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The following results are related to COVID-19. Are you interested to view more results? Visit OpenAIRE - Explore.
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61 research outcomes, page 1 of 7
  • publication . Research . 2021
    Open Access Spanish; Castilian
    Authors:
    Universidad, Don Bosco;

    La Universidad Don Bosco con la finalidad de asegurar la sostenibilidad del proceso formativo de los estudiantes, así como de reducir riesgos en las actividades académicas en espacios de laboratorio, presenta el Protocolo de Bioseguridad para Prácticas de Laboratorio. E...

  • publication . Research . 2021
    Open Access Spanish; Castilian
    Authors:
    Universidad, Don Bosco;
    Publisher: Editorial Universidad Don Bosco

    La Universidad Don Bosco hemos definido el presente Protocolo Institucional de Bioseguridad, el cual, concentra los lineamientos generales de prevención y seguridad que todos los miembros de la Comunidad Educativa debemos asumir como respuesta a la emergencia originada ...

  • publication . Article . 2021
    Open Access Spanish; Castilian
    Authors:
    Orellana, Carlos Iván; Orellana, Ligia María;
    Publisher: Editorial Universidad Don Bosco

    Los síntomas emocionales son altamente prevalentes en El Salvador y se requieren escalas apropiadas para su medición. En este artículo se exponen las propiedades psicométricas de la escala abreviada de Depresión, Ansiedad y Estrés (DASS-21) a partir de una muestra de ad...

  • publication . Article . 2021
    Open Access Spanish; Castilian
    Authors:
    Lara Palma, Ramón Obdulio;
    Publisher: Editorial Universidad Don Bosco

    Afrontar cristianamente la realidad crítica que impone el fenómeno de la pandemia de la Covid, exige encontrar las claves de interpretación para intervenir en esa realidad de manera eficaz. La pandemia, como toda crisis, puede ser una gran oportunidad. El autor propone ...

  • publication . Preprint . 2020
    Open Access English
    Authors:
    Cheng, Cheng; Zhou, Helen; Weiss, Jeremy C.; Lipton, Zachary C.;

    Since the COVID-19 pandemic first reached the United States, the case fatality rate has fallen precipitously. Several possible explanations have been floated, including greater detection of mild cases due to expanded testing, shifts in age distribution among the infecte...

  • publication . Preprint . 2020
    Open Access English
    Authors:
    Coston, Amanda; Guha, Neel; Ouyang, Derek; Lu, Lisa; Chouldechova, Alexandra; Ho, Daniel E.;
    Project: NSF | Graduate Research Fellows... (1745016)

    Anonymized smartphone-based mobility data has been widely adopted in devising and evaluating COVID-19 response strategies such as the targeting of public health resources. Yet little attention has been paid to measurement validity and demographic bias, due in part to th...

  • publication . Article . Conference object . 2020
    Open Access
    Authors:
    Manuel Cardona; Allan Palma; Josue Manzanares;
    Persistent Identifiers
    Publisher: IEEE

    This paper presents how the COVID-19 pandemic has changed the course of the mobile robotics market, showing the status of mobile robots in three stages: before, during and after the COVID-19 pandemic. By analyzing these stages, it is possible to estimate what awaits thi...

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  • publication . Article . Conference object . 2020
    Open Access
    Authors:
    Manuel Cardona; Fernando Cortez; Andres Palacios; Kevin Cerros;
    Persistent Identifiers
    Publisher: IEEE

    This article presents an investigation about the different applications of mobile robots in the fight against the Covid- 19 pandemic. It shows the different contributions of companies around the world that seek to adapt to the new needs in order to be able to mitigate t...

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  • publication . Preprint . 2020
    Open Access English
    Authors:
    Assamagan, Kétévi A.; Azote, Somiéalo; Connell, Simon H.; Haliya, Cyrille E.; Mabote, Toivo S.; Mwale, Kondwani C. C.; Onyie, Ebode F.; Zimba, George;

    COVID-19 is a new pandemic disease that is affecting almost every country with a negative impact on social life and economic activities. The number of infected and deceased patients continues to increase globally. Mathematical models can help in developing better strate...

  • publication . Preprint . 2020
    Open Access English
    Authors:
    Mallick, Ankur; Dwivedi, Chaitanya; Kailkhura, Bhavya; Joshi, Gauri; Han, T. Yong-Jin;

    While Deep Neural Networks (DNNs) achieve state-of-the-art accuracy in various applications, they often fall short in accurately estimating their predictive uncertainty and, in turn, fail to recognize when these predictions may be wrong. Several uncertainty-aware models...

61 research outcomes, page 1 of 7