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                  <text>Dominio científico: Coronavirus</text>
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                <text>Accompanying the evolution  of the COVID-19 pandemic. A look from Cienfuegos.</text>
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                <text>Alfredo Darío Espinosa Brito</text>
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                <text>A vision is presented on the progress of the COVID-19 pandemic from Cienfuegos, after just over two months of having identified the first case in Cuba. Main aspects related to Public Health, epidemiology and clinic related to this disease are described and analyzed. A group of lessons learned so far are discussed, for now and later.</text>
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                <text>2020</text>
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                <text>Epidemiología, salud pública, infecciones por coronavirus, Clínica</text>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Public aspects of medicine, Medicine (General)</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Health sufficiency and COVID-19</text>
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                <text>Javier M. Moguerza, Salvador Perelló Oliver, Isaac Martín de Diego, Victor Aceña, Marina Cuesta, Carmen Lancho, César González Fernández</text>
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                <text>Covid-19 is an infectious and highly contagious disease that is spread through contact or proximity when an infected person coughs or sneezes. According to recent studies, lethality caused by COVID-19 is not high, but due to the ease of transmission, dissemination and contagion, this disease has caused a worldwide pandemic status. As a result, health systems in all the affected countries have collapsed. Given the difficulties to obtain the features of any country all around the world, it is essential to design indicators capable of comparing the state of the systems and evaluating their evolution, according to the incidence and mortality of the disease in the population. This work presents the Health Sufficiency Indicator (HSI), in its accumulated and daily versions, which allows to evaluate the capacity of a health system to give response to the corresponding needs arising from a pandemic. This indicator is useful to compare the development of the disease among countries with the available data. In addition, other common indicators relation to the number of cases, number of deaths and number of discharges are analyzed. Finally, the HSI is used to estimate the development of the disease and its impact on the Spanish health system, both on national and regional levels.</text>
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                <text>2020</text>
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                <text>covid-19, indicadores, suficiencia, sanidad, Saturación</text>
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                <text>10.17502/m.rcs.v8i1.349</text>
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                <text>methaodos.revista de ciencias sociales</text>
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                <text>Universidad Rey Juan Carlos</text>
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                <text>Sociology (General), Social Sciences</text>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
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                <text>Online Teaching and Learning in Higher Education DzURING the Coronavirus Pandemic: Students’ Perspective</text>
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                <text>Claudiu Coman, Laurențiu  Gabriel Țîru, Luiza Meseșan-Schmitz, Carmen Stanciu, Maria  Cristina Bularca</text>
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                <text>The research focuses on identifying the way in which Romanian universities managed to provide knowledge during the Coronavirus pandemic, when, in a very short time, universities had to adapt the educational process for exclusively online teaching and learning. In this regard, we analyzed students’ perception regarding online learning, their capacity to assimilate information, and the use of E-learning platforms. An online survey based on a semi-structured questionnaire was conducted. Data was collected from 762 students from two of the largest Romanian universities. The results of the research revealed that higher education institutions in Romania were not prepared for exclusively online learning. Thus, the advantages of online learning identified in other studies seem to diminish in value, while disadvantages become more prominent. The hierarchy of problems that arise in online learning changes in the context of the crisis caused by the pandemic. Technical issues are the most important, followed by teachers’ lack of technical skills and their teaching style improperly adapted to the online environment. However, the last place was assigned by students to the lack of interaction with teachers or poor communication with them. Based on these findings, research implications for universities and researchers are discussed.</text>
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                <text>2020</text>
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                <text>higher education, Online teaching, e-learning platform, students’ preferences, online information assimilation</text>
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                <text>10.3390/su122410367</text>
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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>Environmental effects of industries and plants, Renewable energy sources, Environmental sciences</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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                <text>Assessing City Governance for Low-Carbon Mobility in London</text>
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                <text>Paul Drummond</text>
