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                <text>Correction: Serological Evidence of MERS-CoV Antibodies in Dromedary Camels (Camelus dromedaries) in Laikipia County, Kenya.</text>
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                <text>[This corrects the article DOI: 10.1371/journal.pone.0140125.].</text>
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                <text>Correction: Vaccine Efficacy in Senescent Mice Challenged with Recombinant SARS-CoV Bearing Epidemic and Zoonotic Spike Variants.</text>
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                <text>Ande West, Mehul Suthar, Boyd Yount, Alan Whitmore, Robert Johnston, Nancy Davis, Amy Sims, Ralph Baric, Damon Deming, Mark Heise, Timothy Sheahan, Jack Harkema, Raymond Pickles, Eric Donaldson, Kristopher Curtis</text>
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                <text>DOI: 10.1371/journal.pmed.0040080</text>
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                <text>CORRELACIÓN ESPACIAL ENTRE MALAS HIERBAS EN UNA PRADERA Y SU RELACIÓN CON LA CONDUCTIVIDAD ELÉCTRICA APARENTE DEL SUELO (CE A )</text>
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                <text>G. M. Siqueira, J. DAFONTE DAFONTE, M. VALCÁRCEL ARMESTO</text>
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                <text>RESUMEN El objetivo de este trabajo fue evaluar la ecología y la correlación lineal y espacial entre malas hierbas de una pradera y su relación con la conductividad eléctrica aparente del suelo (CEa, mS m-1). La toma de muestras se hizo los días: 23/06/2008 (CEa) y el 24/06/2008 (malas hierbas). Los datos fueron analizados por medio de estadística clásica y de herramientas de geoestadística. La mayoría de los datos presentaron distribución de frecuencia logarítmica, siendo necesaria la utilización del krigeado residual. Se encontraron bajos valores de correlación para las medidas de CEa con las mediciones de malas hierbas en el área de estudio, estando las mismas influidas por el relieve del área. Los mapas de variabilidad espacial mostraron que existía relación entre las malas hierbas y los valores de CEa (CEa-V y CEa-H), principalmente con relación al número de especies de malas hierbas, ya que hay un aumento del número de especies cuando se produce disminución de los valores de CEa. Los mapas de variabilidad espacial para las malas hierbas demuestran la dominancia de ciertas especies y el endemismo de otras.</text>
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                <text>Manejo del suelo, Variabilidad espacial, atributos biológicos del suelo, geoestadística, manejo de praderas</text>
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                <text>10.1590/S0100-83582015000400002</text>
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                <text>Planta Daninha</text>
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                <text>Sociedade Brasileira da Ciência das Plantas Daninhas</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>Biology (General), Botany</text>
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                <text>&lt;a href="http://www.scielo.br/pdf/pd/v33n4/0100-8358-pd-33-04-00631.pdf" target="_blank" rel="noreferrer noopener"&gt;http://www.scielo.br/pdf/pd/v33n4/0100-8358-pd-33-04-00631.pdf&lt;/a&gt;</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Correlates of Psychological Distress Among Pakistani Adults During the COVID-19 Outbreak: Parallel and Serial Mediation Analyses</text>
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                <text>Mark D. Griffiths, Farzana Ashraf, Gull Zareen, Gull Zareen, Aasia Nusrat, Amna Arif</text>
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                <text>Objective: The global outbreak of COVID-19 has greatly affected individual's lives around the world and resulted in various negative psychological consequences. During the pandemic, reflection on and attention to COVID-19 may help in dealing with its symptomology but frequent and persistent thoughts about the situation can be unhealthy. The present study examined the direct and indirect associations between obsession concerning COVID-19, psychological distress, life satisfaction, and meaning in life.Design: This mediation study presents a primary analysis of normative data collected after the initial outbreak of COVID-19 in Pakistan. Parametric bootstrapping was used to test the mediation models of subjective well-being, the extent of the effect, and meaning in life as parallel and serial mediators concerning the associations between COVID-19 obsession and psychological distress measures.Setting: A sample of 1,002 adults (45% men and 55% women) were recruited utilizing an online survey between April to May 2020. They were aged between 19 and 45 years (M = 24.30, SD = 7.29) and normalized on population characteristics.Results: Two out of three mediators in parallel mediation fully mediated the relationship between obsession and psychological distress (total effect = 0.443, SE = 0.050, p &amp;lt; 0.0001) illustrating that high-level obsessions were associated with low levels of satisfaction with life and presence of meaning in life and search for meaning in life. Psychological distress is likely to decrease in the presence of a high level of satisfaction with life and meaning. Moreover, satisfaction with life and search for meaning in life significantly mediated the association between COVID-19 obsession (z=-3.507, p &amp;lt; 0.0001 and z = −2.632, p &amp;lt; 0.001 respectively).Conclusion: The present study showed that life satisfaction and search for meaning in life may play a significant role in decreasing psychological distress during the COVID-19 pandemic.</text>
