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13 Research products, page 1 of 2

  • COVID-19
  • Research data
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  • 2013-2022
  • Open Access
  • AR
  • English

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  • Open Access English
    Authors: 
    Rodríguez, Mariela E.; Boixader, Francesc; Wong, Alvaro; Rexachs del Rosario, Dolores; Luque, Emilio;
    Country: Argentina

    Simulation, in health services, has become an important tool that has made it possible to replicate real scenarios that have a critical degree and thus have reliable information to obtain knowledge about the variables managed in an emergency. In the activity of a Hospital Emergency Service (HED), we can find active agents such as doctors, nurses, patients and passive ones such as medical rooms, beds, among others, interacting between them. HEDs have been overwhelmed by catastrophic events, such as those induced by COVID 19, in the last two years. In these situations, the availability of resources, due to the considerable reduction in health personnel and the excessive arrival of patients for care, implies that the emergency service has become inoperative. The recovery of this essential service is fundamental and a priority. For this reason, it is necessary to analyze the period of time for departments, after a catastrophe, to reach a stable state that allows them to adapt to the new workload, that is, to analyze how resilient the ED is. The present work shows the proposal of a research project for the modeling and simulation of an ED that supports the design and evaluation of a resilient service considering the infrastructures, resources and services that occur in an ED. The model must consider the organization and infrastructure capacity to support and recover from extreme situations, in order to provide and maintain its operation and services in an adequate manner. To achieve this objective, the normal service index and the ability to resist, restore and evolve in the face of future risks and threats will be measured. The design of the model will be integrated and participatory, and it will focus on people and communities, governed by the principles of sustainable development goals regarding Health and Wellbeing, Gender Equality, Industry, Innovation and Infrastructure. Instituto de Investigación en Informática

  • Open Access English
    Authors: 
    Costoya, Victoria; Echeverría, Lucía; Edo, María; Rocha, Ana; Thailinger, Agustina;
    Country: Argentina

    Supporting data of the article Gender gaps within couples: Evidence of time re-allocations during COVID-19 in Argentina. Journal of Family and Economic Issues. Data analysis was carried out using the statistical software STATA. Fil: Costoya, Victoria. Universidad de San Andrés. CEDH; Argentina. Fil: Echeverría, Lucía. Universidad Nacional de Mar del Plata. Facultad de Ciencias Económicas y Sociales; Argentina. Fil: Edo, María. Universidad de San Andrés. CEDH; Argentina. Fil: Rocha, Ana. Universidad de San Andrés. CEDH; Argentina. Fil: Thailinger, Agustina. Universidad de San Andrés. CEDH; Argentina.

  • Open Access English
    Authors: 
    López Steinmetz, Lorena Cecilia;
    Country: Argentina

    This study is part of a broader research assessing mental health state indicators in a sample of the Argentinean general population during the lengthy Argentinean quarantine. This study has two main aims: 1) to analyze differences in specific mental health state (MHS) indicators (depression, state-anxiety, trait-anxiety, and suicidal risk), during three quarantine sub-periods (starting since the first quarantine extension); 2) to assess multiple relationships between each specific MHS indicator and potentially affecting factors. Este estudio forma parte de una investigación más amplia que evalúa los indicadores del estado de salud mental en una muestra de la población general argentina durante la larga cuarentena argentina. Este estudio tiene dos objetivos principales 1) analizar las diferencias en indicadores específicos del estado de salud mental (depresión, ansiedad-estado, ansiedad-rasgo y riesgo suicida), durante tres subperíodos de cuarentena (a partir de la primera extensión de la cuarentena); 2) evaluar las múltiples relaciones entre cada indicador específico del estado de salud mental y los factores que potencialmente lo afectan. Fil: López Steinmetz, Lorena Cecilia. Universidad Nacional de Córdoba. Facultad de Psicología; Argentina. Fil: López Steinmetz, Lorena Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Psicológicas; Argentina.

