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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Longitudinal Seroprevalence Study Evaluating Infection Control and Prevention Strategies at a Large Tertiary Care Center with Low COVID-19 Incidence</text>
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                <text>Lukas Weseslindtner, Karin Stiasny, Stefan Winkler, Heinz Burgmann, Lorenz Schubert, Robert Strassl, Gabriella Dvorak, Matthias Karer, Michael Kundi, Manuel Kussmann, Heimo Lagler, Felix Lötsch, Christopher Milacek, Markus Obermueller, Zoe Oesterreicher, Christoph Steininger, Florian Thalhammer, Ludwig Traby, Zoltan Vass, Matthias Gerhard Vossen, Selma Tobudic</text>
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                <text>Personal protective equipment and adherence to disinfection protocols are essential to prevent nosocomial severe acute respiratory syndrome coronavirus (SARS-CoV-2) transmission. Here, we evaluated infection control measures in a prospective longitudinal single-center study at the Vienna General Hospital, the biggest tertiary care center in Austria, with a structurally planned low SARS-CoV-2 exposure. SARS-CoV-2-specific antibodies were assessed by Abbott ARCHITECT chemiluminescent assay (CLIA) in 599 health care workers (HCWs) at the start of the SARS-CoV-2 epidemic in early April and two months later. Neutralization assay confirmed CLIA-positive samples. A structured questionnaire was completed at both visits assessing demographic parameters, family situation, travel history, occupational coronavirus disease 2019 (COVID-19) exposure, and personal protective equipment handling. At the first visit, 6 of 599 participants (1%) tested positive for SARS-CoV-2-specific antibodies. The seroprevalence increased to 1.5% (8/553) at the second visit and did not differ depending on the working environment. Unprotected SARS-CoV-2 exposure (p = 0.003), positively tested family members (p = 0.04), and travel history (p = 0.09) were more frequently reported by positively tested HCWs. Odds for COVID-19 related symptoms were highest for congestion or runny nose (p = 0.002) and altered taste or smell (p</text>
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                <text>2021</text>
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                <text>Occupational Health, covid-19, infection prevention and control</text>
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                <text>10.3390/ijerph18084201</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Medicine</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Low Viral Dose in COVID-19 Patient: A Case Report</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Yuanhong Xu, Tengchuan Jin, Meijuan Zheng, Yajuan Li, Xianwei Hu, Youhui Tu, Tao Wu, Bo Wang, Huan Ma, Weihong Zeng, Dan Zhao, Hylemariam Mihiretie Mengist, Arnaud John Kombe Kombe, Tengchuan Jin, Tengchuan Jin</text>
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                <text>SARS-CoV-2 outbreak has attracted global attention. Verifying the presence of viral RNA is the gold standard for the diagnosis of COVID-19. However, RT-qPCR diagnosis often fails to catch infected patients, because of inconsistent swab sample collection. Here we report a case that showed 5 consecutive negative and 1 low-viral- dose RT-qPCR results during illness spanning over 20 days. Clinical symptoms suggest SARS-CoV-2 infection with typical ground glass like a lung in computed tomography. SARS-CoV-2 infection was serologically confirmed by the presence of anti-SARS-CoV-2 specific antibodies in patients' serum. Finally, a high level of protective IgG was produced after the patient recovered. Surprisingly, as a barber and a housewife staying at home for the first 2 weeks after the onset of illness, none of the close contacts were infected, showing a case of low viral load and low infectivity in this patient.</text>
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                <text>2020</text>
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            <name>Subject</name>
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                <text>IgG, RT-qPCR, IgM, IgA, COVID-19 patient</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.3389/fpubh.2020.00339</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
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                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Public aspects of medicine</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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            <element elementId="41">
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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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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                <text>A Lung Transcriptomic Analysis for Exploring Host Response in COVID-19</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="38155">
                <text>Utkarsh Raj, Uma Chaudhary, Somya Gupta, Aditya Saxena, Alok Bharadwaj, Nitin Wahi, Jitender Reddy Kalli, Shravya Gupta, Sparsh Kumar</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2) rose without precedent for Wuhan,China, in December 2019. It is a kind of exceptionally pathogenic human coronavirus (HCoV) whichcauses zoonotic sicknesses and represents a significant risk to general wellbeing. Recognizing thehidden biology and pathogenesis of this novel coronavirus is extremely critical to comprehend as wellas boosting the treatment of this deadly pandemic. The point of this study is to recognize key geneswhich show significant expression in the SARS-CoV-2 infected lungs as compared to healthy ones. Ouranalysis uncovered 149 gene-signatures that show substantial up-regulation in COVID-19 lungs. Outof these, top ten dysregulated genes STAP1, CASP5, FDCSP, CARD17, ST20, AKR1B10, CLC, KCNJ2-AS1,RNASE2 and FLG are found to be significant based on various crucial statistical factors and may endup being acceptable helpful drug targets.</text>
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            <name>Date</name>
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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>Gene signatures, SARS-CoV-2, COVID-19</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.22207/JPAM.14.SPL1.47</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="38160">
                <text>Journal of Pure and Applied Microbiology</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="38161">
                <text>Journal of Pure and Applied Microbiology</text>
              </elementText>
            </elementTextContainer>
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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="38162">
                <text>Microbiology</text>
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  <item itemId="1295" public="1" featured="0">