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                <text>psychological distress, Meaning in life, satisfaction with life, pakistani adults, obsessions about COVID-19</text>
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                <text>10.3389/fpsyg.2021.647821</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Sai Chen, Hanting Liu, Tie Li, Rong Huang, Rong Gui, Junhua Zhang</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="81237">
                <text>Background The novel coronavirus disease 2019 (COVID-19) is currently breaking out worldwide. COVID-19 patients may have different degrees of coagulopathy, but the mechanism is not yet clear. We aimed to analyse the relationship between coagulation dysfunction and liver damage in patients with COVID-19. Methods A retrospective analysis of 74 patients with COVID-19 admitted to the First People’s Hospital of Yueyang from 1 January to 30 March 2020 was carried out. According to the coagulation function, 27 cases entered the coagulopathy group and 47 cases entered the control group. A case control study was conducted to analyse the correlation between the occurrence of coagulation dysfunction and liver damage in COVID-19 patients. Results Alanine aminotransferase (ALT) and aspartate aminotransferase (AST), markers of liver damage, were positively correlated with coagulopathy (p = 0.039, OR 2.960, 95% CI 1.055–8.304; and p = 0.028, OR 3.352, 95% CI 1.137–9.187). Alkaline phosphatase (ALP), γ-glutamyl transpeptidase (γ-GT), and total bilirubin (TBIL) were not statistically correlated with coagulopathy. According to the diagnosis and treatment plan, the included cases were classified into mild, moderate, severe, and critical. The results showed that the occurrence of coagulation dysfunction had no statistical correlation with the severity of COVID-19. Conclusion Coagulation dysfunction in patients with COVID-19 is closely related to liver damage. A longer course of the disease may cause a vicious circle of coagulopathy and liver damage. Clinicians need to closely monitor coagulation and liver function tests and to give prophylactic or supportive therapy when needed.</text>
              </elementText>
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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="81238">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="81239">
                <text>covid-19, pneumonia, SARS-CoV-2, liver damage, blood coagulation dysfunction</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="81240">
                <text>10.1080/03009734.2020.1822960</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="81241">
                <text>Upsala Journal of Medical Sciences</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="81242">
                <text>Upsala Medical Society</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="81243">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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  </item>
  <item itemId="6303" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/7f6b5b8c39802005b983c7abb4e52911.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>
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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>
    </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="56083">
                <text>Correlation and Causation Analysis Between COVID-19 and Environmental Factors in China</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56084">
                <text>Zuofang Zheng, Junxia Dou, Conglan Cheng, Hua Gao</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56085">
                <text>Coronavirus disease 2019 (COVID-19) is seriously threatening and altering human society. Although prevention and control measures play an important role in preventing the transmission of severe acute respiratory syndrome coronavirus, signals of climate impact can still be detected globally. In this paper, the data of 265 cities in China were analyzed. The results show that the correlations between COVID-19 and air quality index (AQI) and PM2.5 concentration were very weak and that the correlations between COVID-19 and meteorological factors were significantly different in different climate backgrounds. So, a fixed model is not enough to describe the correlations. Overall, high humidity, low wind speed, and relatively lower air temperature are conducive to the spread of COVID-19. The climate background suitable for the spread of COVID-19 in China is air temperature 0~15°C, specific humidity &amp;lt;3 g kg−1, and wind speed &amp;lt;3 m s−1. The Granger causality test shows that there is a causal relationship between daily average air temperature and the number of COVID-19 confirmed cases in some cities of China, and air temperature is indicative of the number of confirmed cases the next day. However, this phenomenon is not universal due to regional climate differences.</text>