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                <text>City-level decisions are crucial for delivering a low carbon transition, particularly as urban population dynamics and environments change in response to the COVID-19 pandemic. Ensuring appropriate governance structures, mechanisms and resources to facilitate these decisions is therefore essential. Based on a systematic literature review by van der Heijden (2019), this paper develops a simple framework to assess the state of ten enabling factors for effective urban climate governance, and applies it to low-carbon passenger mobility in London. Drawing on documentary evidence and a series of semi-structured expert interviews, it finds that London’s city authorities have a strong capacity for autonomy, stakeholder participation, local leadership and coordination on climate action and mobility, of which they make extensive use. The national legal and political framework remains broadly supportive following the UK’s departure from the EU, but multi-level co-ordination is thin, and funding issues have intensified conflict over political jurisdiction since the pandemic began. Spatial variation in urban form and infrastructure, coupled with dual-layer city administration, complicate the socio-political landscape and drive for climate action in mobility.</text>
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                <text>2021</text>
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                <text>climate change, local government, urban transport, climate governance</text>
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                <text>10.3390/su13052480</text>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Environmental effects of industries and plants, Renewable energy sources, Environmental sciences</text>
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                <text>Self-Collected versus Healthcare Worker-Collected Swabs in the Diagnosis of Severe Acute Respiratory Syndrome Coronavirus 2</text>
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                <text>Johan  H. Therchilsen, Christian von Buchwald, Anders Koch, Susanne Dam Nielsen, Daniel  B. Rasmussen, Rebekka  Faber Thudium, Nikolai  S. Kirkby, Daniel  E. T. Raaschou-Pedersen, Johan  S. Bundgaard, Kasper Iversen, Henning Bundgaard, Tobias Todsen</text>
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                <text>The aim of this study was to compare the sensitivity of self-collected versus healthcare worker (HCW)-collected swabs for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) testing. Symptomatic individuals referred for SARS-CoV-2 testing were invited to provide mobile-phone video-instructed self-collected oropharyngeal and nasal samples followed by a HCW-collected oropharyngeal sample. All samples were sent for analysis to the same microbiology laboratory, and the number of SARS-CoV-2-positive participants in the two tests was compared. A total of 109 participants were included, and 19 participants had SARS-CoV-2-positive results. The diagnostic sensitivity of the self-collected and HCW-collected swabs was 84.2% and 89.5%, respectively, with an acceptable agreement, Cohens kappa 0.82, p &lt; 0.001. Further, results from a questionnaire answered by the participants found that loss of smell as a self-reported symptom was a strong predictor for a SARS-CoV-2-positive test. In conclusion, we found that self-collected oropharyngeal and nasal swabs for SARS-CoV-2 testing can be reliable compared to HCW-collected oropharyngeal samples.</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="42374">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42375">
                <text>covid-19, severe acute respiratory syndrome coronavirus 2, covid-19 diagnostic testing</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="42376">
                <text>10.3390/diagnostics10090678</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="42377">
                <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="42378">
                <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="42379">
                <text>Medicine (General)</text>
              </elementText>
            </elementTextContainer>
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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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              </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>
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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>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42362">
                <text>Epidemiological and clinical features of 2019 novel coronavirus diseases (COVID-19) in the South of Iran</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="42363">
                <text>Reza Shahriarirad, Zohre Khodamoradi, Amirhossein Erfani, Hamidreza Hosseinpour, Keivan Ranjbar, Yasaman Emami, Alireza Mirahmadizadeh, Mehrzad Lotfi, Babak Shirazi Yeganeh, Abolfazl Dorrani Nejad, Abdolrasool Hemmati, Mostafa Ebrahimi, Mohsen Moghadami</text>
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          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="42364">
                <text>Abstract Background In March 2020, the WHO declared the novel coronavirus (COVID-19) outbreak a global pandemic. Although the number of infected cases is increasing, information about its clinical characteristics in the Middle East, especially in Iran, a country which is considered to be one of the most important focal points of the disease in the world, is lacking. To date, there is no available literature on the clinical data on COVID-19 patients in Iran. Methods In this multicenter retrospective study, 113 hospitalized confirmed cases of COVID-19 admitted to university affiliated hospitals in Shiraz, Iran from February 20 to March 20 were entered in the study. Results The mean age was 53.75 years and 71 (62.8%) were males. The most common symptoms at onset were fatigue (75: 66.4%), cough (73: 64.6%), and fever (67: 59.3%). Laboratory data revealed significant correlation between lymphocyte count (P value = 0.003), partial thromboplastin time (P value = 0.000), international normalized ratio (P value = 0.000) with the severity of the disease. The most common abnormality in chest CT scans was ground-glass opacity (77: 93.9%), followed by consolidation (48: 58.5%). Our results revealed an overall 8% (9 out of 113 cases) mortality rate among patients, in which the majority was among patients admitted to the ICU (5: 55.6%). Conclusion Evaluating the clinical data of COVID-19 patients and finding the source of infection and studying the behavior of the disease is crucial for understanding the pandemic.</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="42365">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42366">
