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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Comparative diagnostic performance of rapid antigen detection tests for COVID-19 in a hospital setting.</text>
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                <text>Bianca Bruzzone, Vanessa De Pace, Patrizia Caligiuri, Valentina Ricucci, Giulia Guarona, Beatrice M. Pennati, Simona Boccotti, Andrea Orsi, Giorgio Da Rin, Giancarlo Icardi, Alexander Domnich</text>
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                <text>The availability of accurate and rapid diagnostic tools for COVID-19 is essential for tackling the ongoing pandemic. Our study aimed to quantify the performance of available antigen-detecting rapid diagnostic tests (Ag-RDTs) in a real-world hospital setting. In this retrospective analysis, the diagnostic performance of 7 Ag-RDTs was compared with real-time reverse transcription quantitative polymerase chain reaction assay in terms of sensitivity, specificity and expected predictive values. A total of 321 matched Ag-RDTreal-time reverse transcription quantitative polymerase chain reaction samples were analyzed retrospectively. The overall sensitivity and specificity of the Ag-RDTs was 78.7% and 100%, respectively. However, a wide range of sensitivity estimates by brand (66.0%-93.8%) and cycle threshold (Ct) cut-off values (Ct &lt;25: 96.2%; Ct 30-35: 31.1%) was observed. The optimal Ct cut-off value that maximized sensitivity was 29. The routine use of Ag-RDTs may be convenient in moderate-to-high intensity settings when high volumes of specimens are tested every day. However, the diagnostic performance of the commercially available tests may differ substantially.</text>
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                <text>2021</text>
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                <text>covid-19, Italy, SARS-CoV-2, Rapid Antigen Detection Test</text>
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                <text>10.1016/j.ijid.2021.04.072</text>
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                <text>International Journal of Infectious Diseases</text>
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                <text>Elsevier</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Evidence of SARS-CoV-2 reinfection within the same clade in Ecuador: A case study.</text>
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                <text>Gabriela Sevillano, David Ortega-Paredes, Karen Loaiza, Camilo Zurita-Salinas, Jeannete Zurita</text>
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                <text>To date, reported SARS-CoV-2 reinfection cases are mainly from strains belonging to different clades. As the pandemic advances, a few lineages have become dominant in certain areas leading to reinfections by similar strains. Here, we report a reinfection case within the same clade of the initial infection in a symptomatic 28-year-old-male in Quito-Ecuador. Infection was detected by reverse transcription-polymerase chain reaction, and immune response evaluated by antibody testing. Whole-genome sequencing was performed and phylogenetic analysis conducted to determine relatedness. Both the infection and the reinfection strains were assigned as Nextstrain 20B, Pangolin lineage B.1.1 and GISAID clade O. Our analysis indicated 4-6 fold more nucleotide changes than are expected for reactivation or persistence compared with the natural rate of SARS-CoV-2 mutation (∼2-3 nucleotide changes per month), thus supporting reinfection. Furthermore, approximately 3 months after the second infection, COVID-19 antibodies were not detectable in the patient, suggesting potential vulnerability to a third infection. Our results showed evidence of SARS-CoV-2 reinfection within the same clade in Ecuador, indicating that previous exposure to SARS-CoV-2 does not guarantee immunity in all cases.</text>
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                <text>2021</text>
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                <text>covid-19, SARS-CoV-2, Reinfection, Ecuador</text>
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                <text>10.1016/j.ijid.2021.04.073</text>
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              <elementText elementTextId="80088">
                <text>International Journal of Infectious Diseases</text>
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              <name>Title</name>
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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>Impact of the COVID-19 pandemic on tuberculosis management in Spain.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>M L Aznar, J Espinosa-Pereiro, N Saborit, N Jové, F Sánchez Martinez, S Pérez-Recio, A Vitoria, S Sanjoaquin, E Gallardo, J Llenas-García, V Pomar, I O García, J Cacho, Lisbeth Goncalves De Freitas, J V San Martin, J F García Rodriguez, M Á Jiménez-Fuentes, M L De Souza-Galvao, T Tórtola, R Zules, I Molina, Adrián Sánchez-Montalvá</text>
