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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients</text>
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                <text>Roopa Kohli-Seth, Robert Freeman, Fu-Yuan Cheng, Himanshu Joshi, Madhu Mazumdar, David L. Reich, Arash Kia, Prem Timsina, Matthew Levin, Pranai Tandon</text>
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                <text>Objectives: Approximately 20–30% of patients with COVID-19 require hospitalization, and 5–12% may require critical care in an intensive care unit (ICU). A rapid surge in cases of severe COVID-19 will lead to a corresponding surge in demand for ICU care. Because of constraints on resources, frontline healthcare workers may be unable to provide the frequent monitoring and assessment required for all patients at high risk of clinical deterioration. We developed a machine learning-based risk prioritization tool that predicts ICU transfer within 24 h, seeking to facilitate efficient use of care providers’ efforts and help hospitals plan their flow of operations. Methods: A retrospective cohort was comprised of non-ICU COVID-19 admissions at a large acute care health system between 26 February and 18 April 2020. Time series data, including vital signs, nursing assessments, laboratory data, and electrocardiograms, were used as input variables for training a random forest (RF) model. The cohort was randomly split (70:30) into training and test sets. The RF model was trained using 10-fold cross-validation on the training set, and its predictive performance on the test set was then evaluated. Results: The cohort consisted of 1987 unique patients diagnosed with COVID-19 and admitted to non-ICU units of the hospital. The median time to ICU transfer was 2.45 days from the time of admission. Compared to actual admissions, the tool had 72.8% (95% CI: 63.2–81.1%) sensitivity, 76.3% (95% CI: 74.7–77.9%) specificity, 76.2% (95% CI: 74.6–77.7%) accuracy, and 79.9% (95% CI: 75.2–84.6%) area under the receiver operating characteristics curve. Conclusions: A ML-based prediction model can be used as a screening tool to identify patients at risk of imminent ICU transfer within 24 h. This tool could improve the management of hospital resources and patient-throughput planning, thus delivering more effective care to patients hospitalized with COVID-19.</text>
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                <text>2020</text>
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                <text>random forest, Critical care, intensive care units, supervised machine learning, COVID-19</text>
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                <text>DOI: 10.3390/jcm9061668</text>
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                <text>Journal of Clinical Medicine</text>
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                <text>MDPI AG</text>
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                <text>Medicine</text>
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              <name>Title</name>
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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>Polypathy: searching for etiopathogenetic risks factors</text>
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                <text>A. V. Fus, G. I. Podolinny</text>
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                <text>The article provides an overview of the literature on the actual problem of diseases - polypathy. The review focuses problematic aspects of comorbid states, the scatter of their definitions, the incidence in different countries according to the international scientific community, the frequency of use of comorbid indices, the influence of racial and ethnicity in polypathies, risk factors for the development of combined diseases both at the level of an individuals genes and aspects of a persons lifestyle and the environment, options for their pathogenetic development with examples of nodal chains and their effects (nodules), examples of countries with modified risk factors to reduce mortality according to the approved action plan World Health Organization for the Prevention of Chronic Noncommunicable Diseases. The review focuses on factors contributing to the development of polypathy, in particular connective tissue dysplasia. The problems of diagnosing the external signs of connective tissue dysplasia in comorbid patients according to accepted diagnostic criteria and the frequency of their occurrence abroad and in Russia. An analogy is drawn between the concept of cardiovascular continuum and the development of polypathy in the patients body with connective tissue dysplasia of varying severity. There is analyzed the experience of treating patients with comorbid pathology of both the international scientific society of comorbidity (2010) and the Russian recommendations on comorbidity (2016). There is raised the development of COVID-19 in different patients with polypathy in China and other countries.</text>
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                <text>2020</text>
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                <text>Co-Morbidity, molecular networks, connective tissue dysplasia, syntropy, cardiovascular continuum, polypathy, the prevalence of polypathy, valeology and risk factors for polypathy, intermolecular nodes</text>
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                <text>DOI: 10.22363/2313-0245-2020-24-2-135-144</text>
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                <text>RUDN Journal of Medicine</text>
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                <text>Peoples’ Friendship University of Russia (RUDN University)</text>
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            <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</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Telemedicine for chronic pain management during COVID-19 pandemic</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Sukhminder Jit Singh Bajwa, Babita Ghai, Naveen Malhotra</text>
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            <description>An account of the resource</description>