                <text>clinical characteristics, Iran, covid-19</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="42367">
                <text>10.1186/s12879-020-05128-x</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="42368">
                <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="42369">
                <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="42370">
                <text>Infectious and parasitic diseases</text>
              </elementText>
            </elementTextContainer>
          </element>
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  </item>
  <item itemId="4688" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/289dc739f7e0c8bdd3b650fd201b633a.pdf</src>
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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>
          <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="42354">
                <text>Merits and Demerits of COVID-19 Vaccines</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42355">
                <text>Nessrin A. El-Nimr</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42356">
                <text>The COVID-19 pandemic caused by the novel coronavirus (SARS-CoV-2) continues to reshape the globe. It is more than a year since the virus first emerged, yet the vast majority of people are still vulnerable. The current response to the COVID-19 pandemic involves aggressive implementation of containment, suppression, and mitigation strategies causing devastating social, economic and political crises. The restrictions on our lives are the only thing holding the virus in check. The world cannot return to normal without safe and effective vaccines against COVID-19 along with a coordinated global vaccination program. Vaccines remain the safest, most cost-effective protection against disease. Unprecedented data sharing and collaborative team efforts are breaking down barriers in an attempt to reduce the time of vaccine development. An ideal COVID-19 vaccine should be safe, provide long-lasting protection, protect not only against disease but prevent virus transmission to others, be able to be produced quickly and in large quantities, be easily stored, transported and administered. The global COVID-19 vaccine pipeline is currently expanding on a daily basis. Multiple platforms are being used for producing vaccines at pandemic speed. Each platform has its own merits, demerits and challenges and it is unlikely that any single platform on its own will constitute a solution for the ongoing COVID-19 pandemic.</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="42357">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42358">
                <text>vaccines, covid-19</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="42359">
                <text>Journal of High Institute of Public Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="42360">
                <text>Alexandria University</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="42361">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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  </item>
  <item itemId="4687" public="1" featured="0">
    <fileContainer>
      <file fileId="4687">
        <src>https://www.socictopen.socict.org/files/original/fc5c24916b013e1f3282e20b17783d69.pdf</src>
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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>
          <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>
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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="42345">
                <text>COVID‐19 Pandemic Response in Japan: What Is behind the Initial Flattening of the Curve?</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42346">
                <text>Ai Tashiro, Rajib Shaw</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42347">
                <text>The new coronavirus disease (COVID‐19) emerged in December 2019 and became a global pandemic in March 2020. The unprecedented speed of SARS-CoV2 spread, the high infection rate among the aged population, and the collapse of healthcare systems in several countries have made COVID‐19 the worst “modern” pandemic. Despite its proximity to China, a large aged population, and a high urban density, Japan has mitigated successfully the initial catastrophic impacts of COVID‐19. This paper analyzed the key policy measures undertaken in Japan and suggests that Japan's culture, healthcare system, sanitation, immunity, and food habits, along with citizens' behavior, are the possible reasons for the successful flattening of the curve. Although additional disease peaks may occur, and a consequent increase in the number of affected individuals, a combination of policy, good governance, a healthy society, and good citizen behaviors’ should be sufficient to provide enough time for the health care system to cope with them. Cluster approach, science-based decision making, and scenario planning were some of the key policy decisions taken by the government. Based on the lessons from Japan, this paper suggests the importance of an ecosystem-based lifestyle as a potential way to cope with pandemic events.</text>
              </elementText>
            </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="42348">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42349">
                <text>ecosystem approach, Scenario Planning, cluster approach, crowded space, expert advice, 3C approach (closed space</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="42350">
                <text>10.3390/su12135250</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="42351">
                <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="42352">
                <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="42353">
                <text>Environmental effects of industries and plants, Renewable energy sources, Environmental sciences</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="4686" public="1" featured="0">
    <fileContainer>
      <file fileId="4686">
        <src>https://www.socictopen.socict.org/files/original/2b2f77dad7c9c7b3f24923bf7414c983.pdf</src>
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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>
          <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>
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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="42336">