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                <text>The impact of COVID-19 on the diagnosis and management of tuberculosis (TB) patients remains unknown. Participant centres completed a structured web-based survey regarding changes in the management of TB patients during the COVID-19 pandemic. In addition, investigators included all patients ≥ 18 years with a TB diagnosis in two different periods: from March 15th to June 30th of 2020 and March 15th to June 30th, 2019. Clinical variables and information about household contacts were retrospectively collected. Seven (70%) TB Units reported changes in the TB team usual operation. A total of 169 patients were diagnosed with active TB in both periods of study (90 in 2019 and 79 in 2020). Patients diagnosed in 2020 showed more frequently bilateral lesions in CXR compared with patients diagnosed in 2019 (p = 0·004). A higher percentage of LTBI and active TB among children household contacts of patients diagnosed in 2020 compared to patients diagnosed in 2019 (p = 0·001) was observed. COVID-19 pandemic has caused substantial changes in TB care. TB patients diagnosed during COVID pandemic showed more extended pulmonary forms. The increase in LTBI infection and active TB in household children could reflect an expanded household transmission derived from antiCOVID19 measures.</text>
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                <text>2021</text>
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            <description>The topic of the resource</description>
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                <text>transmission, covid-19, Tuberculosis, Pandemic, impact, household contact screening</text>
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                <text>10.1016/j.ijid.2021.04.075</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="80096">
                <text>International Journal of Infectious Diseases</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Elsevier</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Comprehensive evaluation of eight commercial SARS-CoV-2 IgG assays.</text>
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                <text>Mario Hönemann, Christian Lück, Melanie Maier, Corinna Pietsch, Nadine Dietze, Tom Berthold, Marco Vinicio Narvaez Encalada, Thomas Grünewald, Volker Neumeister, Alexander Dalpke, Uwe Gerd Liebert</text>
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                <text>Sensitivity and specificity of serological assays are key parameters for the accurate estimation of SARS-CoV-2 sero-prevalence. The aim of this study was to compare 8 readily available IgG antibody tests using a panel of well-defined serum samples of prepandemic and pandemic origin. A cross-reaction panel included samples of patients with recent infection with either of the endemic Coronaviruses 229E, NL63, HKU1, or OC43. Additionally, samples with high antibody levels against influenza virus, adenovirus, and during acute EBV infection were included. Previous infection with endemic coronaviruses caused a significant amount of cross-reactivity in two of the assays. In contrast, the confidence intervals for the assays of Abbott, DiaSorin, Euroimmun and Roche encompassed the value of 98% for samples with a previous endemic HCoV infection. For all assays, sensitivities were between 91.3% and 98.8%. Assay performance was independent of the usage of either nucleocapsid or spike proteins.</text>
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                <text>2021</text>
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                <text>serology, covid-19, sensitivity, SARS-CoV-2, cross reactivity</text>
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                <text>10.1016/j.diagmicrobio.2021.115382</text>
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                <text>Diagnostic microbiology and infectious disease</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A comprehensive review of imaging findings in COVID-19 - status in early 2021.</text>
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                <text>Ali Afshar-Oromieh, Helmut Prosch, Cornelia Schaefer-Prokop, Karl Peter Bohn, Ian Alberts, Clemens Mingels, Majda Thurnher, Paul Cumming, Kuangyu Shi, Alan Peters, Silvana Geleff, Xiaoli Lan, Feng Wang, Adrian Huber, Christoph Gräni, Johannes T Heverhagen, Axel Rominger, Matthias Fontanellaz, Heiko Schöder, Andreas Christe, Stavroula Mougiakakou, Lukas Ebner</text>
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            <elementTextContainer>
              <elementText elementTextId="80107">
                <text>Medical imaging methods are assuming a greater role in the workup of patients with COVID-19, mainly in relation to the primary manifestation of pulmonary disease and the tissue distribution of the angiotensin-converting-enzyme 2 (ACE 2) receptor. However, the field is so new that no consensus view has emerged guiding clinical decisions to employ imaging procedures such as radiography, computer tomography (CT), positron emission tomography (PET), and magnetic resonance imaging, and in what measure the risk of exposure of staff to possible infection could be justified by the knowledge gained. The insensitivity of current RT-PCR methods for positive diagnosis is part of the rationale for resorting to imaging procedures. While CT is more sensitive than genetic testing in hospitalized patients, positive findings of ground glass opacities depend on the disease stage. There is sparse reporting on PET/CT with [18F]-FDG in COVID-19, but available results are congruent with the earlier literature on viral pneumonias. There is a high incidence of cerebral findings in COVID-19, and likewise evidence of gastrointestinal involvement. Artificial intelligence, notably machine learning is emerging as an effective method for diagnostic image analysis, with performance in the discriminative diagnosis of diagnosis of COVID-19 pneumonia comparable to that of human practitioners.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80108">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80109">