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </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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        <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>
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                <text>A mathematical model for simulating the phase-based transmissibility of a novel coronavirus</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="12369">
                <text>Tian-Mu Chen, Jia Rui, Qiu-Peng Wang, Ze-yu Zhao, Jing-an Cui, Ling Yin</text>
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                <text>Abstract Background As reported by the World Health Organization, a novel coronavirus (2019-nCoV) was identified as the causative virus of Wuhan pneumonia of unknown etiology by Chinese authorities on 7 January, 2020. The virus was named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by International Committee on Taxonomy of Viruses on 11 February, 2020. This study aimed to develop a mathematical model for calculating the transmissibility of the virus. Methods In this study, we developed a Bats-Hosts-Reservoir-People transmission network model for simulating the potential transmission from the infection source (probably be bats) to the human infection. Since the Bats-Hosts-Reservoir network was hard to explore clearly and public concerns were focusing on the transmission from Huanan Seafood Wholesale Market (reservoir) to people, we simplified the model as Reservoir-People (RP) transmission network model. The next generation matrix approach was adopted to calculate the basic reproduction number (R 0) from the RP model to assess the transmissibility of the SARS-CoV-2. Results The value of R 0 was estimated of 2.30 from reservoir to person and 3.58 from person to person which means that the expected number of secondary infections that result from introducing a single infected individual into an otherwise susceptible population was 3.58. Conclusions Our model showed that the transmissibility of SARS-CoV-2 was higher than the Middle East respiratory syndrome in the Middle East countries, similar to severe acute respiratory syndrome, but lower than MERS in the Republic of Korea.</text>
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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>novel coronavirus, mathematical model, Basic reproduction number, next generation matrix, transmissibility</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="12373">
                <text>DOI: 10.1186/s40249-020-00640-3</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="12374">
                <text>Infectious Diseases of Poverty</text>
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                <text>BMC</text>
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                <text>Public aspects of medicine, Infectious and parasitic diseases</text>
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                <text>EN</text>
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                <text>A Mathematical Model for the COVID-19 Outbreak and Its Applications</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Roman Cherniha, Vasyl’ Davydovych</text>
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                <text>A mathematical model based on nonlinear ordinary differential equations is proposed for quantitative description of the outbreak of the novel coronavirus pandemic. The model possesses remarkable properties, such as as full integrability. The comparison with the public data shows that exact solutions of the model (with the correctly specified parameters) lead to the results, which are in good agreement with the measured data in China and Austria. Prediction of the total number of the COVID-19 cases is discussed and examples are presented using the measured data in Austria, France, and Poland. Some generalizations of the model are suggested as well.</text>
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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>exact solution, integrability, logistic equation, nonlinear mathematical model, modeling infectious diseases</text>
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            </elementTextContainer>
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                <text>DOI: 10.3390/sym12060990</text>
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                <text>Symmetry</text>
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                <text>MDPI AG</text>
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            </elementTextContainer>
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                <text>Mathematics</text>
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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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              <name>Description</name>
              <description>An account of the resource</description>
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                  <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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        <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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                <text>A memory-recall checklist for dental services during the COVID-19 outbreak: A clinical recommendation</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="53067">
                <text>Amal A Al-Khotani, Haila A Al-Huraishi, Dalia E Meisha</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="53068">
                <text>The epidemic coronavirus disease 2019 (COVID-19) has infected millions of people and put a huge amount of stress on the health-care system. Health-care professionals, including dental professionals, are at a high risk of acquiring COVID-19. Therefore, extra precautions need to be implemented for routine dental infection control procedures. It is encouraged to have a written reminder in the form of a checklist to recall these crucial steps, especially when nonroutine procedures must be followed. The aim of this special communication is to present a proposed mnemonic or memory-recall, user-friendly checklist to be used in the dental clinic during the COVID-19 outbreak. The checklist was created following the guidelines for reopening dental services in governmental and private sectors during the COVID-19 pandemic that were published by the Ministry of Health on June 5, 2020. Based on the patient's score and the urgency of the dental situation, specific steps should be followed. When the patient's score is ≥ 4 and needs an emergency aerosol-generating procedure, REDS steps should be recalled. Further, MRS steps must be followed if the patient's score is &lt; 4. For both groups, GAMES can be followed when personal protective equipment is needed before the patient examination and HD steps should be applied after finishing the dental procedure. In conclusion, this written reminder in the form of a checklist can be helpful for a safe dental practice during pandemics to recall the crucial nonroutine steps. We recommend that the dental staff place those steps as a written reminder in an accessible, visible place.</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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              <elementText elementTextId="53070">
