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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>How villagers in central Sierra Leone understand infection risks under threat of Covid-19.</text>
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                <text>Foday Mamoud Kamara, Esther Yei Mokuwa, Paul Richards</text>
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                <text>BackgroundConcern has been expressed over how well Africa is prepared to cope with the pandemic of Covid-19. Will rural populations with low levels of education know how to apply community-based infection control? We undertook fieldwork in two villages in central Sierra Leone to gain insight into how rural people faced with Covid-19 assess epidemic infection risks.MethodsTwo communities were selected based on prior contrasted exposure to Ebola Virus Disease-one with substantial number of cases and the other having resisted infection through strong community sequestration measures. We assessed understanding of infection risks via an experimental game. This asked players to express a preference for one of two diseases, one resembling Ebola with lower risk of infection and the other resembling Covid-19 with lower risk of death. Players were not told the identity of the diseases.ResultsIn total 107 adult villagers played the game (58% women). Half (52%) preferred the disease model with lower risk of infection, 29% preferred the model with lower risk of death, while 21% saw the combined risk of infection and death as being equivalent. Differences in reactions between the two locations were small despite different experiences of Ebola. Asked to explain their choices 48% of players cited information on infection risks modelled by the game and 31% stated that their choices reflected awareness of the need for personal action and respect for local regulations. We concluded that villagers thoughtfully assess disease risks and that some are good intuitive statisticians.ConclusionsResults suggest rural people in Sierra Leone retain the lessons of experience from the Ebola outbreak of 2014-15 and will be able to apply these lessons to a new infectious disease for which have no prior practical experience. Our expectation is that rural populations will understand Covid-19 control measures, thus reducing need for draconian enforcement.</text>
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                <text>2020</text>
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            <name>Identifier</name>
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                <text>10.1371/journal.pone.0235108</text>
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                <text>Epidemiology and Health</text>
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                <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>Science, Medicine</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>STATISTICAL ANALYSIS OF THE SITUATION DETERMINED BY COVID 19 IN ROMANIA</text>
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                <text>ELEODOR ALIN MIHAI, CORNELIA TOMESCU-DUMITRESCU</text>
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                <text>The first confirmed death from coronavirus infection occurred on 9 January 2020. On January 23, 2020,the Wuhan center was placed in quarantine, where all public transport in Wuhan and Wuhan were suspended. Thenearby cities of Huanggang, Ezhou, Chibi, Jingzhou and Zhejiang have also been quarantined since 24 January 2020.Coronavirus 2019-nCoV was identified in Wuhan, Hubei Province, China, after people developed pneumonia withouta clear cause and for which existing vaccines or treatments were not effective. The virus shows evidence of person-toperson transmission, and the transmission rate (infection rate) appears to have escalated in mid-January, from othercases than those reported by China so far. The first cases of coronavirus in Romania and the Republic of Moldovawere confirmed on February 26 and March 7, 2020 respectively</text>
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                <text>2020</text>
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                <text>quarantine, coronavirus pandemic, number of deaths, number of diseases</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</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>Economics as a science, Commercial geography. Economic geography</text>
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        <src>https://www.socictopen.socict.org/files/original/4ce2aa289300c0dd188fd59396e8f8bd.pdf</src>
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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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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Patterns of Mental Health Hotline Calls during and before Pandemic</text>
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              <elementText elementTextId="44480">
                <text>Gerasimova A.A.</text>
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                <text>The article compares calls to a mental health hotline from March 1 to April 17, 2020, with the same period in 2019. Calls related to stress, anxiety, suicide, and abuse are considered. In 2020, compared with the same period in 2019, the following dynamics are noted: the number of calls concerning anxious conditions increased 2.5 times; calls about suicidal acts appeared, the number of calls about self-harming behavior increased 2.5 times; the number of complaints on the topics of domestic, physical and sexual abuse increased almost 1.5 times. It is assumed that the results can be extrapolated and thus they reflect the current psychological difficulties of people as a whole.</text>
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                <text>2020</text>
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                <text>coronavirus, covid-19, Pandemic, mental health hotline</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>10.17759/cpp.2020280206</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Консультативная психология и психотерапия</text>
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                <text>Moscow State University of Psychology and Education</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>Psychology</text>
