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                  <text>Dominio científico: Coronavirus</text>
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                <text>Severe Acute Respiratory Syndrome Coronavirus 2 Outbreak Related to a Nightclub, Germany, 2020</text>
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                <text>Nadine Muller, Mareike Kunze, Fabienne Steitz, Neil J. Saad, Barbara Mühlemann, Jörn I. Beheim-Schwarzbach, Julia Schneider, Christian Drosten, Lukas Murajda, Sandra Kochs, Claudia Ruscher, Jan Walter, Nadine Zeitlmann, Victor M. Corman</text>
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                <text>We report an outbreak of coronavirus disease with 74 cases related to a nightclub in Germany in March 2020. Staff members were particularly affected (attack rate 56%) and likely caused sustained viral transmission after an event at the club. This outbreak illustrates the potential for superspreader events and corroborates current club closures.</text>
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                <text>SARS, Respiratory Infections, covid-19, SARS-CoV-2, severe acute respiratory syndrome coronavirus 2, coronavirus disease</text>
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                <text>10.3201/eid2702.204443</text>
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                <text>Emerging Infectious Diseases</text>
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                <text>Medicine, Infectious and parasitic diseases</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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            <name>Title</name>
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                <text>Anti-Inflammatory Properties of Drugs Used to Control COVID-19 and their Effects on the Renin-Angiotensin System and Angiotensin-Converting Enzyme-2</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="41159">
                <text>Fakhreddin Jamali, Hamed Gilzad-Kohan</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>COVID-19 infection is associated with systemic inflammation, and sometimes hyperinflammatory responses with cytokine storm. This plays a major role in COVID-19 severity and poor disease prognosis, even death. Higher levels of inflammatory hallmarks including C-reactive protein, ferritin, D-dimers, and cytokines such as interleukin (IL) -6, IL-10 and tumor necrosis factor- α (TNF-α) have been reported. Many anti-viral drugs have been tried, but none were proven fully effective. Supportive care and management of the complications that are caused mainly by inflammation might be the key to greater survival rates and shorter hospitalization (e.g., the use of remdesivir, lopinavir, ritonavir, umifenovir (arbidol), oseltamivir, ganciclovir, favipiravir, darunavir, hydroxychloroquine, chloroquine, colchicine, azithromycin, anakinra, canakinumab, tocilizumab, siltuximab, sarilumab, Type 1 interferon, interferon β-1a, interferon α-2b, baricitinib, ruxolitinib, fedratinib, methylprednisolone and dexamethasone). However, the efficacy of these treatments still needs well-planned clinical trials. In such trials, careful attention must be paid to the duration of the treatment, the onset of beneficial effects, and the severity of the disease, otherwise, the outcomes may still remain inconclusive. Herein, we present a review of the current drugs, which are being used in the management of the disease and their anti-inflammatory properties. We also investigated if these drugs directly interact with Angiotensin-Converting Enzyme (ACE 2), which is a crucial component of the virus entry to the cells.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2020</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.18433/jpps31346</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="41163">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="41164">
                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Therapeutics. Pharmacology, Pharmacy and materia medica</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Statistical design of Phase II/III clinical trials for testing therapeutic interventions in COVID-19 patients</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="41167">
                <text>Shesh N. Rai, Chen Qian, Jianmin Pan, Anand Seth, Deo Kumar Srivastava, Aruni Bhatnagar</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Abstract Background Because of unknown features of the COVID-19 and the complexity of the population affected, standard clinical trial designs on treatments may not be optimal in such patients. We propose two independent clinical trials designs based on careful grouping of patient and outcome measures. Methods Using the World Health Organization ordinal scale on patient status, we classify treatable patients (Stages 3–7) into two risk groups. Patients in Stages 3, 4 and 5 are categorized as the intermediate-risk group, while patients in Stages 6 and 7 are categorized as the high-risk group. To ensure that an intervention, if deemed efficacious, is promptly made available to vulnerable patients, we propose a group sequential design incorporating four factors stratification, two interim analyses, and a toxicity monitoring rule for the intermediate-risk group. The primary response variable (binary variable) is based on the proportion of patients discharged from hospital by the 15th day. The goal is to detect a significant improvement in this response rate. For the high-risk group, we