                <text>Solutions of Ternary Problems of Conditional Probability with Applications to Mathematical Epidemiology and the COVID-19 Pandemic</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="42337">
                <text>Ali Muhammad Ali Rushdi, Hamzah Abdul Majid Serag</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42338">
                <text>A normalized version of the ubiquitous two-by-two contingency matrix is associated with a variety of marginal, conjunctive, and conditional probabilities that serve as appropriate indicators in diagnostic testing. If this matrix is enhanced by being interpreted as a probabilistic Universe of Discourse, it still suffers from two inter-related shortcomings, arising from lack of length/area proportionality and a potential misconception concerning a false assumption of independence between the two underlying events. This paper remedies these two shortcomings by modifying this matrix into a new Karnaugh-map-like diagram that resembles an eikosogram. Furthermore, the paper suggests the use of a pair of functionally complementary versions of this diagram to handle any ternary problem of conditional probability. The two diagrams split the unknowns and equations between themselves in a fashion that allows the use of a divide-and-conquer strategy to handle such a problem. The method of solution is demonstrated via four examples, in which the solution might be arithmetic or algebraic, and independently might be numerical or symbolic. In particular, we provide a symbolic arithmetic derivation of the well-known formulas that express the predictive values in terms of prevalence, sensitivity and specificity. Moreover, we prove a virtually unknown interdependence among the two predictive values, sensitivity, and specificity. In fact, we employ a method of symbolic algebraic derivation to express any one of these four indicators in terms of the other three. The contribution of this paper to the diagnostic testing aspects of mathematical epidemiology culminates in a timely application to the estimation of the true prevalence of the contemporary world-wide COVID-19 pandemic. It turns out that this estimation is hindered more by the lack of global testing world-wide rather than by the unavoidable imperfection of the available testing methods.</text>
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          <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="42339">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42340">
                <text>covid-19, Mathematical epidemiology, Conditional probability, divide-and-conquer, imperfect testing, ternary problem, length/area proportionality, probabilistic dependence</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="42341">
                <text>10.33889/IJMEMS.2020.5.5.062</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="42342">
                <text>International Journal of Mathematical, Engineering and Management Sciences</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="42343">
                <text>International Journal of Mathematical, Engineering and Management Sciences</text>
              </elementText>
            </elementTextContainer>
          </element>
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                <text>Mathematics, Technology</text>
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        <src>https://www.socictopen.socict.org/files/original/8dbf657f980d8ab97a1c6d9041f93e7a.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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                  <text>Dominio científico: Coronavirus</text>
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                <text>Online Professional Learning in Response to COVID-19—Towards Robust Evaluation</text>
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            <name>Creator</name>
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                <text>Alireza Ahadi, Matt Bower, Abhay Singh, Michael Garrett</text>
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                <text>As COVID-19 continues to impact upon education worldwide, systems and organizations are rapidly transiting their professional learning to online mode. This raises concerns, not simply about whether online professional learning can result in equivalent outcomes to face-to-face learning, but more importantly about how to best evaluate online professional learning so we can iteratively improve our approaches. This case study analyses the evaluation of an online teacher professional development workshop for the purpose of critically reflecting upon the efficacy of workshop evaluation techniques. The evaluation approach was theoretically based in a synthesis of six seminal workshop evaluation models, and structured around eight critical dimensions of educational technology evaluation. The approach involving collection of pre-workshop participant background information, pre-/post-teacher perceptions data, and post-workshop focus group perceptions, enabled the changes in teacher knowledge, skills, and beliefs to be objectively evaluated, at the same time as providing qualitative information to effectively improve future iterations of the workshops along a broad range of dimensions. The evaluation approach demonstrated that the professional learning that was shifted into online mode in response to COVID-19 could unequivocally result in significant improvements to professional learning outcomes. More importantly, the evaluation approach is critically contrasted with previous evaluation models, and a series of recommendations for the evaluation of technology-enhanced teacher professional development workshops are proposed.</text>
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            <name>Date</name>
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                <text>2021</text>
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            <name>Subject</name>
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                <text>covid-19, professional development, technology-enhanced teaching, evaluation frameworks</text>
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                <text>10.3390/fi13030056</text>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
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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>Information technology</text>
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