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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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            <description>A name given to the resource</description>
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                <text>Jugaad Culture Amidst COVID-19: A Time to Step Up for Innovation in Low-Income Countries.</text>
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                <text>Suman Baral</text>
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                <text>More than four months have already elapsed after the world first encountered Coronavirus claimed to originate from Wuhan, China. Scientifically, termed sudden acute respiratory syndrome corona virus (SARS-CoV-2), that causes Coronavirus disease of 2019 (COVID-19), this deadly pathogen has already claimed about 2.83 lakhs casualties with four million infected and 1.5 million recovered as of 11 May 2020. Different preventive measures like hand washing, social distancing, nation-wide lock down from March 23 have been practised in Nepal which has definitely dwindled the number of positive cases. they have helped flatten the curve and procure time for preparation for forthcoming disaster. Total documented positive cases have been 120 till date (11 May 2020) with zero mortality in Nepal. However, the scenario might be out of control in coming days where claims of inadequate testing due to lack of diagnostic kits have been a major issue. Whatever be the outcome in upcoming days, for an economically poor country like Nepal, preparation seems satisfactory despite challenges to outsourcing the necessary kits like Personal Protective Equipment (PPE) and diagnostic Polymerase Chain Reaction (PCR) machines etc.</text>
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                <text>2020</text>
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                <text>coronavirus, covid-19, innovation, Jugaad</text>
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                <text>Journal of Lumbini Medical College</text>
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                <text>Lumbini Medical College</text>
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                <text>Medicine (General)</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Chest CT findings related to mortality of patients with COVID-19: A retrospective case-series study.</text>
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                <text>Yiqi Hu, Chenao Zhan, Chengyang Chen, Tao Ai, Liming Xia</text>
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                <text>BackgroundAs the current outbreak of COVID-2019 disease has spread to the other more than 150 countries besides China around the world and the death number constantly increased, the clinical data and radiological findings of death cases need to be explored so that more physicians, radiologists and researchers can gain important information to save more lives.Methods73 patients who died from COVID-19 were retrospectively included. The clinical and laboratory data of the patients were extracted from electronic medical records. The clinical data, inflammation-related laboratory results, and CT imaging features were summarized. The laboratory results and dynamic changes of imaging features and severity scores of lung involvement based on chest CT were analyzed.ResultsThe mean age was 67±12 years. The typical clinical symptoms included fever (88%), cough (62%) and dyspnea (23%). 65% patients had at least one underlying disease. GGO with consolidation was the most common feature for the five lung lobes (47%-53% among the various lobes), with total severity score of 12.97±5.87 for the both lungs. The proportion of GGO with consolidation is markedly increased on follow-up chest CT compared with initial CT scans, as well as the averaging total CT scores (14.53±5.76 vs. 6.60±5.65; P</text>
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                <text>2020</text>
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                <text>10.1371/journal.pone.0237302</text>
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              <elementText elementTextId="44503">
                <text>Korean Society of Epidemiology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Simulating the progression of the COVID-19 disease in Cameroon using SIR models.</text>
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              <elementText elementTextId="44506">
                <text>Ulrich Nguemdjo, Freeman Meno, Audric Dongfack, Bruno Ventelou</text>
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            <description>An account of the resource</description>
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                <text>This paper analyses the evolution of COVID-19 in Cameroon over the period March 6-April 2020 using SIR models. Specifically, we 1) evaluate the basic reproduction number of the virus, 2) determine the peak of the infection and the spread-out period of the disease, and 3) simulate the interventions of public health authorities. Data used in this study is obtained from the Cameroonian Public Health Ministry. The results suggest that over the identified period, the reproduction number of COVID-19 in Cameroon is about 1.5, and the peak of the infection should have occurred at the end of May 2020 with about 7.7% of the population infected. Furthermore, the implementation of efficient public health policies could help flatten the epidemic curve.</text>
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                <text>2020</text>
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                <text>10.1371/journal.pone.0237832</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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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="44511">
                <text>Korean Society of Epidemiology</text>
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            </elementTextContainer>
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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>Science, Medicine</text>
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        <src>https://www.socictopen.socict.org/files/original/19bb03f48598305556d5c3f87e36e6e2.pdf</src>
