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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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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</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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        <name>Dublin Core</name>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>The SARS-CoV-2 mRNA-1273 vaccine elicits more RBD-focused neutralization, but with broader antibody binding within the RBD.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="56990">
                <text>Katharine H D Crawford, Jesse D Bloom, Tyler N Starr, Allison J Greaney, Andrea N Loes, Lauren E Gentles, Keara D Malone, Helen Y Chu</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The emergence of SARS-CoV-2 variants with mutations in key antibody epitopes has raised concerns that antigenic evolution will erode immunity. The susceptibility of immunity to viral evolution is shaped in part by the breadth of epitopes targeted. Here we compare the specificity of antibodies elicited by the mRNA-1273 vaccine versus natural infection. The neutralizing activity of vaccine-elicited antibodies is even more focused on the spike receptor-binding domain (RBD) than for infection-elicited antibodies. However, within the RBD, binding of vaccine-elicited antibodies is more broadly distributed across epitopes than for infection-elicited antibodies. This greater binding breadth means single RBD mutations have less impact on neutralization by vaccine sera than convalescent sera. Therefore, antibody immunity acquired by different means may have differing susceptibility to erosion by viral evolution. Deep mutational scanning shows the mRNA-1273 RBD-binding antibody response is less affected by single viral mutations than the infection response.</text>
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            <name>Date</name>
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                <text>2021</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="56993">
                <text>10.1101/2021.04.14.439844</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="56994">
                <text>bioRxiv : the preprint server for biology</text>
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  <item itemId="10399" public="1" featured="0">
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        <src>http://socictopen.socict.org/files/original/e49c7b5bc26c116fb71351e52c645b2d.pdf</src>
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          <name>Dublin Core</name>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <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="86766">
                <text>COVID-19 and the Black Death: Nutrition, frailty, inequity, and mortality</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Katherine D. VAN SCHAIK, Sharon N. DeWITTE</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Introduction: COVID-19 has challenged governments, healthcare systems, and individuals, drawing at- tention to the limits of modern technology and the extent of social inequity. Such challenges have directed attention to historical epidemics as repositories of data that could contribute to effective public health stra- tegies and prognostic modeling. In light of the well-established correlation between frailty and mortality from COVID-19, this paper investigates the relationship between frailty, inequity, and mortality in the set- ting of the Black Death of 1346 – 1353, in order to identify trends over time in populations at the greatest risk of mortality during pandemics.Methods: A comparative review examining relationships between frailty and mortality during the fourte- enth century Black Death and the current COVID-19 pandemic was conducted. Data related to the Black Death are derived from osteological analyses of remains from mass plague graves in the United Kingdom, and data related to COVID-19 are derived from the United States, Italy, and China.Results: Nutrition – often a consequence of socioeconomic status – plays a crucial role in pandemic mor- tality. During the Black Death, people with pathological indicators that can reflect undernourishment due to inadequate caloric intake were more likely to die of plague. In the COVID-19 pandemic, higher obesity rates among populations of lower socioeconomic status in the United States reveal similar relationships among nutrition, frailty, inequity, and pandemic mortality.Conclusion: Nutrition – often a consequence of socioeconomic status – has a crucial role in risks of mor- tality. Our analysis underscores the importance of addressing nutrition and frailty in present and future discussions of the prevention and mitigation of pandemics.</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; frailty; medieval plague; nutrition; selective mortality</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="86771">
                <text>10.19204/2020/cvdn3</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="86772">
                <text>Journal of Health and Social Sciences</text>
              </elementText>
            </elementTextContainer>
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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="86773">
                <text>Edizioni FS</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="86774">
