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                <text>Neurotrauma is a critical public health problem that deserves the attention of the world health community. The unprecedented pandemic of SARS-COV 2 has led to a tremendous strain on medical facilities including intensive care and availability of blood products. In addition, due to lockdown in most nations and diverting of medical attention elsewhere, neurotrauma has taken a back seat. Despite this, any case of trauma presenting during this time should receive the best possible care. However, it is also imperative to safeguard the health care workers from this infection, too. The number of health care workers losing their lives to this infection is ever rising. We here present a possible workflow using a checklist approach such that errors and cross-infections are minimized and there is no reduction in the level of care received by any trauma case. This article has been written with a special focus on middle-income countries where resources may already be strained due to the sudden case burden. We hope to minimize death “caused” by COVID-19 and “related” to it.</text>
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                <text>Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2/2019-nCoV) infection has become a pandemic called COVID-19. The virus binds to angiotensin converting enzyme 2 (ACE2) and TMPRSS2 which are abundantly expressed on various human cells including lung epithelial cells and intestinal cells and the virus can infect these cells. Currently no specific treatments or vaccines are available for this disease. A per oral live attenuated vaccine can be a good strategy in SARS-CoV-2 infection because the attenuated virus initially infects the gut, stimulates the mucosa associated immune system sparing the respiratory system during the initial immune response. The live virus can also spread in the community boosting herd immunity.</text>
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              <name>Title</name>
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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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                <text>Unrealistic Optimism in the Time of Coronavirus Pandemic: May It Help to Kill, If So—Whom: Disease or the Person?</text>
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                <text>Maciej Banach, Dariusz Dolinski, Barbara Dolinska, Wojciech Kulesza, Barbara Zmaczynska-Witek</text>
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                <text>Objective: The results of numerous empirical studies have showed the occurrence of so-called unrealistic optimism. Thus, we aimed to investigate whether in the situation of an imminent coronavirus pandemic, people would still perceive themselves as being less exposed to the disease than others. Methods: Survey studies were conducted to examine the level of unrealistic optimism. Participants (n = 171, 67.3% of women) in a subjective way judged the risk of their coronavirus infection and the likelihood that this would happen to an average student of the same sex from their class. The survey was conducted in three waves: prior to the announcement of the first case of coronavirus (2–3 March), immediately after that announcement (5–6 March), and a few days later (9–10 March). Results: We showed that women estimated the chances of being infected as significantly higher (M = 4.52, SD = 2.079; t = 2.387; p = 0.018; Cohen’s d = 0.393) than men (M = 3.71, SD = 2.042). The phenomenon of unrealistic optimism was observed especially in men (as compared to other male participants) as it appeared in all three measures (M (you) = 3.95 vs. M (other male student) = 4.63; M = 3.71 vs. M = 4.68, and M = 4.46 vs. M = 5.38 in phase one, two, and three, respectively; p  0.006 for all comparison), but also in women in the last two measures (M(you) = 4.55 vs. M (other female student) = 4.95, and M = 4.99 vs. M = 5.38 in phase 2 and 3, respectively; p  0.012 for both comparisons). Conclusions: The study revealed a fairly general occurrence of unrealistic optimism, which was mainly observed in men as it appeared in all three measures, but also in women in the last two measures. This result is important for health experts who are responsible for making people comply with regulations concerning social distancing, putting masks on to stop infection, and staying at home. It is possible that unrealistically optimistic people will behave much less in line with the aforementioned recommendations, causing coronavirus to spread widely.</text>
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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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              <elementText elementTextId="23752">
                <text>Risk perception, unrealistic optimism, unrealistic pessimism, healthy illusion, threat and fear</text>
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                <text>DOI: 10.3390/jcm9051464</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="23754">
                <text>Journal of Clinical Medicine</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>MDPI AG</text>
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            </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>Medicine</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="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>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
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          </elementContainer>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="23757">
                <text>Decision Support Algorithm for Selecting an Antivirus Mask over COVID-19 Pandemic under Spherical Normal Fuzzy Environment</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="23758">
                <text>Xin Li, Harish Garg, Meng Qi, Zao-li Yang</text>
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            <description>An account of the resource</description>
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                <text>With the rapid outbreak of COVID-19, most people are facing antivirus mask shortages. Therefore, it is necessary to reasonably select antivirus masks and optimize the use of them for everyone. However, the uncertainty of the effects of COVID-19 and limits of human cognition add to the difficulty for decision makers to perfectly realize the purpose. To maximize the utility of the antivirus mask, we proposed a decision support algorithm based on the novel concept of the spherical normal fuzzy (SpNoF) set. In it, firstly, we analyzed the new score and accuracy function, improved operational rules, and their properties. Then, in line with these operations, we developed the SpNoF Bonferroni mean operator and the weighted Bonferroni mean operator, some properties of which are also examined. Furthermore, we established a multi-criteria decision-making method, based on the proposed operators, with SpNoF information. Finally, a numerical example on antivirus mask selection over the COVID-19 pandemic was given to verify the practicability of the proposed method, which the sensitive and comparative analysis was based on and was conducted to demonstrate the availability and superiority of our method.</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="23760">
                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="23761">
                <text>multicriteria decision making, COVID-19, Bonferroni mean operator, antivirus mask selection, spherical normal fuzzy set</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="23762">
                <text>DOI: 10.3390/ijerph17103407</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="23763">
                <text>International Journal of Environmental Research and Public Health</text>
              </elementText>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="23764">
                <text>MDPI AG</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="23765">