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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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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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      </elementSetContainer>
    </collection>
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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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    <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="44513">
                <text>Could Vitamins Help in the Fight Against COVID-19?</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="44514">
                <text>Thomas  H Jovic, Stephen  R Ali, Nader Ibrahim, Zita  M Jessop, Sam  P Tarassoli, Thomas  D Dobbs, Patrick Holford, Catherine  A Thornton, Iain  S Whitaker</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="44515">
                <text>There are limited proven therapeutic options for the prevention and treatment of COVID-19. The role of vitamin and mineral supplementation or “immunonutrition” has previously been explored in a number of clinical trials in intensive care settings, and there are several hypotheses to support their routine use. The aim of this narrative review was to investigate whether vitamin supplementation is beneficial in COVID-19. A systematic search strategy with a narrative literature summary was designed, using the Medline, EMBASE, Cochrane Trials Register, WHO International Clinical Trial Registry, and Nexis media databases. The immune-mediating, antioxidant and antimicrobial roles of vitamins A to E were explored and their potential role in the fight against COVID-19 was evaluated. The major topics extracted for narrative synthesis were physiological and immunological roles of each vitamin, their role in respiratory infections, acute respiratory distress syndrome (ARDS), and COVID-19. Vitamins A to E highlighted potentially beneficial roles in the fight against COVID-19 via antioxidant effects, immunomodulation, enhancing natural barriers, and local paracrine signaling. Level 1 and 2 evidence supports the use of thiamine, vitamin C, and vitamin D in COVID-like respiratory diseases, ARDS, and sepsis. Although there are currently no published clinical trials due to the novelty of SARS-CoV-2 infection, there is pathophysiologic rationale for exploring the use of vitamins in this global pandemic, supported by early anecdotal reports from international groups. The final outcomes of ongoing trials of vitamin supplementation are awaited with interest.</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>
            <elementTextContainer>
              <elementText elementTextId="44516">
                <text>2020</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="44517">
                <text>covid-19, SARS-CoV-2, supplementation, immunonutrition, vitamin</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="44518">
                <text>10.3390/nu12092550</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="44519">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="44520">
                <text>Universidade Federal de Santa Catarina</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="44521">
                <text>Nutrition. Foods and food supply</text>
              </elementText>
            </elementTextContainer>
          </element>
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  <item itemId="4947" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/6d9f51698dc2e4e6fd4f7bd71cd34288.pdf</src>
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          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </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>
    </itemType>
    <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="44522">
                <text>Prognostic factors in Spanish COVID-19 patients: A case series from Barcelona.</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="44523">
                <text>Antoni Sisó-Almirall, Belchin Kostov, Minerva Mas-Heredia, Sergi Vilanova-Rotllan, Ethel Sequeira-Aymar, Mireia Sans-Corrales, Elisenda Sant-Arderiu, Laia Cayuelas-Redondo, Angela Martínez-Pérez, Noemí García-Plana, August Anguita-Guimet, Jaume Benavent-Àreu</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="44524">
                <text>BackgroundIn addition to the lack of COVID-19 diagnostic tests for the whole Spanish population, the current strategy is to identify the disease early to limit contagion in the community.AimTo determine clinical factors of a poor prognosis in patients with COVID-19 infection.Design and settingDescriptive, observational, retrospective study in three primary healthcare centres with an assigned population of 100,000.MethodExamination of the medical records of patients with COVID-19 infections confirmed by polymerase chain reaction. Logistic multivariate regression models adjusted for age and sex were constructed to analyse independent predictive factors associated with death, ICU admission and hospitalization.ResultsWe included 322 patients (mean age 56.7 years, 50% female, 115 (35.7%) aged ≥ 65 years): 123 (38.2) were health workers (doctors, nurses, auxiliaries). Predictors of ICU admission or death were greater age (OR = 1.05; 95%CI = 1.03 to 1.07), male sex (OR = 2.94; 95%CI = 1.55 to 5.82), autoimmune disease (OR = 2.82; 95%CI = 1.00 to 7.84), bilateral pulmonary infiltrates (OR = 2.86; 95%CI = 1.41 to 6.13), elevated lactate-dehydrogenase (OR = 2.85; 95%CI = 1.28 to 6.90), elevated D-dimer (OR = 2.85; 95%CI = 1.22 to 6.98) and elevated C-reactive protein (OR = 2.38; 95%CI = 1.22 to 4.68). Myalgia or arthralgia (OR = 0.31; 95%CI = 0.12 to 0.70) was protective factor against ICU admission and death. Predictors of hospitalization were chills (OR = 5.66; 95%CI = 1.68 to 23.49), fever (OR = 3.33; 95%CI = 1.89 to 5.96), dyspnoea (OR = 2.92; 95%CI = 1.62 to 5.42), depression (OR = 6.06; 95%CI = 1.54 to 40.42), lymphopenia (OR = 3.48; 95%CI = 1.67 to 7.40) and elevated C-reactive protein (OR = 3.27; 95%CI = 1.59 to 7.18). Anosmia (OR = 0.42; 95%CI = 0.19 to 0.90) was the only significant protective factor for hospitalization after adjusting for age and sex.ConclusionDetermining the clinical, biological and radiological characteristics of patients with suspected COVID-19 infection will be key to early treatment and isolation and the tracing of contacts.</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>
            <elementTextContainer>
              <elementText elementTextId="44525">