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                <text>Treatment of chronic pain is an essential service. Due to lockdown, travel restrictions, social and physical distancing requirements or fear that health care facilities may be infected; patients may avoid visiting health care facilities in person. It is also imperative to decrease the risk of exposure of the health care workers (HCWs) to severe acute respiratory syndrome corona virus 2 (SARS CoV2) and to ease the overtly burdened health care system. But any disruption in pain practice will have alarming consequences for individuals, society, and whole of health care system and providers. In the current scenario of COVID-19 pandemic, telemedicine is emerging as a key technology for efficient communication and sustainable solution to provide essential health care services and should be considered for chronic pain patients (CPPs). Recently, Board of Governors in supersession of Medical Council of India along with National Institution for Transforming India (NITI Aayog) released “Telemedicine Practice Guidelines” enabling registered medical practitioners to provide healthcare using telemedicine. This article describes the challenges in CPPs during COVID-19 pandemic and the use of telemedicine as the rescue management vehicle for CPPs in current scenario.</text>
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                <text>2020</text>
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                <text>Chronic pain, telemedicine, COVID-19</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.4103/ija.IJA_652_20</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Indian Journal of Anaesthesia</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Wolters Kluwer Medknow Publications</text>
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            <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>Anesthesiology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Lessons from COVID-19 in India: Extended lockdowns – At what cost?</text>
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                <text>Sachin Ramchandra Atre</text>
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                <text>DOI: 10.4103/mjdrdypu.mjdrdypu_245_20</text>
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                <text>Medical Journal of Dr. D.Y. Patil Vidyapeeth</text>
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                <text>Wolters Kluwer Medknow Publications</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>КОМПЛЕКСНЕ ЗАСТОСУВАННЯ GOOGLE CLASSROOM ДЛЯ СТВОРЕННЯ ВАРІАТИВНИХ ДИСТАНЦІЙНИХ КУРСІВ</text>
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                <text>Юрій Миколайович Богачков, Антоніна Василівна Букач, Павло Станіславович Ухань</text>
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                <text>Актуальність. В умовах наявності єдиних державних стандартів загальної середньої освіти та класно-урочної системи можливість застосування індивідуальної освітньої траєкторії (ІОТ) досі залишається здебільшого лише потенційною. Також в інших галузях (наприклад, в IT підвищення кваліфікації педагогів та держслужбовців) формується потреба більш гнучкої підготовки фахівців. ІОТ передбачає можливість слухачу самостійно обирати темп, методи і засоби навчання. Переважна кількість програм та реалізованих дистанційних курсів мають лінійну структуру, що суттєво обмежує можливу варіативність вибору темпу та послідовності надання завдань. Актуальність розроблення таких інструментів або адаптація вже наявних для спрощення індивідуалізації навчання особливо відчутна в умовах зростання попиту на дистанційне навчання в умовах COVID-19 Постановка проблеми. У середовищі Google Classroom відсутні засоби забезпечення варіативності навчальних курсів та зменшення навантаження на викладача. Шляхи вирішення проблеми. Пропонується створення додатку до Google Classroom у системі G Suite for Education, який реалізує функціонал варіативності та зменшення навантаження на викладача. Результати. Представлено прототип додатку Classroom Х, який забезпечує можливості планування послідовності надання завдань за умови виконання попередніх, автоматичне надання завдань, автоматизацію перевірки завдань (за мінімальної участі викладача), організацію повторення матеріалу, динамічну зміну індивідуальної освітньої траєкторії при зміні обставин та потреб слухача. Це дозволяє суттєво зменшити навантаження на тьютора або зовсім відмовитись від нього. Додаток пройшов успішну апробацію. Висновки Проведене дослідження показало потенційну можливість удосконалення Google Classroom для організації варіативного дистанційного навчання. У ході експериментів у навчальних групах підвищення кваліфікації практично перевірено принциповий механізм, що забезпечує розширену варіативність подання навчального матеріалу та зменшення навантаження на викладача. Такий функціонал особливо цінний при тотальному вимушеному переході до дистанційного навчання в умовах карантину COVID-19.</text>
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                <text>2020</text>
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            <name>Subject</name>
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                <text>тьютор, дистанційне навчання, індивідуальна освітня траєкторія, карта завдань, підвищення кваліфікації педагогів</text>
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                <text>DOI: 10.33407/itlt.v76i2.3338</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Інформаційні технології і засоби навчання</text>
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                <text>Institute of Information Technologies and Learning Tools</text>
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            <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>Theory and practice of education</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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          <element elementId="50">
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            <description>A name given to the resource</description>
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                <text>Clozapine is strongly associated with the risk of pneumonia and inflammation</text>
