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                  <text>Dominio científico: Coronavirus</text>
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                <text>The role of innate immune cells response in COVID-19</text>
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                <text>Aleem Ahmed Khan</text>
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                <text>[J Med Allied Sci 2020; 10(2.000): 41-42]</text>
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                <text>covid-19, Immunology</text>
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                <text>10.5455/jmas.110798</text>
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                <text>Deccan College of Medical Sciences</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>COVID-19: A Bibliometric Analysis and Insights</text>
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                <text>Chandra K. Jaggi, Prerna Gautam, Sumit Maheshwari, Singh Mathuria Kaushal-Deep, Abdul Rashid Bhat</text>
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                <text>The current outbreak of the coronavirus disease has left the whole world traumatised. The illness triggered by the novel coronavirus is named as COVID-19. It is pre-fixed with the word “novel” because it comes under the new strain of the virus that has not been reported before. This virus outbreak has disrupted human life in the most petrifying way worldwide. The present study aims to analyse the work done in this field through a state-of-the-art review of articles based on COVID-19 and discuss the current trends in the epidemiology of this disease entity with special reference to India and the effects of this pandemic on the environment. The time frame selected for review is the beginning of this pandemic to April 10th, 2020. Scopus® database is used to carry out the analysis. Moreover, the most contributed authors, institutions, countries, etc. are showed through the analysis. The purpose of this review is to get an idea about the direction of the flow of current research, the association of various authors with each other, the role of collaboration between several institutions and the position of India in current explosive ongoing research.</text>
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                <text>literature review, covid-19, bibliometric analysis, Research Methodology</text>
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                <text>10.33889/IJMEMS.2020.5.6.088</text>
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                <text>International Journal of Mathematical, Engineering and Management Sciences</text>
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                <text>Mathematics, Technology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Covid-19, globalización, complejidad e incertidumbre: algunas reflexiones sobre gestión empresarial en tiempos de crisis y más allá</text>
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            <name>Creator</name>
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                <text>Nerea San-Martín-Albizuri, Arturo Rodríguez-Castellanos</text>
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                <text>La pandemia de la covid-19 ha inducido una fuerte crisis económica, de duración e intensidad difíciles de prever. Muchas empresas de diferentes sectores han padecido sus efectos.¿Qué puede hacerse para asegurar la supervivencia de las empresas, no solo frente a los efectos inmediatos de la crisis, sino, a más largo plazo, para superar las dificultades de un entorno progresivamente complejo e incierto? En este trabajo pretendemos aportar algunas respuestas al respecto.Por ello, tras examinar las características de esta crisis, tanto en sus diferencias como en sus similitudes con crisis anteriores, y aventurar algunas de las consecuencias esperables de la misma, se abordan sugerencias en el ámbito empresarial, tanto para superar sus efectos inmediatos como para afrontar la supervivencia empresarial a más largo plazo. A este último respecto,  se plantea la consecución de dos propósitos básicos: la innovación y la sostenible. Y para ello deben desarrollarse una serie de capacidades, en especial tres ambidestrezas.</text>
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                <text>covid-19, Crisis económica, Globalización, Complejidad, Incertidumbre, respuesta empresarial</text>
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                <text>https://doi.org/10.22579/23463910.219</text>
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                <text>Revista Geon</text>
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                <text>Universidad de los Llanos</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>Business, Commerce</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Papain-Like Proteases as Coronaviral Drug Targets: Current Inhibitors, Opportunities, and Limitations</text>
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                <text>Andrey  A. Zamyatnin, Anastasiia  I. Petushkova</text>
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                <text>Papain-like proteases (PLpro) of coronaviruses (CoVs) support viral reproduction and suppress the immune response of the host, which makes CoV PLpro perspective pharmaceutical targets. Their inhibition could both prevent viral replication and boost the immune system of the host, leading to the speedy recovery of the patient. Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the third CoV outbreak in the last 20 years. Frequent mutations of the viral genome likely lead to the emergence of more CoVs. Inhibitors for CoV PLpro can be broad-spectrum and can diminish present and prevent future CoV outbreaks as PLpro from different CoVs have conservative structures. Several inhibitors have been developed to withstand SARS-CoV and Middle East respiratory syndrome CoV (MERS-CoV). This review summarizes the structural features of CoV PLpro, the inhibitors that have been identified over the last 20 years, and the compounds that have the potential to become novel effective therapeutics against CoVs in the near future.</text>