                <text>Medicine (General), Social sciences (General)</text>
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        <src>http://socictopen.socict.org/files/original/06b45f1f779212bd5c8b30819a248b63.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>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
          </elementContainer>
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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="78282">
                <text>Temporal dynamics of viral load and false negative rate influence the levels of testing necessary to combat COVID-19 spread</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="78283">
                <text>Katherine F. Jarvis, Joshua B. Kelley</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Abstract Colleges and other organizations are considering testing plans to return to operation as the COVID-19 pandemic continues. Pre-symptomatic spread and high false negative rates for testing may make it difficult to stop viral spread. Here, we develop a stochastic agent-based model of COVID-19 in a university sized population, considering the dynamics of both viral load and false negative rate of tests on the ability of testing to combat viral spread. Reported dynamics of SARS-CoV-2 can lead to an apparent false negative rate from ~ 17 to ~ 48%. Nonuniform distributions of viral load and false negative rate lead to higher requirements for frequency and fraction of population tested in order to bring the apparent Reproduction number (Rt) below 1. Thus, it is important to consider non-uniform dynamics of viral spread and false negative rate in order to model effective testing plans.</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="78285">
                <text>2021</text>
              </elementText>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="78286">
                <text>10.1038/s41598-021-88498-9</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="78287">
                <text>Epidemiology and Health</text>
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            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="78288">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="78289">
                <text>Science, Medicine</text>
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        <src>http://socictopen.socict.org/files/original/e15130a0175ace225f901030e35233bd.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>
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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>
            <elementTextContainer>
              <elementText elementTextId="58022">
                <text>The impact of the COVID-19 pandemic on the utilization of emergency department services for the treatment of injuries.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58023">
                <text>Katherine J Harmon, Mike Dolan Fliss, Stephen W Marshall, Kathy Peticolas, Scott K Proescholdbell, Anna E Waller</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="58024">
                <text>The global COVID-19 pandemic has had a major impact on the utilization of healthcare services; however, the impact on population-level emergency department (ED) utilization patterns for the treatment of acute injuries has not been fully characterized. This study examined the frequency of North Carolina (NC) EDs visits for selected injury mechanisms during the first eleven months of the COVID-19 pandemic. Data were obtained from the NC Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT), NC's legislatively mandated statewide syndromic surveillance system for the years 2019 and 2020. Frequencies of January - November 2020 NC ED visits were compared to frequencies of 2019 visits for selected injury mechanisms, classified according to International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) injury diagnosis and mechanism codes. In 2020, the total number of injury-related visits declined by 19.5% (N = 651,158) as compared to 2019 (N = 809,095). Visits related to motor vehicle traffic crashes declined by a greater percentage (29%) and falls (19%) declined by a comparable percentage to total injury-related visits. Visits related to assault (15%) and self-harm (10%) declined by smaller percentages. Medication/drug overdose visits increased (10%), the only injury mechanism studied to increase during this period. Both ED avoidance and decreased exposures may have contributed to these declines, creating implications for injury morbidity and mortality. Injury outcomes exacerbated by the pandemic should be addressed by timely public health responses.</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="58025">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58026">
                <text>covid-19, emergency medicine, Injury, Sentinel surveillance</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="58027">
                <text>10.1016/j.ajem.2021.04.019</text>
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            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="58028">
                <text>The American journal of emergency medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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  </item>
  <item itemId="8921" public="1" featured="0">