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                <text>Jose de Leon, Chuan-Yue Wang, Hélène Verdoux, Can-Jun Ruan</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Clinicians need to remember that (1) systemic inflammations can increase clozapine level; (2) clozapine, by itself, can cause inflammation, particularly during titration that is too rapid for that patient; (3) clozapine may increase the risk of infection; and (4) more specifically, clozapine may be particularly strongly associated with the risk of pneumonia. Pneumonia appears to be associated with high mortality in clozapine patients around the world. Clinicians who are alert to the risk of pneumonia in clozapine patients may significantly decrease mortality in clozapine patients. There is no data on COVID-19 infections in clozapine patients, but based on what we know about clozapine pharmacology, we can hypothesise that clozapine, possibly by impairing immunological mechanisms, may increase the risk of pneumonia in infected patients. More importantly, once fever and/or pneumonia develops, the clozapine dose should be cut in half to decrease the risk of clozapine intoxication. If there is any doubt that in spite of halving the dose there are still signs of clozapine intoxication, completely stopping clozapine may be indicated. Once the signs of inflammation and fever have disappeared, the clozapine dose can be increased to the prior dosage level.</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>DOI: 10.1136/gpsych-2019-100183</text>
              </elementText>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>General Psychiatry</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="33418">
                <text>BMJ Publishing Group</text>
              </elementText>
            </elementTextContainer>
          </element>
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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>Psychiatry</text>
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  <item itemId="3625" public="1" featured="0">
    <fileContainer>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <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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      </elementSetContainer>
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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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        <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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              <elementText elementTextId="33420">
                <text>What does ‘leave no one behind’ mean for humanitarian crises-affected populations in the COVID-19 pandemic?</text>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33421">
                <text>Karl Blanchet, Neha S. Singh, Sam Tweed, Behrouz Nezafat Maldonado, Wendy Jane Graham, Lucy Singh</text>
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            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33422">
                <text>2020</text>
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            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="33423">
                <text>DOI: 10.1136/bmjgh-2020-002540</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="33424">
                <text>BMJ global health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <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>
            <elementTextContainer>
              <elementText elementTextId="33425">
                <text>Medicine (General), Infectious and parasitic diseases</text>
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  <item itemId="3626" public="1" featured="0">
    <fileContainer>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
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      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <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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    <elementSetContainer>
      <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>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33426">
                <text>COVID-19 and informal settlements: an urgent call to rethink urban governance</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33427">
                <text>B Marchal, S van Belle, W Van Damme, K. Polman, Prashanth N Srinivas, C. Affun-Adegbulu, W. Soors, G. Hegel, D. Saluja, I. Abejirinde, E. Wouters, C. Masquillier, H. Tabana, F. Chenge</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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              <elementText elementTextId="33428">
                <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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              <elementText elementTextId="33429">
                <text>DOI: 10.1186/s12939-020-01198-0</text>
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            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="33430">
                <text>International Journal for Equity in Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="33431">
                <text>BMC</text>
              </elementText>
            </elementTextContainer>
          </element>
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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>
            <elementTextContainer>
              <elementText elementTextId="33432">
                <text>Public aspects of medicine</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
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      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <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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    <elementSetContainer>
      <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>Clinical and basic cardiovascular features of patients with COVID-19 admitted to a tertiary care center in Turkey</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33434">
                <text>Seyhan Yılmaz, Sabür Zengin, Sema Avcı</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="33435">