                <text>coronavirus, covid-19, SARS-CoV-2, imaging</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="80110">
                <text>10.1007/s00259-021-05375-3</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="80111">
                <text>European journal of nuclear medicine and molecular imaging</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="9615" public="1" featured="0">
    <fileContainer>
      <file fileId="9615">
        <src>https://www.socictopen.socict.org/files/original/f073d08574bc9b1bcd347cab610630d3.pdf</src>
        <authentication>f671363915ecc8f32560b0c3a0c1d85d</authentication>
      </file>
    </fileContainer>
    <collection collectionId="1">
      <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="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="80112">
                <text>Case Report: Stepwise Anti-Inflammatory and Anti-SARS-CoV-2 Effects Following Convalescent Plasma Therapy With Full Clinical Recovery</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80113">
                <text>Peter Vollenweider, Aurelia Zimmerli, Matteo Monti, Matteo Monti, Craig Fenwick, Isabella Eckerle, Catherine Beigelman-Aubry, Céline Pellaton, Katia Jaton, Dominique Dumas, Gian-Marco Stamm, Laura Infanti, Heidrun Andreu-Ullrich, Daphné Germann, Marie Mean, Raphael Stadelmann, Maura Prella, Denis Comte, Benoit Guery, David Gachoud, David Gachoud, Nathalie Rufer, Nathalie Rufer</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80114">
                <text>In these times of COVID-19 pandemic, concern has been raised about the potential effects of SARS-CoV-2 infection on immunocompromised patients, particularly on those receiving B-cell depleting agents and having therefore a severely depressed humoral response. Convalescent plasma can be a therapeutic option for these patients. Understanding the underlying mechanisms of convalescent plasma is crucial to optimize such therapeutic approach. Here, we describe a COVID-19 patient who was deeply immunosuppressed following rituximab (anti-CD20 monoclonal antibody) and concomitant chemotherapy for chronic lymphoid leukemia. His long-term severe T and B cell lymphopenia allowed to evaluate the treatment effects of convalescent plasma. Therapeutic outcome was monitored at the clinical, biological and radiological level. Moreover, anti-SARS-CoV-2 antibody titers (IgM, IgG and IgA) and neutralizing activity were assessed over time before and after plasma transfusions, alongside to SARS-CoV-2 RNA quantification and virus isolation from the upper respiratory tract. Already after the first cycle of plasma transfusion, the patient experienced rapid improvement of pneumonia, inflammation and blood cell counts, which may be related to the immunomodulatory properties of plasma. Subsequently, the cumulative increase in anti-SARS-CoV-2 neutralizing antibodies due to the three additional plasma transfusions was associated with progressive and finally complete viral clearance, resulting in full clinical recovery. In this case-report, administration of convalescent plasma revealed a stepwise effect with an initial and rapid anti-inflammatory activity followed by the progressive SARS-CoV-2 clearance. These data have potential implications for a more extended use of convalescent plasma and future monoclonal antibodies in the treatment of immunosuppressed COVID-19 patients.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80115">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80116">
                <text>neutralizing antibodies, Convalescent plasma therapy, viral clearance, B-cell depletion, chronic SARS-CoV-2 infection, severe immunosuppression</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="80117">
                <text>10.3389/fimmu.2021.613502</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="80118">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="80119">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="80120">
                <text>Immunologic diseases. Allergy</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="9616" public="1" featured="0">
    <fileContainer>
      <file fileId="9616">
        <src>https://www.socictopen.socict.org/files/original/393941f9e3b4aaf807e2d0216d7b7755.pdf</src>
        <authentication>eee0bbfded1bfffd054827ce96646db6</authentication>
      </file>
    </fileContainer>
    <collection collectionId="1">
      <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="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="80121">
                <text>Individually optimal choices can be collectively disastrous in COVID-19 disease control</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80122">
                <text>Madison Stoddard, Debra Van Egeren, Kaitlyn E. Johnson, Smriti Rao, Josh Furgeson, Douglas E. White, Ryan P. Nolan, Natasha Hochberg, Arijit Chakravarty</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80123">