                <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="44526">
                <text>10.1371/journal.pone.0237960</text>
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            </elementTextContainer>
          </element>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="44527">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="44528">
                <text>Korean Society of Epidemiology</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="44529">
                <text>Science, Medicine</text>
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        <src>https://www.socictopen.socict.org/files/original/c16d502a1dfe1efbed489d91b5e74761.pdf</src>
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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>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
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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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    <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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              <elementText elementTextId="44530">
                <text>Risk perception of coronavirus disease 2019 (COVID-19) and its related factors among college students in China during quarantine.</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="44531">
                <text>Yani Ding, Xueying Du, Qinmei Li, Miao Zhang, Qingjun Zhang, Xiaodong Tan, Qing Liu</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="44532">
                <text>ObjectiveAt the end of 2019, the outbreak of coronavirus disease 2019 (COVID-19) in Wuhan was a serious threat to public health. This study aimed to evaluate the risk perception of COVID-19 among college students in China during the quarantine, explore its related factors, and provide reference for future study.MethodsThis study invited college students from various provinces of China to participate in the survey through the Internet, and a total of 1,461 college students were included. T-test and analysis of variance were used to explore the relationship between demographic characteristics, social pressure, knowledge and risk perception. Multiple linear regression was used to identify factors associated with risk perception.ResultsThis study shows that college students in China have high risk perception of COVID-19. Female college students (p</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="44533">
                <text>2020</text>
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              <elementText elementTextId="44534">
                <text>10.1371/journal.pone.0237626</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="44535">
                <text>Epidemiology and Health</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="44536">
                <text>Korean Society of Epidemiology</text>
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            </elementTextContainer>
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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>
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                <text>Science, Medicine</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A simulation modelling toolkit for organising outpatient dialysis services during the COVID-19 pandemic.</text>
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            <name>Creator</name>
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                <text>Michael Allen, Amir Bhanji, Jonas Willemsen, Steven Dudfield, Stuart Logan, Thomas Monks</text>
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                <text>This study presents two simulation modelling tools to support the organisation of networks of dialysis services during the COVID-19 pandemic. These tools were developed to support renal services in the South of England (the Wessex region caring for 650 dialysis patients), but are applicable elsewhere. A discrete-event simulation was used to model a worst case spread of COVID-19, to stress-test plans for dialysis provision throughout the COVID-19 outbreak. We investigated the ability of the system to manage the mix of COVID-19 positive and negative patients, the likely effects on patients, outpatient workloads across all units, and inpatient workload at the centralised COVID-positive inpatient unit. A second Monte-Carlo vehicle routing model estimated the feasibility of patient transport plans. If current outpatient capacity is maintained there is sufficient capacity in the South of England to keep COVID-19 negative/recovered and positive patients in separate sessions, but rapid reallocation of patients may be needed. Outpatient COVID-19 cases will spillover to a secondary site while other sites will experience a reduction in workload. The primary site chosen to manage infected patients will experience a significant increase in outpatients and inpatients. At the peak of infection, it is predicted there will be up to 140 COVID-19 positive patients with 40 to 90 of these as inpatients, likely breaching current inpatient capacity. Patient transport services will also come under considerable pressure. If patient transport operates on a policy of one positive patient at a time, and two-way transport is needed, a likely scenario estimates 80 ambulance drive time hours per day (not including fixed drop-off and ambulance cleaning times). Relaxing policies on individual patient transport to 2-4 patients per trip can save 40-60% of drive time. In mixed urban/rural geographies steps may need to be taken to temporarily accommodate renal COVID-19 positive patients closer to treatment facilities.</text>
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            <name>Date</name>
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                <text>2020</text>
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            <name>Identifier</name>
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                <text>10.1371/journal.pone.0237628</text>
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            <name>Source</name>
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                <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="44544">
                <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>Science, Medicine</text>
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