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        <src>http://socictopen.socict.org/files/original/f4f6938d3f636aa95b20ac249d4618d1.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>
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                <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>
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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="75104">
                <text>A single-cell and spatial atlas of autopsy tissues reveals pathology and cellular targets of SARS-CoV-2.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Katherine J Siddle, Carly G K Ziegler, Toni M Delorey, Graham Heimberg, Rachelly Normand, Yiming Yang, Asa Segerstolpe, Domenic Abbondanza, Stephen J Fleming, Ayshwarya Subramanian, Daniel T Montoro, Karthik A Jagadeesh, Kushal K Dey, Pritha Sen, Michal Slyper, Yered H Pita-Juárez, Devan Phillips, Zohar Bloom-Ackerman, Nick Barkas, Andrea Ganna, James Gomez, Erica Normandin, Pourya Naderi, Yury V Popov, Siddharth S Raju, Sebastian Niezen, Linus T-Y Tsai, Malika Sud, Victoria M Tran, Shamsudheen K Vellarikkal, Liat Amir-Zilberstein, Deepak S Atri, Joseph Beechem, Olga R Brook, Jonathan Chen, Prajan Divakar, Phylicia Dorceus, Jesse M Engreitz, Adam Essene, Donna M Fitzgerald, Robin Fropf, Steven Gazal, Joshua Gould, John Grzyb, Tyler Harvey, Jonathan Hecht, Tyler Hether, Judit Jane-Valbuena, Michael Leney-Greene, Hui Ma, Cristin McCabe, Daniel E McLoughlin, Eric M Miller, Christoph Muus, Mari Niemi, Robert Padera, Liuliu Pan, Deepti Pant, Carmel Pe'er, Jenna Pfiffner-Borges, Christopher J Pinto, Jacob Plaisted, Jason Reeves, Marty Ross, Melissa Rudy, Erroll H Rueckert, Michelle Siciliano, Alexander Sturm, Ellen Todres, Avinash Waghray, Sarah Warren, Shuting Zhang, Daniel R Zollinger, Lisa Cosimi, Rajat M Gupta, Nir Hacohen, Winston Hide, Alkes L Price, Jayaraj Rajagopal, Purushothama Rao Tata, Stefan Riedel, Gyongyi Szabo, Timothy L Tickle, Deborah Hung, Pardis C Sabeti, Richard Novak, Robert Rogers, Donald E Ingber, Z Gordon Jiang, Dejan Juric, Mehrtash Babadi, Samouil L Farhi, James R Stone, Ioannis S Vlachos, Isaac H Solomon, Orr Ashenberg, Caroline B M Porter, Bo Li, Alex K Shalek, Alexandra-Chloé Villani, Orit Rozenblatt-Rosen, Aviv Regev</text>
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            <description>An account of the resource</description>
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                <text>The SARS-CoV-2 pandemic has caused over 1 million deaths globally, mostly due to acute lung injury and acute respiratory distress syndrome, or direct complications resulting in multiple-organ failures. Little is known about the host tissue immune and cellular responses associated with COVID-19 infection, symptoms, and lethality. To address this, we collected tissues from 11 organs during the clinical autopsy of 17 individuals who succumbed to COVID-19, resulting in a tissue bank of approximately 420 specimens. We generated comprehensive cellular maps capturing COVID-19 biology related to patients' demise through single-cell and single-nucleus RNA-Seq of lung, kidney, liver and heart tissues, and further contextualized our findings through spatial RNA profiling of distinct lung regions. We developed a computational framework that incorporates removal of ambient RNA and automated cell type annotation to facilitate comparison with other healthy and diseased tissue atlases. In the lung, we uncovered significantly altered transcriptional programs within the epithelial, immune, and stromal compartments and cell intrinsic changes in multiple cell types relative to lung tissue from healthy controls. We observed evidence of: alveolar type 2 (AT2) differentiation replacing depleted alveolar type 1 (AT1) lung epithelial cells, as previously seen in fibrosis; a concomitant increase in myofibroblasts reflective of defective tissue repair; and, putative TP63 + intrapulmonary basal-like progenitor (IPBLP) cells, similar to cells identified in H1N1 influenza, that may serve as an emergency cellular reserve for severely damaged alveoli. Together, these findings suggest the activation and failure of multiple avenues for regeneration of the epithelium in these terminal lungs. SARS-CoV-2 RNA reads were enriched in lung mononuclear phagocytic cells and endothelial cells, and these cells expressed distinct host response transcriptional programs. We corroborated the compositional and transcriptional changes in lung tissue through spatial analysis of RNA profiles in situ and distinguished unique tissue host responses between regions with and without viral RNA, and in COVID-19 donor tissues relative to healthy lung. Finally, we analyzed genetic regions implicated in COVID-19 GWAS with transcriptomic data to implicate specific cell types and genes associated with disease severity. Overall, our COVID-19 cell atlas is a foundational dataset to better understand the biological impact of SARS-CoV-2 infection across the human body and empowers the identification of new therapeutic interventions and prevention strategies.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2021</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="75108">
                <text>10.1101/2021.02.25.430130</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="75109">