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                <text>coronavirus, Outbreak, inhibitor, papain-like proteases</text>
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                <text>10.3390/ph13100277</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, Pharmacy and materia medica</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Application of Lateral Transshipment in Cost Reduction of Decentralized Systems</text>
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                <text>Wenjing Shen, Yi Liao, Jun Li, Xinxin Hu, Ying Li</text>
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                <text>COVID-19 has exposed the global supply chains to great vulnerability. In such extreme circumstances, product availability becomes a primary concern. This paper studies a basic inventory management strategy—lateral transshipment—under decentralized systems, which may play an important role in dealing with stockouts during unexpected crises. Lateral transshipments not only react quickly to stockout, but are also environmentally friendly due to the significant reduction of production and transportation pollution. This paper studies optimal lateral transshipment and replenishment decisions under a decentralized setting. We construct a multi-stage stochastic model that captures demand uncertainty and customer switching behavior. We demonstrate that, similar to the centralized setting, the optimal transshipment decision follows a double-threshold structure. The optimal replenishment quantities are determined under two pricing mechanisms—individual mechanism (IP) and negotiated mechanism (NP). Numerical examples are provided to demonstrate the impact of lateral transshipment on supply chain cost reduction.</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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              <elementText elementTextId="46488">
                <text>sustainability, Supply Chain Management, Lateral transshipment, random switching</text>
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                <text>10.3390/su12125081</text>
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                <text>Biotemas</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="46491">
                <text>Universidade Federal de Santa Catarina</text>
              </elementText>
            </elementTextContainer>
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                <text>Environmental effects of industries and plants, Renewable energy sources, Environmental sciences</text>
              </elementText>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>The social underpinnings of mental distress in the time of COVID-19 – time for urgent action [version 1; peer review: 2 approved]</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="46477">
                <text>Sarah Carr, Nikolas Rose, Nick Manning, Richard Bentall, Kamaldeep Bhui, Rochelle Burgess, Flora Cornish, Delan Devakumar, Jennifer B. Dowd, Stefan Ecks, Alison Faulkner, Alex Ruck Keene, James Kirkbride, Martin Knapp, Anne M. Lovell, Paul Martin, Joanna Moncrieff, Hester Parr, Martyn Pickersgill, Genevra Richardson, Sally Sheard</text>
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            <description>An account of the resource</description>
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                <text>We argue that predictions of a ‘tsunami’ of mental health problems as a consequence of the pandemic of coronavirus disease 2019 (COVID-19) and the lockdown are overstated; feelings of anxiety and sadness are entirely normal reactions to difficult circumstances, not symptoms of poor mental health.  Some people will need specialised mental health support, especially those already leading tough lives; we need immediate reversal of years of underfunding of community mental health services.  However, the disproportionate effects of COVID-19 on the most disadvantaged, especially BAME people placed at risk by their social and economic conditions, were entirely predictable. Mental health is best ensured by urgently rebuilding the social and economic supports stripped away over the last decade. Governments must pump funds into local authorities to rebuild community services, peer support, mutual aid and local community and voluntary sector organisations.  Health care organisations must tackle racism and discrimination to ensure genuine equal access to universal health care.  Government must replace highly conditional benefit systems by something like a universal basic income. All economic and social policies must be subjected to a legally binding mental health audit. This may sound unfeasibly expensive, but the social and economic costs, not to mention the costs in personal and community suffering, though often invisible, are far greater.</text>
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                <text>2020</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="46480">
                <text>10.12688/wellcomeopenres.16123.1</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="46481">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="46482">
                <text>Universidade Federal de Santa Catarina</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Science, Medicine</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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                <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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        <name>Dublin Core</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="46468">