  • Open Access English
    Authors: 
    López Steinmetz, Lorena Cecilia;
    Country: Argentina

    This study is part of a broader longitudinal research which analyzes the mental health state of college students during the lengthy Argentina’s quarantine. The aims of this part of the study are two-fold: 1) to analyze differences in mental health state (MHS) both generally (i.e., in terms of psychological well-being/discomfort, social functioning and coping, and psychological distress) and specifically (i.e., in terms of depression, trait-anxiety, negative alcohol-related consequences, and suicidal risk), in college students, residing in provinces from four different regions (north, center, south, and the most populated) of Argentina exposed to different spread-rates of the COVID-19; 2) to analyze between-group differences in both general and specific MHS indicators during four quarantine sub-periods (twice prior, and twice following the first quarantine extension). Este estudio forma parte de una investigación longitudinal más amplia que analiza el estado de salud mental de los estudiantes universitarios durante la larga cuarentena de Argentina. Los objetivos de esta parte del estudio son dos: 1) analizar las diferencias en el estado de salud mental (SSM) tanto de forma general (es decir, en términos de bienestar/malestar psicológico, funcionamiento social y afrontamiento, y malestar psicológico) como de forma específica (es decir, en términos de depresión, ansiedad rasgo, consecuencias negativas relacionadas con el alcohol y riesgo de suicidio), en estudiantes universitarios, residentes en provincias de cuatro regiones diferentes (norte, centro, sur y la más poblada) de Argentina expuestos a diferentes tasas de propagación del COVID-19; 2) analizar las diferencias entre grupos en los indicadores de salud mental tanto generales como específicos durante cuatro subperíodos de cuarentena (dos veces antes y dos veces después de la primera extensión de la cuarentena). Fil: López Steinmetz, Lorena Cecilia. Universidad Nacional de Córdoba. Facultad de Psicología; Argentina. Fil: López Steinmetz, Lorena Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Psicológicas; Argentina.

  • Open Access English
    Authors: 
    López Steinmetz, Lorena Cecilia;
    Country: Argentina

    This study is part of a broader longitudinal study, with two-repeated measures, in which we assessed several mental health-related variables. In this study we are aimed at examine the within-person changes in the mental health state of college students with and without mental disorder background, during successive time cuts of the Argentina’s lengthy mandatory quarantine, while adjusting for quarantine duration, main demographic factors (sex and age), and additional factors such as suicidal behavior history, loneliness, and region of residence. Este estudio forma parte de un estudio longitudinal más amplio, con dos medidas repetidas, en el que evaluamos diversas variables relacionadas con la salud mental. En este estudio nos proponemos examinar los cambios intrapersonales en el estado de salud mental de estudiantes universitarios con y sin antecedentes de trastornos mentales, durante los sucesivos cortes temporales de la prolongada cuarentena obligatoria de Argentina, ajustando al mismo tiempo por la duración de la cuarentena, los principales factores demográficos (sexo y edad), y factores adicionales como los antecedentes de conducta suicida, la soledad y la región de residencia. Fil: López Steinmetz, Lorena Cecilia. Universidad Nacional de Córdoba. Facultad de Psicología; Argentina. Fil: López Steinmetz, Lorena Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Psicológicas; Argentina.

  • Open Access English
    Authors: 
    López Steinmetz, Lorena Cecilia;
    Country: Argentina

    We based this study on Argentinean healthcare workers in order to 1) test self-perceived job performance levels and the presence of psychological symptoms compatible with common mental disorders, and 2) examine within-person changes in the levels of general discomfort and psychological distress, adjusting for main demographic factors, region, and some relevant health-related factors, during two time points of the COVID-19 pandemic. Este estudio se basó en trabajadores sanitarios argentinos para 1) comprobar los niveles de rendimiento laboral autopercibidos y la presencia de síntomas psicológicos compatibles con trastornos mentales comunes, y 2) examinar los cambios intrapersonales en los niveles de malestar general y malestar psicológico, ajustando por los principales factores demográficos, la región y algunos factores relevantes relacionados con la salud, durante dos momentos de la pandemia de COVID-19. Fil: López Steinmetz, Lorena Cecilia. Universidad Nacional de Córdoba. Facultad de Psicología; Argentina. Fil: López Steinmetz, Lorena Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Psicológicas; Argentina.