                <text>bioRxiv : the preprint server for biology</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Prevalence and Socio-Demographic Predictors of Food Insecurity in Australia during the COVID-19 Pandemic</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="85042">
                <text>Katherine Kent, Sandra Murray, Beth Penrose, Stuart Auckland, Denis Visentin, Stephanie Godrich, Elizabeth Lester</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="85043">
                <text>The COVID-19 pandemic has exacerbated economic vulnerabilities and disrupted the Australian food supply, with potential implications for food insecurity. This study aims to describe the prevalence and socio-demographic associations of food insecurity in Tasmania, Australia, during the COVID-19 pandemic. A cross-sectional survey (deployed late May to early June 2020) incorporated the U.S. Household Food Security Survey Module: Six-Item Short Form, and fifteen demographic and COVID-related income questions. Survey data (n = 1170) were analyzed using univariate and multivariate binary logistic regression. The prevalence of food insecurity was 26%. The adjusted odds of food insecurity were higher among respondents with a disability, from a rural area, and living with dependents. Increasing age, a university education, and income above $80,000/year were protective against food insecurity. Food insecurity more than doubled with a loss of household income above 25% (Adjusted Odds Ratio (AOR): 2.02; 95% CI: 1.11, 3.71; p = 0.022), and the odds further increased with loss of income above 75% (AOR: 7.14; 95% CI: 2.01, 24.83; p = 0.002). Our results suggest that the prevalence of food insecurity may have increased during the COVID-19 pandemic, particularly among economically vulnerable households and people who lost income. Policies that support disadvantaged households and ensure adequate employment opportunities are important to support Australians throughout and post the COVID-19 pandemic.</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="85044">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="85045">
                <text>Australia, covid-19, food supply, food insecurity</text>
              </elementText>
            </elementTextContainer>
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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/nu12092682</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="85047">
                <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="85048">
                <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="85049">
                <text>Nutrition. Foods and food supply</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Agricultura sostenible</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="220730">
                <text>Análisis espacial (1987- 2017) y predictivo (2050) del hábitat del mono tocón Plecturocebus Oenanthe Thomas, en la región San Martín, Perú</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="220731">
                <text>Katherine Milagros Lopez Alvarez</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="220732">
                <text>La deforestación en la Amazonía peruana es un grave problema que perjudica a las especies que habitan en ellas; especialmente a especies endémicas, pues poseen un rango de distribución limitado. En el Perú, una de las tres especies de primates endémicas —el mono tocón de San Martín— ha sido catalogada como en peligro crítico de extinción, debido a amenazas como la deforestación y el cambio climático. A partir de la premisa anterior, el presente estudio analiza la evolución del hábitat en un período comprendido entre 1987 a 2017, así como el hábitat futuro en el año 2050, en base a técnicas de análisis espacial, muestreo de puntos de presencia/ausencia y el modelamiento de la distribución de especies. Los principales resultados arrojan una pérdida considerable de cobertura vegetal en el período comprendido entre 1987 y 2006, producto de la deforestación; pero un aumento de superficie vegetal entre 2006 y 2017, ligado al incremento de cultivos permanentes como el cacao y café en la región. Asimismo, se logró la adición de dos nuevas localidades con presencia del primate en la zona norte del área de estudio. Y, finalmente, con la modelación futura y la información de pérdida actual de bosques, se evidencia un escenario pesimista para la supervivencia del primate en un futuro bajo la influencia del cambio climático.</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="220733">
                <text>2019</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="220734">
                <text>Amazônia, Análisis espacial, Cambio climático, primates</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="220735">
                <text>Espacio y Desarrollo</text>
              </elementText>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="220736">
                <text>Pontificia Universidad Católica del Perú</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="220737">
                <text>Geography (General), Geography. Anthropology. Recreation</text>
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            </elementTextContainer>
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          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
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              <elementText elementTextId="220738">
