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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>La efectuación de los cuerpos en dos conflictos ambientales en Argentina: afectados ambientales y discursos de verdad = A produção dos corpos em dois conflitos ambientais na Argentina: afetados ambientais e discursos de verdade = The production of bodies in two environmental conflicts in Argentina: environmental affects and truth speeches</text>
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                <text>Saccucci, Erika</text>
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                <text>Neste artigo temos estudado o conflito que se produz em torno dos discursos científicos como discursos de poder em dois conflitos ambientais na cidade de Córdoba, Argentina - Pueblos Unidos e Vudas contra a empresa Porta. Trabalhou-se com 20 entrevistas em profundidade combinando técnicas da análise de conteúdo e análise de discurso. Na análise emergem duas configurações corporais: por um lado, a de afetados ambientais que refere aos corpos contami-nados e à conflituosa relação com o discurso científico que, articulado com os interesses do capital, não dá conta da condição que apresentam os corpos. Por outro lado, reivindica-se a existência de corpos sãos, livres de contaminação e denuncia-se ao discurso científico por manipular os estudos, a fim de sustentar a ideia de contaminação. Em conclusão, o discurso científico funciona como discurso de poder que atravessa as lutas. A diferente configuração de corpos em cada caso explica-se como efetuação da singular articulação que se produziu entre as diversas frações do capital e o discurso científico</text>
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                <text>argentina - condições sociais, ecología, meio ambiente - contaminação</text>
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                <text>Civitas - Revista de Ciências Sociais</text>
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                <text>Pontifícia Universidade Católica do Rio Grande do Sul (EDIPUCRS)</text>
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                <text>Social sciences (General)</text>
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                <text>&lt;a href="https://revistaseletronicas.pucrs.br/ojs/index.php/civitas/article/view/32007/26179" target="_blank" rel="noreferrer noopener"&gt;https://revistaseletronicas.pucrs.br/ojs/index.php/civitas/article/view/32007/26179&lt;/a&gt;</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Sachiko Kodera, Akimasa Hirata, Essam A. Rashed</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <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>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>covid-19, Japan, morbidity rate, temperature, mortality rate, absolute humidity</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>10.3390/ijerph17155477</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="84912">
                <text>Epidemiology and Health</text>
              </elementText>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="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>
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                <text>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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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </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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      <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="17878">
                <text>Temperature elevation in the human brain and skin with thermoregulation during exposure to RF energy</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="17879">
                <text>Sachiko Kodera, José Gómez-Tames, Akimasa Hirata</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Abstract Background Two international guidelines/standards for human protection from electromagnetic fields define the specific absorption rate (SAR) averaged over 10 g of tissue as a metric for protection against localized radio frequency field exposure due to portable devices operating below 3–10 GHz. Temperature elevation is suggested to be a dominant effect for exposure at frequencies higher than 100 kHz. No previous studies have evaluated temperature elevation in the human head for local exposure considering thermoregulation. This study aims to discuss the temperature elevation in a human head model considering vasodilation, to discuss the conservativeness of the current limit. Methods This study computes the temperature elevations in an anatomical human head model exposed to radiation from a dipole antenna and truncated plane waves at 300 MHz–10GHz. The SARs in the human model are first computed using a finite-difference time-domain method. The temperature elevation is calculated by solving the bioheat transfer equation by considering the thermoregulation that simulates the vasodilation. Results The maximum temperature elevation in the brain appeared around its periphery. At exposures with higher intensity, the temperature elevation became larger and reached around 40 °C at the peak SAR of 100 W/kg, and became lower at higher frequencies. The temperature elevation in the brain at the current limit of 10 W/kg is at most 0.93 °C. The effect of vasodilation became notable for tissue temperature elevations higher than 1–2 °C and for an SAR of 10 W/kg. The temperature at the periphery was below the basal brain temperature (37 °C). Conclusions The temperature elevation under the current guideline for occupational exposure is within the ranges of brain temperature variability for environmental changes in daily life. The effect of vasodilation is significant, especially at higher frequencies where skin temperature elevation is dominant.</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="17881">
                <text>2018</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Human safety, Safety guidelines, Computational dosimetry, vasodilation, bioheat equation</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.1186/s12938-017-0432-x</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>BioMedical Engineering OnLine</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>BMC</text>
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                <text>Medical technology</text>
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                <text>EN</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>Influence of Absolute Humidity, Temperature and Population Density on COVID-19 Spread and Decay Durations: Multi-Prefecture Study in Japan</text>
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                <text>Sachiko Kodera, Jose Gomez-Tames, Akimasa Hirata, Essam A. Rashed</text>
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                <text>This study analyzed the spread and decay durations of the COVID-19 pandemic in different prefectures of Japan. During the pandemic, affordable healthcare was widely available in Japan and the medical system did not suffer a collapse, making accurate comparisons between prefectures possible. For the 16 prefectures included in this study that had daily maximum confirmed cases exceeding ten, the number of daily confirmed cases follow bell-shape or log-normal distribution in most prefectures. A good correlation was observed between the spread and decay durations. However, some exceptions were observed in areas where travelers returned from foreign countries, which were defined as the origins of infection clusters. Excluding these prefectures, the population density was shown to be a major factor, affecting the spread and decay patterns, with R2 = 0.39 (p</text>
