). The independent predictive factors for the development of thromboembolic events were: age, D-dimer and creatinine. Of the patients admitted to intensive care, 45.1% required mechanical ventilation. Overall mortality was 4.3%, significantly higher in intensive care patients than in the general hospital ward (29% vs. 1.3%;p < 0.0001). Patients requiring hospitalization due to infection secondary to COVID-19 have a high rate of thromboembolic events despite the use of thromboprophylaxis with heparin, generating a negative prognostic impact on the survival of patients admitted to intensive care.

9.
Medicina-Buenos Aires ; 81(5):683-687, 2021.
Article in Spanish | Web of Science | ID: covidwho-1609870

ABSTRACT

The rapid spread of the SARS-CoV-2, the causative agent of the emergent pandemic disease COVID-19, requires the urgent commitment of the immunology community to understand the adaptive immune response developed by COVID-19 convalescent patients and individuals vaccinated with different strategies and schemes, with the ultimate goal of implementing and optimizing health care and prevention policies. Currently, assessment of SARS-CoV-2-specific immunity is mainly focused on the measurement of the antibody titers and analysis of their neutralizing capacity. However, a considerable proportion of individuals lack humoral responses or show a progressive decline of SARS-CoV-2-specific neutralizing antibodies. In order to study the cellular response of convalescent patients and vaccinated individuals, we have developed the 'COVID-T Platform', an optimized strategy to study SARS-CoV-2-specific T cell responses. This platform allows assessment of the nature, magnitude and persistence of antigen-specific T-cell immunity in COVID-19-convalescent patients and vaccinated individuals. Moreover, it gives the opportunity to study cellular responses against emerging coronavirus variants and to identify individuals with cross-reactive immunity against seasonal coronaviruses.

10.
"19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: """"Prospective and Trends in Technology and Skills for Sustainable Social Development"""" and """"Leveraging Emerging Technologies to Construct the Future"""", LACCEI 2021" ; 2021-July, 2021.
Article in English | Scopus | ID: covidwho-1607512

ABSTRACT

The objective was to determine the impact of socio-emotional and pedagogical factors on the academic performance of students from the UNAM professional school of Management and Social Development during the COVID 19 pandemic, based on neural networks and stepwise regression. From the 38 indicators of socio-emotional and pedagogical factors applied to 236 students, the stepwise regression model identified 7 significant indicators (pedagogical and personal problems) that impact on academic performance, the neural network model determined the importance of indicators that influence academic performance. academic performance, considering the personal problems first, followed by pedagogical and family ones. The mean square error for the stepwise regression model is 7.25 and the coefficient of determination was 0.221, for the neural network model the mean square error was 6.78, while the coefficient of determination was 0.256. According to the results of both methodologies, the students of the professional school of Management and Social Development showed pedagogical and personal problems in their academic performance during the COVID 19 pandemic. © 2021 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.

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