                <text>Infection control, covid-19, Pandemic, guidelines, Dental, check list</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.4103/sjos.SJOralSci_62_20</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="53072">
                <text>Biotemas</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="53073">
                <text>Universidade Federal de Santa Catarina</text>
              </elementText>
            </elementTextContainer>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Dentistry</text>
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              <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>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>
        <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="31420">
                <text>A Mental Health First Aid Service in an Italian University Public Hospital during the Coronavirus Disease 2019 Outbreak</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="31421">
                <text>Roberto Vitelli, Mario Bottone, Paolo Valerio, Cristiano Scandurra, Alessandro Chiodi, Nelson Mauro Maldonato, Raffaella De Falco, Benedetta Muzii, Grazia Isabella Continisio, Marzia Duval, Gerarda Siani</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="31422">
                <text>The recent outbreak of coronavirus disease 2019 (COVID-19) has been extremely stressful and has produced fear and anxiety throughout the population, representing a psychological emergency. This work aimed at presenting a mental health first aid service established within an Italian university public hospital context to address four different population targets (i.e., people vulnerable to mental health problems, health-care professionals, people in isolation, and general citizenship). Specifically, the organizational structure comprising four different areas (i.e., management, clinical, communication, and research) and first data collected from the foundation of the service until 3 May 2020 are presented. Findings indicated that anxiety and fear of contagion were the main motivations prompting both the general population and health-care professionals to ask for a psychological help. Furthermore, findings indicate that clients’ current quality of life was perceived as lower than in the past but also that imagined in the future, highlighting the importance of psychological first aid interventions. This service may represent an example for helping mental health professionals in developing similar services in their local realities, promoting health and individual and community resilience.</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="31423">
                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Quality of Life, first aid, Mental health, psychological intervention, COVID-19</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>
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              <elementText elementTextId="31425">
                <text>DOI: 10.3390/su12104244</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="31426">
                <text>Sustainability</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="31427">
                <text>MDPI AG</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="31428">
                <text>Environmental sciences, Renewable energy sources, Environmental effects of industries and plants</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
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  <item itemId="9879" public="1" featured="0">
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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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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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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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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>A Message from the Human Placenta: Structural and Immunomodulatory Defense against SARS-CoV-2</text>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82188">
                <text>Nina-Naomi Kreis, Andreas Ritter, Frank Louwen, Juping Yuan</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The outbreak of the coronavirus disease 2019 (COVID-19) pandemic has caused a global public health crisis. Viral infections may predispose pregnant women to a higher rate of pregnancy complications, including preterm births, miscarriage, and stillbirth. Despite reports of neonatal COVID-19, definitive proof of vertical transmission is still lacking. In this review, we summarize studies regarding the potential evidence for transplacental transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), characterize the expression of its receptors and proteases, describe the placental pathology and analyze virus-host interactions at the maternal-fetal interface. We focus on the syncytium, the barrier between mother and fetus, and describe in detail its physical and structural defense against viral infections. We further discuss the potential molecular mechanisms, whereby the placenta serves as a defense front against pathogens by regulating the interferon type III signaling, microRNA-triggered autophagy and the nuclear factor-κB pathway. Based on these data, we conclude that vertical transmission may occur but rare, ascribed to the potent physical barrier, the fine-regulated placental immune defense and modulation strategies. Particularly, immunomodulatory mechanisms employed by the placenta may mitigate violent immune response, maybe soften cytokine storm tightly associated with severely ill COVID-19 patients, possibly minimizing cell and tissue damages, and potentially reducing SARS-CoV-2 transmission.</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>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>covid-19, SARS-CoV-2, Vertical transmission, miRNA, placenta, immune defense</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="82192">
                <text>10.3390/cells9081777</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="82193">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="82194">
                <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="82195">
                <text>Biology (General)</text>
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  <item itemId="1394" public="1" featured="0">
    <fileContainer>
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          <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>