                <text>Establishment, immortalisation and characterisation of pteropid bat cell lines.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="46469">
                <text>Gary Crameri, Shawn Todd, Samantha Grimley, Jennifer A McEachern, Glenn A Marsh, Craig Smith, Mary Tachedjian, Carol De Jong, Elena R Virtue, Meng Yu, Dieter Bulach, Jun-Ping Liu, Wojtek P Michalski, Deborah Middleton, Hume E Field, Lin-Fa Wang</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="46470">
                <text>BACKGROUND: Bats are the suspected natural reservoir hosts for a number of new and emerging zoonotic viruses including Nipah virus, Hendra virus, severe acute respiratory syndrome coronavirus and Ebola virus. Since the discovery of SARS-like coronaviruses in Chinese horseshoe bats, attempts to isolate a SL-CoV from bats have failed and attempts to isolate other bat-borne viruses in various mammalian cell lines have been similarly unsuccessful. New stable bat cell lines are needed to help with these investigations and as tools to assist in the study of bat immunology and virus-host interactions. METHODOLOGY/FINDINGS: Black flying foxes (Pteropus alecto) were captured from the wild and transported live to the laboratory for primary cell culture preparation using a variety of different methods and culture media. Primary cells were successfully cultured from 20 different organs. Cell immortalisation can occur spontaneously, however we used a retroviral system to immortalise cells via the transfer and stable production of the Simian virus 40 Large T antigen and the human telomerase reverse transcriptase protein. Initial infection experiments with both cloned and uncloned cell lines using Hendra and Nipah viruses demonstrated varying degrees of infection efficiency between the different cell lines, although it was possible to infect cells in all tissue types. CONCLUSIONS/SIGNIFICANCE: The approaches developed and optimised in this study should be applicable to bats of other species. We are in the process of generating further cell lines from a number of different bat species using the methodology established in this study.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="46471">
                <text>2009</text>
              </elementText>
            </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="46472">
                <text>10.1371/journal.pone.0008266</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="46473">
                <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="46474">
                <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="46475">
                <text>Science, Medicine</text>
              </elementText>
            </elementTextContainer>
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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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              <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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        <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>Severe Acute Respiratory Syndrome Coronavirus 2 Transmission Potential, Iran, 2020</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="46460">
                <text>Kamalich Muniz-Rodriguez, Isaac Chun-Hai Fung, Shayesteh R. Ferdosi, Sylvia K. Ofori, Yiseul Lee, Amna Tariq, Gerardo Chowell</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="46461">
                <text>To determine the transmission potential of severe acute respiratory syndrome coronavirus 2 in Iran in 2020, we estimated the reproduction number as 4.4 (95% CI 3.9–4.9) by using a generalized growth model and 3.5 (95% CI 1.3–8.1) by using epidemic doubling time. The reproduction number decreased to 1.55 after social distancing interventions were implemented.</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="46462">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="46463">
                <text>Viruses, covid-19, SARS-CoV-2, severe acute respiratory syndrome coronavirus 2, coronavirus disease, 2019 novel coronavirus disease</text>
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            </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="46464">
                <text>10.3201/eid2608.200536</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="46465">
                <text>Emerging Infectious Diseases</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="46466">
                <text>Centers for Disease Control and Prevention</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="46467">
                <text>Medicine, Infectious and parasitic diseases</text>
              </elementText>
            </elementTextContainer>
          </element>
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  <item itemId="5176" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/78470f3beed7b948242fa72b4dd95592.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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            <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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            </element>
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    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="46451">
                <text>Characteristics, Outcomes and Indicators of Severity for COVID-19 Among Sample of ESNA Quarantine Hospital&amp;rsquo;s Patients, Egypt: A Retrospective Study</text>
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            </elementTextContainer>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="46452">
                <text>Ghweil AA, Hassan MH, Khodeary A, Mohamed AO, Mohammed HM, Abdelazez AA, Osman HA, Bazeed SES</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="46453">