                <text>Abstract Background The word ‘pandemic’ conjures dystopian images of bodies stacked in the streets and societies on the brink of collapse. Despite this frightening picture, denialism and noncompliance with public health measures are common in the historical record, for example during the 1918 Influenza pandemic or the 2015 Ebola epidemic. The unique characteristics of SARS-CoV-2—its high basic reproduction number (R0), time-limited natural immunity and considerable potential for asymptomatic spread—exacerbate the public health repercussions of noncompliance with interventions (such as vaccines and masks) to limit disease transmission. Our work explores the rationality and impact of noncompliance with measures aimed at limiting the spread of SARS-CoV-2. Methods In this work, we used game theory to explore when noncompliance confers a perceived benefit to individuals. We then used epidemiological modeling to predict the impact of noncompliance on control of SARS-CoV-2, demonstrating that the presence of a noncompliant subpopulation prevents suppression of disease spread. Results Our modeling demonstrates that noncompliance is a Nash equilibrium under a broad set of conditions and that the existence of a noncompliant population can result in extensive endemic disease in the long-term after a return to pre-pandemic social and economic activity. Endemic disease poses a threat for both compliant and noncompliant individuals; all community members are protected if complete suppression is achieved, which is only possible with a high degree of compliance. For interventions that are highly effective at preventing disease spread, however, the consequences of noncompliance are borne disproportionately by noncompliant individuals. Conclusions In sum, our work demonstrates the limits of free-market approaches to compliance with disease control measures during a pandemic. The act of noncompliance with disease intervention measures creates a negative externality, rendering suppression of SARS-CoV-2 spread ineffective. Our work underscores the importance of developing effective strategies for prophylaxis through public health measures aimed at complete suppression and the need to focus on compliance at a population level.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80124">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80125">
                <text>covid-19, SARS-CoV-2, Vaccine hesitancy, game theory, epidemiological modeling, Infectious disease control</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="80126">
                <text>10.1186/s12889-021-10829-2</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="80127">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="80128">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="80129">
                <text>Public aspects of medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="9617" public="1" featured="0">
    <fileContainer>
      <file fileId="9617">
        <src>https://www.socictopen.socict.org/files/original/5eabb1d557bdab1a61858a2c588ef29e.pdf</src>
        <authentication>42653c6182195187020b048169d9a7e8</authentication>
      </file>
    </fileContainer>
    <collection collectionId="1">
      <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="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="80130">
                <text>Perceived stress in the time of COVID-19: the association with brooding and COVID-related rumination in adults with and without migraine</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80131">
                <text>Lilla Nóra Kovács, Dániel Baksa, Dóra Dobos, Nóra Eszlári, Kinga Gecse, Natália Kocsel, Gabriella Juhász, Gyöngyi Kökönyei</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80132">
                <text>Abstract Background The main goal of this research was to explore whether migraineurs had a higher level of perceived stress than healthy controls during the times of the coronavirus and related restrictive measures, and to examine the relationship between different subtypes of rumination and perceived stress in these groups. We measured two facets of depressive rumination, brooding and reflection, along with rumination about the current COVID-19 situation to see whether these different subtypes of rumination explained perceived stress among migraineurs and healthy controls. Methods Healthy adults (n = 64) and migraine patients (n = 73) filled out self-report questionnaires online. A multiple linear regression model was used to test whether depressive rumination (i.e. brooding and reflection) and COVID-related rumination explained perceived stress among adults with and without migraine during the times of COVID-19, after controlling for gender, age, migraine/control group status and migraine disability. Results Although we did not find any difference in the level of perceived stress among migraineurs and the control group, perceived stress was more strongly associated with brooding as well as COVID-related rumination among migraineurs than healthy controls. COVID-related rumination and brooding (but not reflection) explained the level of perceived stress after controlling for gender, age, migraine/control group status and migraine disability. Conclusions The similar degree of perceived stress among migraineurs and the control group may imply that there is great variation in the personal experience of people regarding the pandemic, that may be determined by numerous other factors. Our results demonstrate that ruminating about the pandemic and related difficulties, as well as brooding (but not reflection) appear to be associated with higher level of perceived stress during the times of the coronavirus. This association was slightly stronger among migraineurs, hinting at the increased vulnerability of this patient group in stressful situations like the COVID-19 pandemic. Our results also suggest that ruminating about the pandemic and its consequences is weakly associated with trait-level depressive rumination, thus may be more contingent on specific factors.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80133">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80134">