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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>
        </elementSet>
      </elementSetContainer>
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    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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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">
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            <description>A name given to the resource</description>
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              <elementText elementTextId="13328">
                <text>A Meta-Analysis of Multiple Whole Blood Gene Expression Data Unveils a Diagnostic Host-Response Transcript Signature for Respiratory Syncytial Virus</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="13329">
                <text>Ruth Barral-Arca, Alberto Gómez-Carballa, Miriam Cebey-López, Xabier Bello, Federico Martinón-Torres, Antonio Salas</text>
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            <description>An account of the resource</description>
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                <text>Respiratory syncytial virus (RSV) is one of the major causes of acute lower respiratory tract infection worldwide. The absence of a commercial vaccine and the limited success of current therapeutic strategies against RSV make further research necessary. We used a multi-cohort analysis approach to investigate host transcriptomic biomarkers and shed further light on the molecular mechanism underlying RSV-host interactions. We meta-analyzed seven transcriptome microarray studies from the public Gene Expression Omnibus (GEO) repository containing a total of 922 samples, including RSV, healthy controls, coronaviruses, enteroviruses, influenzas, rhinoviruses, and coinfections, from both adult and pediatric patients. We identified &amp;gt; 1500 genes differentially expressed when comparing the transcriptomes of RSV-infected patients against healthy controls. Functional enrichment analysis showed several pathways significantly altered, including immunologic response mediated by RSV infection, pattern recognition receptors, cell cycle, and olfactory signaling. In addition, we identified a minimal 17-transcript host signature specific for RSV infection by comparing transcriptomic profiles against other respiratory viruses. These multi-genic signatures might help to investigate future drug targets against RSV infection.</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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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Meta-analysis, RNA, transcriptomic, RSV, Respiratory Syncytial Virus, array</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="13333">
                <text>DOI: 10.3390/ijms21051831</text>
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                <text>International Journal of Molecular Sciences</text>
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            <name>Publisher</name>
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                <text>MDPI AG</text>
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                <text>Biology (General), Chemistry</text>
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                <text>EN</text>
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        <src>https://www.socictopen.socict.org/files/original/c3d3eb2609ea8ddeafd35fd4e6c67db7.pdf</src>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A metagenomic viral discovery approach identifies potential zoonotic and novel mammalian viruses in Neoromicia bats within South Africa.</text>
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                <text>Marike Geldenhuys, Marinda Mortlock, Jacqueline Weyer, Oliver Bezuidt, Ernest C J Seamark, Teresa Kearney, Cheryl Gleasner, Tracy H Erkkila, Helen Cui, Wanda Markotter</text>
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                <text>Species within the Neoromicia bat genus are abundant and widely distributed in Africa. It is common for these insectivorous bats to roost in anthropogenic structures in urban regions. Additionally, Neoromicia capensis have previously been identified as potential hosts for Middle East respiratory syndrome (MERS)-related coronaviruses. This study aimed to ascertain the gastrointestinal virome of these bats, as viruses excreted in fecal material or which may be replicating in rectal or intestinal tissues have the greatest opportunities of coming into contact with other hosts. Samples were collected in five regions of South Africa over eight years. Initial virome composition was determined by viral metagenomic sequencing by pooling samples and enriching for viral particles. Libraries were sequenced on the Illumina MiSeq and NextSeq500 platforms, producing a combined 37 million reads. Bioinformatics analysis of the high throughput sequencing data detected the full genome of a novel species of the Circoviridae family, and also identified sequence data from the Adenoviridae, Coronaviridae, Herpesviridae, Parvoviridae, Papillomaviridae, Phenuiviridae, and Picornaviridae families. Metagenomic sequencing data was insufficient to determine the viral diversity of certain families due to the fragmented coverage of genomes and lack of suitable sequencing depth, as some viruses were detected from the analysis of reads-data only. Follow up conventional PCR assays targeting conserved gene regions for the Adenoviridae, Coronaviridae, and Herpesviridae families were used to confirm metagenomic data and generate additional sequences to determine genetic diversity. The complete coding genome of a MERS-related coronavirus was recovered with additional amplicon sequencing on the MiSeq platform. The new genome shared 97.2% overall nucleotide identity to a previous Neoromicia-associated MERS-related virus, also from South Africa. Conventional PCR analysis detected diverse adenovirus and herpesvirus sequences that were widespread throughout Neoromicia populations in South Africa. Furthermore, similar adenovirus sequences were detected within these populations throughout several years. With the exception of the coronaviruses, the study represents the first report of sequence data from several viral families within a Southern African insectivorous bat genus; highlighting the need for continued investigations in this regard.</text>
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                <text>2018</text>
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                <text>DOI: 10.1371/journal.pone.0194527</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="1224">
                <text>PLoS ONE</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Public Library of Science (PLoS)</text>
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                <text>Science, Medicine</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>EN</text>
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