                <text>&lt;a href="http://revistas.pucp.edu.pe/index.php/espacioydesarrollo/article/view/21761" target="_blank" rel="noreferrer noopener"&gt;http://revistas.pucp.edu.pe/index.php/espacioydesarrollo/article/view/21761&lt;/a&gt;</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Agricultura sostenible</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</text>
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              </elementTextContainer>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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        <name>Dublin Core</name>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Distribución y ecología de medusas y sifonóforos en tres estaciones de la zona marino costera de la Península de Santa Elena, Ecuador</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="176910">
                <text>Katherine Mujica Rodríguez, Eufredo Carlos Andrade Ruiz</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="176911">
                <text>Con la finalidad de incrementar el conocimiento sobre los cnidarios se estudió la composición, distribución, abundancia y ecología de la comunidad de medusas y sifonóforos durante la época húmeda desde diciembre del 2015 a mayo del 2016 en seis estaciones ubicadas en la zona costera de Ancón, Anconcito y Punta Carnero (Ecuador), a partir de 51 muestras zooplanctónicas colectadas mediante arrastres superficiales y verticales. Se identificaron 22 especies de medusas clasificadas en 5 órdenes, 14 familias y 16 géneros y 14 especies de sifonóforos con 1 orden, 2 subórdenes, 4 familias y 10 géneros. Las especies más abundantes a nivel superficial fueron Aglaura hemistoma en febrero, Liriope tetraphylla en marzo, Obelia sp. y Proboscidactyla ornata en febrero, Nanomia bijuga en abril, Muggiaea atlantica en febrero, Sulculeolaria chuni y Diphyes dispar en marzo, mientras que en la columna de agua (10 metros) fueron Proboscidactyla ornata en febrero, Liriope tetraphylla, Solmundella bitentaculata, Obelia sp., Muggiaea atlantica y Nanomia bijuga en abril, la máxima diversidad en medusas fue de 2.14 bits/ind en la columna de agua para abril, mientras que en sifonóforos a nivel superficial con 1.67 bits/ind para diciembre. La similitud de Bray-Curtis determinó a las estaciones E2, E3 y E4 como las más afines por sus máximas abundancias. El análisis de correspondencia canónica destacó la relación entre Obelia sp. y Muggiaea atlantica con la temperatura y de Liriope tetraphylla con la salinidad. En general, la fauna de medusas y sifonóforos mostró una representativa afinidad ecológica para aguas tropicales y subtropicales así como también presencia de especies cosmopolitas, neríticas y oceánicas, estudio de vital importancia para asociarlos en futuras investigaciones al Evento El Niño.</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="176912">
                <text>2019</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="176913">
                <text>Diversidad, abundancia, evento El Niño, salinidad, temperatura, zooplancton gelatinoso</text>
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            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="176914">
                <text>10.26423/rctu.v6i2.443</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="176915">
                <text>Revista Científica y Tecnológica UPSE</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="176916">
                <text>Universidad Península de Santa Elena</text>
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            </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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              <elementText elementTextId="176917">
                <text>Social Sciences, Science</text>
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            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="176918">
                <text>&lt;a href="https://incyt.upse.edu.ec/ciencia/revistas/index.php/rctu/article/view/443" target="_blank" rel="noreferrer noopener"&gt;https://incyt.upse.edu.ec/ciencia/revistas/index.php/rctu/article/view/443&lt;/a&gt;</text>
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                  <text>Agricultura sostenible</text>
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              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>Universidad Alberto Hurtado</text>
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                <text>This article discusses the institutional spaces, both large and small, where academic libraries may become embedded in research-related activities throughout the university. It then goes on to consider some of the possible changes and outcomes as a result of the Covid-19 pandemic. It outlines current research on opportunities for change in libraries, researcher demands, collaboration and the need for more research about working together. It concludes by suggesting that libraries and individuals should embrace principles of ‘planned happenstance’ so as to expand what may be possible with our new working spaces and realities.</text>
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                <text>Epidemiology and Health</text>
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                <text>Bibliography. Library science. Information resources</text>
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