                <text>Ali A Ghweil,1 Mohammed H Hassan,2 Ashraf Khodeary,3 Ahmed Okasha Mohamed,4 Haggagy Mansour Mohammed,5 Ahmed Alyan Abdelazez,1 Heba Ahmed Osman,1 Shamardan Ezzeldin S Bazeed1 1Department of Tropical Medicine and Gastroenterology, Faculty of Medicine, South Valley University, Qena 83523, Egypt; 2Department of Medical Biochemistry, Faculty of Medicine, South Valley University, Qena 83523, Egypt; 3Clinical Pathology Department, Faculty of Medicine, Sohag University, Sohag 82519, Egypt; 4Department of Radiology, Faculty of Medicine, South Valley University, Qena 83523, Egypt; 5Department of Chest Diseases, Faculty of Medicine, South Valley University, Qena 83523, EgyptCorrespondence: Mohammed H HassanMedical Biochemistry Department, Faculty of Medicine, South Valley University, Qena, EgyptTel +201098473605Email Mohammedhosnyhassaan@yahoo.comBackground: The risk factors, disease characteristics, severity, and mortality of COVID-19 are unclear, particularly in Egypt.Objective: The objective was to analyze the patients&amp;rsquo; characteristics, hematological, biochemical, and chest imaging findings among the cohort of patients with COVID-19 in Egypt and also to shed light on the predictors of COVID-19 severity.Patients and Methods: A retrospective study was conducted on 66 patients with COVID-19 in Egypt. Medical history, imaging data (CT chest findings), and measured hematological and biochemical parameters at diagnosis were recorded in the form of complete blood counts and differential counts; CRP, ESR, serum ferritin, creatinine, and liver function tests . Results of real-time reverse transcription-polymerase chain reaction (rRT-PCR) for detection of SARS-CoV-2 RNA at diagnosis and during follow up of these patients were also recorded.Results: The study included 36 patients with mild to moderate COVID-19 and 30 patients with severe/critical infection. There was a significant older age among severe (62.6 years old &amp;plusmn; 10.1SD) than mild to moderate infection (55.5 &amp;plusmn; 10.1) (p˂0.05). Fever, dry cough, dyspnea, and sore throat malaise were highly frequent among COVID-19 patients, while headache and diarrhea were the least frequently occurring manifestations. All included cases (30 patients, 100%) with severe COVID-19 showed crazy-paving appearance (in the form of reticular and/or interlobular septal thickening) with or without GGO. There were significantly lower mean values of WBCs, lymphocytic count, total protein, and albumin among the severely infected than those who had mild to moderate COVID-19 infection, p˂0.05 for all. Additionally, there were significantly higher mean values of CRP, ESR, ferritin, ALT, and AST among patients with severe/critical COVID-19 when compared with those having mild to moderate COVID-19, p˂0.05 for all.Conclusion: Among the studied demographic, clinical, hematological, biochemical, and imaging data, dyspnea, diabetes mellitus, lymphopenia, raised CRP, ESR, ferritin, ALT, AST, low albumin, and presence of CT chest findings could be considered as predictors for COVID-19 severity using binary logistic regression analysis.Keywords: COVID-19, Egypt, clinical data, hematological parameters, SARS-CoV-2 RNA, biochemical markers, severity</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="46454">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="46455">
                <text>Egypt, covid-19, severity, clinical data, hematological parameters, Biochemical markers</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="46456">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Infectious and parasitic diseases</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Neta  S. Zuckerman, Rakefet Pando, Efrat Bucris, Yaron Drori, Yaniv Lustig, Oran Erster, Orna Mor, Ella Mendelson, Michal Mandelboim</text>
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                <text>SARS-CoV-2 has become a major global concern as of December 2019, particularly affecting healthcare workers. As person-to-person transmission is airborne, crowded closed spaces have high potential for rapid virus spread, especially early in the pandemic when social distancing and mask wearing were not mandatory. This retrospective study thoroughly investigates a small-scale SARS-CoV-2 outbreak in Israel’s central virology laboratory (ICVL) in mid-March 2020, in which six staff members and two related family members were infected. Suspicions regarding infection by contaminated surfaces in ICVL facilities were nullified by SARS-CoV-2 negative real time polymerase chain reaction (PCR) of work surfaces swipe tests. Complete SARS-CoV-2 genomes were sequenced and mutation analyses showed inclusion of all samples to clades 20B and 20C, possessing the spike mutation D614G. Phylogenetic analysis clarified transmission events, confirming S1 as having infected at least three other staff members and refuting the association of a staff member’s infected spouse with the ICVL transmission cluster. Finally, serology tests exhibited IgG and IgA antibodies in all infected individuals and revealed the occurrence of asymptomatic infections in additional staff members. This study demonstrates the advantages of molecular epidemiology in elucidating transmission events and exemplifies the importance of good laboratory practice, distancing and mask wearing in preventing SARS-CoV-2 spread, specifically in healthcare facilities.</text>
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                <text>2019ncov, covid-19, infection, SARS-CoV-2, staff, Next generation sequencing (NGS)</text>
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                <text>10.3390/v12080854</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>Microbiology</text>
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