  • Open Access English
    Authors: 
    Perdomo, Luciano; Ordinez, Leonardo;
    Country: Argentina

    In Argentina there was a great growth of e-commerce due to the COVID-19 pandemic. With the aim of helping local companies to understand the market and help them in decision making, data were obtained from online shoe sales sites and with them Machine Learning models were implemented to make price predictions in sneakers. It was concluded that higher-tier companies have greater competitive advantage over lower-tier companies. Nonetheless, the cost-effective methodology used would aid local companies scale up. Workshop: WBDMD - Base de Datos y Minería de Datos Red de Universidades con Carreras en Informática

  • Open Access English
    Authors: 
    Alvarado, Yoselie; Rodríguez, Graciela; Jofré, Nicolás; Fernández, Jacqueline; Guerrero, Roberto A.;
    Country: Argentina

    Some time ago Virtual Reality and Augmented Reality were exclusively devoted to the gaming industry. Nowadays, both technologies are experiencing a deep interest from various spheres, including healthcare sector. The new infectious disease COVID-19 has had a catastrophic effect on the world’s demographics. Many patients with mild or severe COVID- 19 do not recover completely and present with a wide variety of chronic symptoms after infection, often of a neurological, cognitive or psychiatric nature. The most common signs of cognitive disorder can be summarized as mental fog, memory problems and concentration problems. The aim of this study was to analyze the opportunities for Virtual and Augmented Reality in the cognitive interventions related to mentioned disorders by searching for articles in scientific databases. We conclude that as these technologies and devices become cheaper and accessible worldwide, can at least be regarded as a rehabilitation therapy as effective as traditional training, and to some extent better than it. Workshop: WCGIV - Computación Gráfica, Imágenes y Visualización Red de Universidades con Carreras en Informática

  • Open Access English
    Authors: 
    Bellassai, Juan C.; Madoery, Pablo G.; Detke, Ramiro; Blanco, Lucas; Comerci, Sandro; Marattin, María S.; Fraire, Juan; González Montoro, Aldana; Britos,Grisel; Ojeda, Silvia; +1 more
    Country: Argentina

    In the context of COVID-19, contact tracing has shown its value as a tool for contention of the pandemic. In addition to its paper based form, contact tracing can be carried out in a more scalable and faster way by using digital apps. Mobile phones can record digital signals emitted by communication and sensing technologies, enabling the identification of risky contacts between users. Factors such as proximity, encounter duration, environment, ventilation, and the use (or not) of protective measures contribute to the probability of contagion. Estimation of these factors from the data collected by phones remains a challenge. In this work in progress we describe some of the challenges of digital contact tracing, the type of data that can be collected with mobile phones and focus particularly on the problem of proximity estimation using Bluetooth Low Energy (BLE) signals. Specifically, we use machine learning models fed with different combinations of statistical features derived from the BLE signal and study how improvements in accuracy can be obtained with respect to reference models currently in use. Sociedad Argentina de Informática e Investigación Operativa

  • Open Access English
    Authors: 
    Toledo Margalef, Pablo; Balcazar, Emanuel; Ordinez, Leonardo; Delrieux, Claudio; Allende, Lucila;
    Country: Argentina

    The present work exposes preliminary results on utilizing web scraping and data mining techniques to analyze news articles published during the COVID-19 pandemic in the Chubut province. Analysis of extracted articles was made using Latent Dirichlet Allocation obtaining promising results. Facultad de Informática