              </elementText>
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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="56086">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56087">
                <text>China, covid-19, correlation, Environmental conditions, causation analysis</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="56088">
                <text>10.3389/fclim.2021.619338</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="56089">
                <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="56090">
                <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="56091">
                <text>Environmental sciences</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="5506" public="1" featured="0">
    <fileContainer>
      <file fileId="5506">
        <src>https://www.socictopen.socict.org/files/original/02d34bd1fd33f37e055334f291367d89.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="49274">
                <text>Correlation between age, sex, and severity of Coronavirus disease-19 based on chest computed tomography severity scoring system</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49275">
                <text>Shimaa Farghaly, Marwa Makboul</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49276">
                <text>Abstract Background Coronavirus disease 2019 (COVID-19) is the most recent global health emergency; early diagnosis of COVID-19 is very important for rapid clinical interventions and patient isolation; chest computed tomography (CT) plays an important role in screening, diagnosis, and evaluating the progress of the disease. According to the results of different studies, due to high severity of the disease, clinicians should be aware of the different potential risk factors associated with the fatal outcome, so chest CT severity scoring system was designed for semi-quantitative assessment of the severity of lung disease in COVID-19 patients, ranking the pulmonary involvement on 25 points severity scale according to extent of lung abnormalities; this study aims to evaluate retrospectively the relationship between age and severity of COVID-19 in both sexes based on chest CT severity scoring system. Results Age group C (40–49 year) was the commonest age group that was affected by COVID-19 by 21.3%, while the least affected group was group F (≥ 70 years) by only 6.4%. As regards COVID-RADS classification, COVID-RADS-3 was the most commonly presented at both sexes in all different age groups. Total CT severity lung score had a positive strong significant correlation with the age of the patient (r = 0.64, P &lt; 0.001). Also, a positive strong significant correlation was observed between CT severity lung score and age in both males and females (r = 0.59, P &lt; 0.001) and (r = 0.69, P &lt; 0.001) respectively. Conclusion We concluded that age can be considered as a significant risk factor for the severity of COVID-19 in both sexes. Also, CT can be used as a significant diagnostic tool for the diagnosis of COVID-19 and evaluation of the progression and severity of the disease.</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="49277">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49278">
                <text>coronavirus disease, computed tomography, Computed tomography severity score, Coronavirus disease imaging reporting system</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="49279">
                <text>10.1186/s43055-021-00408-1</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="49280">
                <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="49281">
                <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="49282">
                <text>Medical physics. Medical radiology. Nuclear medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="10187" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/bdf286f75f0f00c0d81a254f725273c5.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="84906">
                <text>Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="84907">
                <text>Sachiko Kodera, Akimasa Hirata, Essam A. Rashed</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="84908">
                <text>This study analyzed the morbidity and mortality rates of the coronavirus disease (COVID-19) pandemic in different prefectures of Japan. Under the constraint that daily maximum confirmed deaths and daily maximum cases should exceed 4 and 10, respectively, 14 prefectures were included, and cofactors affecting the morbidity and mortality rates were evaluated. In particular, the number of confirmed deaths was assessed, excluding cases of nosocomial infections and nursing home patients. The correlations between the morbidity and mortality rates and population density were statistically significant (p-value &lt; 0.05). In addition, the percentage of elderly population was also found to be non-negligible. Among weather parameters, the maximum temperature and absolute humidity averaged over the duration were found to be in modest correlation with the morbidity and mortality rates. Lower morbidity and mortality rates were observed for higher temperature and absolute humidity. Multivariate linear regression considering these factors showed that the adjusted determination coefficient for the confirmed cases was 0.693 in terms of population density, elderly percentage, and maximum absolute humidity (p-value</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="84909">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="84910">