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                <text>2020</text>
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                <text>covid-19, population density, temperature, absolute humidity, spread and decay durations</text>
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            <name>Identifier</name>
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                <text>10.3390/ijerph17155354</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>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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                <text>Lessons from COVID-19 in India: Extended lockdowns – At what cost?</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33397">
                <text>Sachin Ramchandra Atre</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="33398">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
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            <name>Identifier</name>
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              <elementText elementTextId="33399">
                <text>DOI: 10.4103/mjdrdypu.mjdrdypu_245_20</text>
              </elementText>
            </elementTextContainer>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="33400">
                <text>Medical Journal of Dr. D.Y. Patil Vidyapeeth</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="33401">
                <text>Wolters Kluwer Medknow Publications</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
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          <name>Dublin Core</name>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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      </elementSetContainer>
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    <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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="24788">
                <text>Impact of international travel dynamics on domestic spread of 2019-nCoV in India: origin-based risk assessment in importation of infected travelers</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="24789">
                <text>Sachin S. Gunthe, Satya S. Patra</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="24790">
                <text>Abstract The recent pandemic caused by the 2019 outbreak of novel coronavirus (2019-nCoV or COVID-19) has affected more than 3.0 million people resulting ~ 212,000 deaths across 215 countries/territories as on 28th April 2020. The importation of the cases owing to enormous international travels from the affected countries is the foremost reason for local cycle of transmission. For a country like India, the second most populous country in the world with ~ 1.35 billion population, the management and control of 2019-nCoV domestic spread heavily relied on effective screening and strict quarantine of passengers arriving at various international airports in India from affected countries. Here, by extracting the data from FLIRT, an online airline database for more than 800 airlines, and scanning more than 180,000 flights and 39.9 million corresponding passenger seats during 4th – 25th March, we show that India experienced the highest risk index of importing the passengers from middle eastern airports. Contrary to perception, travelers from China imposed lowest risk of importing the infected cases in India. This is clearly evident form the fact that while the number of infected cases were on the peak in China India was one of the least affected countries. The number of cases in India started exhibiting a sharp increase in the infected cases only after the European countries and USA recorded large number of infected cases. We further argue that while the number of cases in middle eastern countries may still be very low, the airports in middle eastern countries, particularly Dubai, being one of the largest transit hubs for international passengers, including arriving in India, might have posed a higher risk of getting infected with 2019-nCoV. We suggest that any future travel related disease infection screening at the airports should critically assess the passengers from major transit hubs in addition to affected country of origin.</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="24791">
                <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="24792">
                <text>India, airport screening, COVID-19, Travel risk assessment</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="24793">
                <text>DOI: 10.1186/s12992-020-00575-2</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="24794">
                <text>Globalization 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="24795">
                <text>BMC</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="24796">
                <text>Public aspects of medicine</text>
              </elementText>
            </elementTextContainer>
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        <src>https://www.socictopen.socict.org/files/original/c8ccb112a75c9084c3a871c32d5da29d.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>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </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="12491">
                <text>Evaluation of the Association between Air Pollutants and Number of Cases with Severe Acute Respiratory Syndrome Recorded at Emergency Medical Centers in Tehran, Iran in 2013</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12492">
                <text>sadegh khazaei, Saeed Motesaddi, Koorosh Etemad, Yousef Rashidi, hamid Gheibipoor, Marzieh Rohani</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12493">
                <text>Introduction and purpose: Air pollution is an important risk factor for the&amp;nbsp;environment and public health, associated with increased severity of respiratory&amp;nbsp;diseases. This study aimed to evaluate the association between various air pollutants&amp;nbsp;and number of cases with severe acute respiratory syndrome referred to emergency&amp;nbsp;medical centers in Tehran, Iran in 2013.&amp;nbsp;Methods: In this ecological study, the relationship between air pollution and acute&amp;nbsp;respiratory symptoms in patients referred to the emergency centers of Tehran in&amp;nbsp;2013 was assessed. In total, 36787 patients with acute respiratory symptoms has&amp;nbsp;been registered in these centers. Data on the number of cases with acute respiratory&amp;nbsp;symptoms and air pollutants of emergency centers and air quality monitoring&amp;nbsp;stations were collected. Moreover, Poisson regression was used to assess the&amp;nbsp;relationship between air pollutant concentrations (PM2.5, SO2, NO2, O3, CO) and&amp;nbsp;the number of cases with severe acute respiratory syndrome.&amp;nbsp;Results: The results of the current study demonstrated that CO (weekly average&amp;nbsp;IRR=1.1) and SO2 (three days average IRR=1.03 and weekly average IRR= 1.04)&amp;nbsp;increased the risk of respiratory diseases 10%, 3%, and 4%, respectively. Consequently,&amp;nbsp;longer duration of pollutants would increase the risk of respiratory syndromes.&amp;nbsp;Conclusion: According to the results of this study, increased air pollutant&amp;nbsp;concentrations could be associated with escalated number of patients with acute&amp;nbsp;respiratory symptoms referred to the emergency medical centers in Tehran.</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="12494">