                <text>covid-19, migraine, perceived stress, rumination, brooding, depressive rumination</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="80135">
                <text>10.1186/s40359-021-00549-y</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="80136">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="80137">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="80138">
                <text>Psychology</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="9618" public="1" featured="0">
    <fileContainer>
      <file fileId="9618">
        <src>https://www.socictopen.socict.org/files/original/12035679ebcc77e3bc881dbe1a5e926e.pdf</src>
        <authentication>e6eebb45cc2dd9e12103312b05b7f0e8</authentication>
      </file>
    </fileContainer>
    <collection collectionId="1">
      <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="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="80139">
                <text>Basic technology and proper usage of home health monitoring devices</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80140">
                <text>Himel Mondal, Shaikat Mondal</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80141">
                <text>Home health monitoring devices are consumer-grade devices that help to monitor the health of individuals at home. These devices are usually low-cost and easily procurable, and they can be operated by patients or their caretakers with minimal training. However, improper usage of these devices may provide erroneous results, which can lead to an unnecessary hospital visit or teleconsultation. In this article, we discuss the basic technology and proper usage of some of these devices, namely automatic blood pressure monitors, blood glucose monitors, body fat monitors, pulse oximeters, electrocardiographs, digital thermometers, and infrared thermometers. This brief document intends to help primary health care professionals and their patients use these devices.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80142">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80143">
                <text>covid-19, PRIMARY HEALTH CARE, remote consultation, Blood glucose, blood pressure monitors</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="80144">
                <text>10.51866/rv1097</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="80145">
                <text>Malaysian Family Physician</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
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                <text>Academy of Family Physicians of Malaysia</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine</text>
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        <src>https://www.socictopen.socict.org/files/original/981c7bfbb7197961157aaf7c1aa88d36.pdf</src>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Virtual medication tours with a pharmacist as part of a cystic fibrosis telehealth visit.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Nicole Warda, Shannon M Rotolo</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>As a result of the coronavirus disease 2019 (COVID-19) pandemic, institutions needed innovative solutions to provide care. With implementation of telehealth, a cystic fibrosis (CF) pharmacist was able to incorporate a virtual medication tour during appointments. The purpose of our study was to describe the uptake and impact of pharmacist-led virtual medication tours during telehealth visits in the CF clinic setting. Before the COVID-19 pandemic, a CF pharmacist participated in in-person multidisciplinary team visits to complete medication history reconciliation, assess adherence, assess efficacy and address possible adverse effects of medications, and work collaboratively with the CF care team and patient to create therapeutic plans. The virtual medication tour described in this study was completed in addition or as a complement to these pre-existing pharmacist roles and responsibilities. Patients seen via telehealth visit were asked to provide a virtual tour of their medications. A pharmacist completed medication history and evaluated whether storage conditions were appropriate in regard to temperature, humidity, light exposure, and accessibility to children. A pharmacist recorded findings from the virtual medication tours and made interventions when appropriate. Descriptive statistics were used for analysis. Of 20 patients seen via telehealth for a quarterly visit during the first 3 months after implementation, 13 were willing to participate in a virtual medication tour. Before the visit, 25% had information missing from their medication list. Virtual medication tour allowed for resolution of this information 80% of the time. Three of the 4 participating patients with a child under 12 years old had medications stored in a location accessible to children. A virtual medication tour led by a pharmacist can be successfully incorporated into telehealth visits and was accepted by a majority of patients. Most patients stored medications appropriately but might benefit from education on poison prevention practices.</text>
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            <name>Date</name>
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                <text>2021</text>
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            <name>Identifier</name>
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                <text>10.1016/j.japh.2021.04.005</text>
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                <text>Journal of the American Pharmacists Association : JAPhA</text>
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