propose a group sequential design incorporating three factors stratification, and two interim analyses, with no toxicity monitoring. The primary response variable for this design is 30 day mortality, with the goal of detecting a meaningful reduction in mortality rate. Results Required sample size and toxicity boundaries are calculated for each scenario. Sample size requirements for designs with interim analyses are marginally greater than ones without. In addition, for both the intermediate-risk group and the high-risk group, the required sample size with two interim analyses is almost identical to analyses with just one interim analysis. Conclusions We recommend using a binary outcome with composite endpoints for patients in Stage 3, 4 or 5 with a power of 90% to detect an improvement of 20% in the response rate, and a 30 day mortality rate outcome for those in Stage 6 or 7 with a power of 90% to detect 15% (effect size) reduction in mortality rate. For the intermediate-risk group, two interim analyses for efficacy evaluation along with toxicity monitoring are encouraged. For the high-risk group, two interim analyses without toxicity monitoring is advised.</text>
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                <text>2020</text>
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            <name>Subject</name>
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                <text>intubation, covid-19, Hospitalization, Efficacy, composite outcomes, interim analysis</text>
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            <name>Identifier</name>
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              <elementText elementTextId="41171">
                <text>10.1186/s12874-020-01101-z</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="41172">
                <text>Biotemas</text>
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            <name>Publisher</name>
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              <elementText elementTextId="41173">
                <text>Universidade Federal de Santa Catarina</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine (General)</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>The Utility of Anti-Covid-19 Desks in Italy, Doubts and Criticism</text>
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                <text>Giuseppe Musumeci, Marco Bergamin</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>As of the 14th of September, Italy has been considered one of the more susceptible nations in terms of risk of increase for Sars-Cov-2 contagion [...]</text>
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                <text>2021</text>
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                <text>n/a</text>
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                <text>10.3390/jfmk6010002</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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              <elementText elementTextId="41182">
                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="41183">
                <text>Diseases of the musculoskeletal system</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <description>A name given to the resource</description>
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                <text>Social Transmission of Corona Virus: An overview</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Somadatta  Das, Angurbala Mishra, Subhasmita  Biswal, Rabindra Nath Padhy, Bibhuti Bhusan  Pradhan</text>
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            <description>An account of the resource</description>
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                <text>In this paper we chart the history of selected metaphors that have been used to describe Virtual Learning Environments (VLEs) over the last 15 years. Martin Weller famously claimed in 2007 that “the VLE is dead”. This provocation positioned the VLE as an object of history, forcing us to consider its past, present and future. This notion of historical mapping is important as many educational technologies that failed to deliver on their promises can be easily forgotten. Hence, we sought to develop a short history of VLE metaphors. Using a defined search and selection strategy we selected 30 metaphors spanning a 15-year period from 2004 to 2019 derived from a variety of sources ranging from social media to scholarly publications. We first arranged the metaphors according to a chronological timeline. Next we sought to unpack their significance by thematically analysing them using the notion of metaphorical concepts. Through this thematic analysis, six organizing metaphorical concepts were generated: Straitjacket, Behemoth, Digital Carpark, Safe Space, Smorgasbord and Pathfinder. We then used these metaphorical concepts as a lens, to map and explore historical developments and debates over the past two decades of educational technology. As the world scrambles to go online during the COVID-19 pandemic there has never been a more important time to remember and reflect upon digital learning history. Through this work we contribute to the history of educational technology by remembering its metaphors and what they have taught us. After we had navigated these historical seas, we noticed that the VLE was still here, as a limpet resolutely awaiting the next wave.</text>
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        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