                <text>Aim: COVID-19 is a new zoonotic infectious disease that can cause acute respiratory failure, which first occurred in Wuhan, China in December 2019. The aim of study was to analyze cases with COVID-19 admitted to a tertiary care center in Turkey.Methods: We evaluated demographic characteristics, clinical symptoms or signs, comorbidities, laboratory results, chest computed tomography (CT) findings and outcomes including hospitalization, intensive care unit (ICU) admission and survival of 49 patients (20 females, 29 males) diagnosed with COVID-19 disease.Results: Twenty (40.9%) of the cases were female and 29 (59.1%) were male. The mean age of the patients was 56.20 (17.65) years. The most common symptom was cough (75.5%). Hypertension (26.5%) was the most prevalent comorbid disease. Troponin I result of 42 (85.7%) patients were negative (reference value &amp;lt;0.1 ng/mL). Ten patients (18.4%) were admitted to the ICU and overall mortality rate was 4.1% (n=2). The important characteristics of two non-survivors were as follows: 1) A 67-year-old-man, high fever (38.50C), current smoker, diabetes mellitus (+), chronic obstructive pulmonary disease (COPD) (+), congestive heart failure (+), first admission to ICU, bilateral infiltration on chest CT, troponin I: 4.01 ng/L. 2) A 38-year-old-man, current smoker, COPD (+), first admission to ICU and high CRP (120.86 m/L).Conclusion: The clinical parameters that determine the prognosis of COVID-19 are currently acute respiratory tract exacerbation and accompanying cardiovascular diseases such as hypertension and coronary artery disease. Cardiac enzyme monitoring is important in patients with cardiovascular risk factors.</text>
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                <text>2020</text>
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            <name>Subject</name>
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                <text>Clinical profile, tertiary care center, COVID-19, klinik profil, üçüncü basamak merkez</text>
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                <text>DOI: 10.28982/josam.727935</text>
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            <name>Source</name>
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            <elementTextContainer>
              <elementText elementTextId="33439">
                <text>Journal of Surgery and Medicine</text>
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            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="33440">
                <text>Journal of Surgery and Medicine</text>
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            <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>Surgery, Medicine (General), Medicine</text>
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        <src>https://www.socictopen.socict.org/files/original/eaab0198eb4664a8440f094e27e0bbfc.pdf</src>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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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>Dublin Core</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Acute myocarditis and multisystem inflammatory emerging disease following SARS-CoV-2 infection in critically ill children</text>
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            <name>Creator</name>
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                <text>Michael Levy, Marianne Leruez-Ville, Florence Moulin, Sylvain Renolleau, Pierre Quartier, Pierre-Louis Léger, Sandrine Jean, Matthieu Bendavid, Mehdi Oualha, Diala Khraiche, Guillaume Geslain, Marion Grimaud, Julie Starck, Clémence Marais, Judith Chareyre, Nada Semaan, Géraldine Poncelet</text>
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                <text>Abstract Background A recent increase in children admitted with hypotensive shock and fever in the context of the COVID-19 outbreak requires an urgent characterization and assessment of the involvement of SARS-CoV-2 infection. This is a case series performed at 4 academic tertiary care centers in Paris of all the children admitted to the pediatric intensive care unit (PICU) with shock, fever and suspected SARS-CoV-2 infection between April 15th and April 27th, 2020. Results 20 critically ill children admitted for shock had an acute myocarditis (left ventricular ejection fraction, 35% (25–55); troponin, 269 ng/mL (31–4607)), and arterial hypotension with mainly vasoplegic clinical presentation. The first symptoms before PICU admission were intense abdominal pain and fever for 6 days (1–10). All children had highly elevated C-reactive protein (&gt; 94 mg/L) and procalcitonin (&gt; 1.6 ng/mL) without microbial cause. At least one feature of Kawasaki disease was found in all children (fever, n = 20, skin rash, n = 10; conjunctivitis, n = 6; cheilitis, n = 5; adenitis, n = 2), but none had the typical form. SARS-CoV-2 PCR and serology were positive for 10 and 15 children, respectively. One child had both negative SARS-CoV-2 PCR and serology, but had a typical SARS-CoV-2 chest tomography scan. All children but one needed an inotropic/vasoactive drug support (epinephrine, n = 12; milrinone, n = 10; dobutamine, n = 6, norepinephrine, n = 4) and 8 were intubated. All children received intravenous immunoglobulin (2 g per kilogram) with adjuvant corticosteroids (n = 2), IL 1 receptor antagonist (n = 1) or a monoclonal antibody against IL-6 receptor (n = 1). All children survived and were afebrile with a full left ventricular function recovery at PICU discharge. Conclusions Acute myocarditis with intense systemic inflammation and atypical Kawasaki disease is an emerging severe pediatric disease following SARS-CoV-2 infection. Early recognition of this disease is needed and referral to an expert center is recommended. A delayed and inappropriate host immunological response is suspected. While underlying mechanisms remain unclear, further investigations are required to target an optimal treatment.</text>
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            <name>Date</name>
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                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
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                <text>Children, Shock, Acute myocarditis, SARS-CoV-2, Multisystem inflammatory syndrome</text>
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            <name>Identifier</name>
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              <elementText elementTextId="33447">
                <text>DOI: 10.1186/s13613-020-00690-8</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="33448">
                <text>Annals of Intensive Care</text>
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            <name>Publisher</name>
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                <text>SpringerOpen</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="33450">
                <text>Medical emergencies. Critical care. Intensive care. First aid</text>
              </elementText>
            </elementTextContainer>
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