                <text>2016</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12495">
                <text>air pollution, Respiratory disease, Tehran</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="12496">
                <text>DOI: </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="12497">
                <text>تحقیقات سلامت در جامعه</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="12498">
                <text>Mazandaran University of Medical Sciences</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="12499">
                <text>Public aspects of medicine, Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12500">
                <text>FA</text>
              </elementText>
            </elementTextContainer>
          </element>
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  <item itemId="5284" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/28aebdcd90b490bfda310339c359bbe9.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>
    </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="47367">
                <text>COVID-19 (Coronavirus Disease 2019): A New Coronavirus Disease</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47368">
                <text>Sadeghi Dousari A, Taati Moghadam M, Satarzadeh N</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47369">
                <text>Amin Sadeghi Dousari,1 Majid Taati Moghadam,2,3 Naghmeh Satarzadeh4,5 1Department of Microbiology, School of Medicine, Jiroft University of Medical Sciences, Jiroft, Iran; 2Department of Microbiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran; 3Student Research Committee, Iran University of Medical Sciences, Tehran, Iran; 4Student Research Committee, Faculty of Pharmacy, Kerman University of Medical Sciences, Kerman, Iran; 5Department of Pharmaceutical Biotechnology, Faculty of Pharmacy, Kerman University of Medical Sciences, Kerman, IranCorrespondence: Naghmeh SatarzadehStudent Research Committee, Faculty of Pharmacy, Kerman University of Medical Sciences, Kerman, IranTel +989363699045Email n.satarzadeh@kmu.ac.irAbstract: Coronavirus disease 2019 (COVID-19) is a type of viral pneumonia with an uncommon outbreak in Wuhan, China, in December 2019, which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). SARS-CoV-2 is extremely contagious and has resulted in a fast pandemic of COVID-19. Currently, COVID-19 is on the rise around the world, and it poses a severe threat to public health around the world. This review provides an overview about the COVID-19 virus to increase public awareness and understanding of the virus and its consequences in terms of history, epidemiology, structure, genome, clinical symptoms, diagnosis, prevention, and treatment.Keywords: novel coronavirus, coronavirus disease 2019, COVID-19, SARS-CoV-2</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="47370">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47371">
                <text>covid-19, novel coronavirus, SARS-CoV-2, Coronavirus disease 2019</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="47372">
                <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="47373">
                <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="47374">
                <text>Infectious and parasitic diseases</text>
              </elementText>
            </elementTextContainer>
          </element>
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  </item>
  <item itemId="7139" public="1" featured="0">
    <fileContainer>
      <file fileId="7139">
        <src>https://www.socictopen.socict.org/files/original/db68ae2bcdad9aef54b85c611caf2534.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>
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              </elementTextContainer>
            </element>
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    <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="62849">
                <text>Effect of COVID-19 pandemic on air quality: a study based on Air Quality Index.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="62850">
                <text>Sadhan Gope, Subhojit Dawn, Shreya Shree Das</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="62851">
                <text>The COVID-19 pandemic has significantly affected economic activities all around the world. Though it took a huge amount of human breathes as well as increases unemployment, it puts a positive impression on the environment. To stop the speedy extend of this disease, the maximum Government has imposed a strict lockdown on their citizens which creates a constructive impact on the atmosphere. Air pollutant concentration has been investigated in this study to analyze the impact of lockdown on the environment. Based on the air pollutant concentration, Air Quality Index (AQI) is deliberated. The Air Quality Index indicates the most and least polluted cities in the world. A higher value of AQI represents the higher polluted city and a lesser value of Air Quality Index represents a less polluted city. The impact of lockdown on air quality has been studied in this work and it is observed that the air pollutant concentration has reduced in every city of the world during the lockdown period. It has been also detected that the PM2.5 and PM10 are the most affecting air concentrator which controls the air quality of all the selected places during and after lockdown.</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="62852">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="62853">
                <text>Air Quality Index (AQI), Carbon monoxide (CO), Ground-level ozone (O3), Nitrogen dioxide (NO2), Particle pollution, Sulphur dioxide (SO2)</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="62854">
                <text>10.1007/s11356-021-14462-9</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Going by the current physical reach of the COVID-19 pandemic in the population there are bound to be long-term socio-economic and psychological implications. The swift rise of fear and anxiety among people due to uncertainty of the disease are coupled with essential yet socially disruptive measures like lockdowns and quarantines. These can lead to significant psychological and psychiatric disturbances such as post-traumatic stress disorder, depression, anxiety, panic disorders, and behavioural disorders. Predisposing factors include staying away from family, loneliness, misinformation on social media, financial insecurity and stigmatization. Healthcare workers, too, have a high risk of developing post-traumatic stress disorder and burnout; therefore, it is paramount to understand and research the psychological impact and key determinants to prevent, identify, and manage such problems. Suggested actions include support lines for anxious people, tele-counselling, virtual connecting &amp; help groups, encouraging meditation, conducting research on psychological consequences, and developing and utilising suitable interventions.</text>
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