                <text>Medicine</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </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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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>21st-Century Broadway Musicals and the ‘Best Musical’ Tony Award: Trends and Impact</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="23767">
                <text>Matthew Hodge</text>
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          <element elementId="41">
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            <description>An account of the resource</description>
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                <text>Recent Broadway theatre seasons consistently saw record-breaking numbers of admissions and grosses, with musicals’ ticket sales making up 78–89% of annual Broadway grosses. The annual Tony Awards continue to serve as an influential theatre industry establishment that helps define a Broadway musical as exceptional and worthy of audiences, especially the awarding of the ‘Best Musical’ category (which can statistically have a profound impact on a production’s longevity). This article offers comprehensive surveying and discussions of significant components of a musical’s initial Broadway success in the 21st century. All 82 musicals that were nominated for or won the ‘Best Musical’ Tony Award between the years 2000 and 2019 are assessed for their source material and original Broadway run length. Subsequent discussions center on diversity and genres of musicals recognized by the Tony Awards, followed by conclusions and predictions of the COVID-19 pandemic’s impact on Broadway’s future and the influence of the ‘Best Musical’ Tony Award. The results of this study display observable patterns among the musicals surveyed, including screen (film/tv) being the most prominent source material and at least a 10–12 month run after the Tony Awards ceremonies for all ‘Best Musical’ winners.</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="23769">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="23770">
                <text>theatre, 21st Century, New York, Broadway, musicals, Tony Awards</text>
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            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="23771">
                <text>DOI: 10.3390/arts9020058</text>
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          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="23772">
                <text>Arts</text>
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            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="23773">
                <text>MDPI AG</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="23774">
                <text>Arts in general</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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              <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>Title</name>
            <description>A name given to the resource</description>
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                <text>Integración de herramientas bioinformáticas y métodos en biología molecular para el diseño de un kit diagnóstico del COVID-19: un ejemplo de aprendizaje significativo</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Javier Hernández-Fernández, Juan Carlos Arias, Catalina Rivera Forero, Luis Alejandro Yáñez Dukon, Carolina Herrera Khenayzir, Jonathan Niño Vargas, Pilar Rodríguez Becerra, Leslie Leal Mejía</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Como una forma pedagógica de aprendizaje activo, se relacionaron temas desarrollados en clase de biología molecular con la pandemia del coronavirus COVID-19 que en este momento avanza en casi la totalidad del planeta. Contar con un método eficiente para diagnosticar la infección durante el inicio de esta infección respiratoria aguda es importante para detectar tanto los pacientes sintomáticos como los asintomáticos. Por este motivo, se retó a los estudiantes de séptimo semestre de las carreras de biología marina y ambiental que cursan la materia biología molecular en la Universidad de Bogotá Jorge Tadeo Lozano a diseñar un método diagnóstico para el virus COVID 19 basado en RT PCR y qPCR. El objetivo de este ejercicio académico consistió en incentivar a los estudiantes para que propusieran un método efectivo que permita detectar el virus COVID 19 a través de los conocimientos adquiridos durante el curso. Se realizó una revisión de la literatura previa para identificar los métodos existentes para la detección del virus y con ayuda de herramientas bioinformáticas se realizó el análisis de las secuencias de los genomas del COVID 19, el SARS humano y el SARS de murciélago disponibles en GenBank.</text>
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                <text>2019</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>RT-qPCR, coronavirus, Pandemic, pandemia, SARS-CoV-2, contextualized education, educación contextualizada</text>
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            <name>Identifier</name>
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              <elementText elementTextId="23780">
                <text>DOI: 10.21789/22561498.1599</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Mutis</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="23782">
                <text>Universidad Jorge Tadeo Lozano</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Science, Social sciences (General), Science (General)</text>
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              <name>Title</name>
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                <text>Global Transmission, Spatial Segregation, and Recombination Determine the Long-Term Evolution and Epidemiology of Bovine Coronaviruses</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="23785">
                <text>Gilles Meyer, Ben Hause, Mariette F. Ducatez, Hervé Cassard, Elias Salem, Vijaykrishna Dhanasekaran, Sarah Maman</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="23786">
                <text>Bovine coronavirus (BCoV) is widespread in cattle and wild ruminant populations throughout the world. The virus causes neonatal calf diarrhea and winter dysentery in adult cattle, as well as upper and lower respiratory tract infection in young cattle. We isolated and deep sequenced whole genomes of BCoV from calves with respiratory distress in the south–west of France and conducted a comparative genome analysis using globally collected BCoV sequences to provide insights into the genomic characteristics, evolutionary origins, and global diversity of BCoV. Molecular clock analyses allowed us to estimate that the BCoV ancestor emerged in the 1940s, and that two geographically distinct lineages diverged from the 1960s–1970s. A recombination event in the spike gene (breakpoint at nt 1100) may be at the origin of the genetic divergence sixty years ago. Little evidence of genetic mixing between the spatially segregated lineages was found, suggesting that BCoV genetic diversity is a result of a global transmission pathway that occurred during the last century. However, we found variation in evolution rates between the European and non-European lineages indicating differences in virus ecology.</text>
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            </elementTextContainer>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="23787">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="23788">
                <text>France, recombination, molecular clock, Bovine coronavirus, geographic clustering</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="23789">
                <text>DOI: 10.3390/v12050534</text>
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            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="23790">
                <text>Viruses</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="23791">
                <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="23792">
                <text>Microbiology</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
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