                <text>covid-19, Japan, morbidity rate, temperature, mortality rate, absolute humidity</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="84911">
                <text>10.3390/ijerph17155477</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="84912">
                <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="84913">
                <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="84914">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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  <item itemId="3724" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/7c0df4483e41288cfb2283c263ddfdec.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="34265">
                <text>Correlation between Preventive Health Behaviors and Psycho-Social Health Based on the Leisure Activities of South Koreans in the COVID-19 Crisis</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34266">
                <text>Young-Jae Kim, Jeong-Hyung Cho</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34267">
                <text>COVID-19 has caused unprecedented damage worldwide, and quarantine and lockdown measures have been undertaken globally. This study focused on the differences in preventive behaviors and psycho-social health of South Koreans, as people continue engaging in leisure activities under self-regulation without a lockdown measure imposed by the government. For the sample, the frame of the “2018 Population and Housing Census” in South Korea was applied, and data from 1770 people were analyzed. The results showed that the groups participating in culture and arts and social activities displayed characteristics with high prevention. Additionally, the groups that continued leisure activities for more than five years and with family showed high preventive behaviors. Meanwhile, participation in leisure activities with friends of the opposite sex lowered preventive behavior. In terms of psycho-social health, all groups were affiliated to the potential stress group and there were no differences in the period and participation time for leisure activities. Furthermore, the group participating in leisure activities with their school and group experienced psychological stability. When lockdown measures are eased, the aforementioned characteristics should be considered to design government policy; they can also be used as a reference for public health in case of a future outbreak of an epidemic.</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="34268">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34269">
                <text>Mental health, leisure, Social Health, COVID-19, preventative health behavior</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="34270">
                <text>DOI: 10.3390/ijerph17114066</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="34271">
                <text>International Journal of Environmental Research and 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="34272">
                <text>MDPI AG</text>
              </elementText>
            </elementTextContainer>
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                <text>Correlation Between Temperature and COVID-19 (Suspected, Confirmed and Death) Cases based on Machine Learning Analysis</text>
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                <text>Ruben Morales-Menendez, Hafiz  M. N. Iqbal, Pradeep Kumar Gupta, Fida Hussain, Sultan Ahmad, Mohammad Khubeb Siddiqui, Khudeja Khatoon</text>
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                <text>Currently, the whole world is struggling with the biggest health problem COVID-19 name coined bythe World Health Organization (WHO). This was raised from China in December 2019. This pandemicis going to change the world. Due to its communicable nature, it is contagious to both medically andeconomically. Though different contributing factors are not known yet. Herein, an effort has beenmade to find the correlation between temperature and different cases situation (suspected, confirmed,and death cases). For a said purpose, k-means clustering-based machine learning method has beenemployed on the data set from different regions of China, which has been obtained from the WHO.The novelty of this work is that we have included the temperature field in the original WHO data setand further explore the trends. The trends show the effect of temperature on each region in threedifferent perspectives of COVID-19 – suspected, confirmed and death.</text>
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                <text>machine learning, coronavirus, K-Means Clustering, COVID-19</text>
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                <text>DOI: 10.22207/JPAM.14.SPL1.40</text>
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                <text>Journal of Pure and Applied Microbiology</text>
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                <text>Journal of Pure and Applied Microbiology</text>
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                <text>Microbiology</text>
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