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                <text>Timothée Bruel, Olivier Schwartz, Stéphane Marot, Isabelle Malet, Valentin Leducq, Karen Zafilaza, Delphine Sterlin, Delphine Planas, Adélie Gothland, Aude Jary, Karim Dorgham, the Sorbonne Université SARS-CoV-2 Neutralizing Antibodies Study Group, Sonia Burrel, David Boutolleau, Guy Gorochov, Vincent Calvez, Anne-Geneviève Marcelin</text>
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                <text>The humoral immune response to SARS-CoV-2 infection is not yet fully understood. Here, Marot et al. monitor the longitudinal profile and neutralizing activity of IgG, IgA, and IgM among 26 healthcare workers and provide evidence for a short-lasting humoral immune protection due to a decrease of neutralizing antibody titers within 3 months.</text>
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                <text>Grant Young, Xiaohua Peng, Andre Rebaza, Santos Bermejo, Chang De, Lokesh Sharma, Charles S. Dela Cruz</text>
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                <text>Rapid detection of bovine coronavirus by a semi-nested RT-PCR Detecção rápida do Coronavírus Bovino (BCoV) por meio de uma semi-nested RT-PCR</text>
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                <text>Karen M. Asano, Sibele P. Souza, Sheila O.S. Silva, Leonardo J. Richtzenhain, Paulo E. Brandão</text>
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                <text>Bovine coronavirus (BCoV) is a member of the group 2 of the Coronavirus (Nidovirales: Coronaviridae) and the causative agent of enteritis in both calves and adult bovine, as well as respiratory disease in calves. The present study aimed to develop a semi-nested RT-PCR for the detection of BCoV based on representative up-to-date sequences of the nucleocapsid gene, a conserved region of coronavirus genome. Three primers were designed, the first round with a 463bp and the second (semi-nested) with a 306bp predicted fragment. The analytical sensitivity was determined by 10-fold serial dilutions of the BCoV Kakegawa strain (HA titre: 256) in DEPC treated ultra-pure water, in fetal bovine serum (FBS) and in a BCoV-free fecal suspension, when positive results were found up to the 10-2, 10-3 and 10-7 dilutions, respectively, which suggests that the total amount of RNA in the sample influence the precipitation of pellets by the method of extraction used. When fecal samples was used, a large quantity of total RNA serves as carrier of BCoV RNA, demonstrating a high analytical sensitivity and lack of possible substances inhibiting the PCR. The final semi-nested RT-PCR protocol was applied to 25 fecal samples from adult cows, previously tested by a nested RT-PCR RdRp used as a reference test, resulting in 20 and 17 positives for the first and second tests, respectively, and a substantial agreement was found by kappa statistics (0.694). The high sensitivity and specificity of the new proposed method and the fact that primers were designed based on current BCoV sequences give basis to a more accurate diagnosis of BCoV-caused diseases, as well as to further insights on protocols for the detection of other Coronavirus representatives of both Animal and Public Health importance.O Coronavírus bovino (BCoV) pertence ao grupo 2 do gênero Coronavirus (Nidovirales: Coronaviridae) e é agente causador de enterites tanto em bezerros como em bovinos adultos, bem como de doença respiratória em bezerros. O presente estudo teve por objetivo desenvolver uma semi-nested RT-PCR para a detecção do BCoV com base em seqüências representativas e recentes do gene do nucleocapsídeo, região conservada do genoma dos coronavírus. Três primers foram desenhados, a primeira amplificação com um fragmento esperado de 463pb e a segunda (semi-nested) com um fragmento esperado de 306pb. A sensibilidade analítica foi determinada pela diluição do BCoV cepa Kakegawa (título HA: 256) na base de 10 em água ultra-pura tratada com DEPC, em soro fetal bovino (SFB) e em uma suspensão fecal negativa para o BCoV, onde foram encontrados resultados positivos até a diluição de 10-2, 10-3 e 10-7, respectivamente. Este resultado sugere que a quantidade total de RNA na amostra influencia na precipitação dos pellets pelo método de extração utilizado. Quando se utiliza amostra fecal, a grande quantidade de RNA total funciona como carreadora do RNA do BCoV, demonstrando elevada sensibilidade analítica e ausência de possíveis substâncias inibidoras da PCR. O protocolo final da semi-nested RT-PCR foi aplicado a 25 amostras fecais de vacas adultas, previamente avaliadas por uma nested RT-PCR RdRp utilizada como teste de referência, resultando em 20 e 17 amostras positivas para o primeiro e segundo teste, respectivamente. Os resultados dos dois sistema de diagnóstico apresentaram concordância substancial (kappa: 0,694). A elevada sensibilidade e especificidade do novo método proposto e o fato de que os primers foram desenhados baseados em sequências atuais do BCoV, oferecem bases para o diagnóstico mais acurado de infecções causadas pelo BCoV, assim como para novas perspectivas em protocolos de detecção de outros Coronavírus de importância tanto em saninade animal quanto em saúde pública.</text>
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                <text>2009</text>
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                <text>Coronavírus bovino, Diarreia, PCR, Diagnóstico, Bovine coronavirus, diarrhea, diagnosis</text>
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                <text>DOI: 10.1590/S0100-736X2009001100001</text>
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                <text>Pesquisa Veterinária Brasileira</text>
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                <text>Colégio Brasileiro de Patologia Animal (CBPA)</text>
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                <text>Maja Popović, Guodong Xie, Andy Way, Rejwanul Haque, Federico Gaspari, Alberto Poncelas</text>
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                <text>Every day, more people are becoming infected and dying from exposure to COVID-19. Some countries in Europe like Spain, France, the UK and Italy have suffered particularly badly from the virus. Others such as Germany appear to have coped extremely well. Both health professionals and the general public are keen to receive up-to-date information on the effects of the virus, as well as treatments that have proven to be effective. In cases where language is a barrier to access of pertinent information, machine translation (MT) may help people assimilate information published in different languages. Our MT systems trained on COVID-19 data are freely available for anyone to use to help translate information (such as promoting good practice for symptom identification, prevention, and treatment) published in German, French, Italian, Spanish into English, as well as the reverse direction.</text>
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                <text>DOI: 10.3390/informatics7020019</text>
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                <text>Rapid Generation of Human-Like Neutralizing Monoclonal Antibodies in Urgent Preparedness for Influenza Pandemics and Virulent Infectious Diseases.</text>
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                <text>Weixu Meng, Weiqi Pan, Anna J. X. Zhang, Zhengfeng Li, Guo Weiwei, Li Qiang Feng, Zhenyuan Dong, Chufang Li, Xiangjing Hu, Caijun Sun, Qinfang Luo, Kwok-yung Yuen, Nanshan Zhong, Ling Chen</text>
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                <text>The outbreaks of emerging infectious diseases caused by pathogens such as SARS coronavirus, H5N1, H1N1, and recently H7N9 influenza viruses, have been associated with significant mortality and morbidity in humans. Neutralizing antibodies from individuals who have recovered from an infection confer therapeutic protection to others infected with the same pathogen. However, survivors may not always be available for providing plasma or for the cloning of monoclonal antibodies (mAbs).The genome and the immunoglobulin genes in rhesus macaques and humans are highly homologous; therefore, we investigated whether neutralizing mAbs that are highly homologous to those of humans (human-like) could be generated. Using the H5N1 influenza virus as a model, we first immunized rhesus macaques with recombinant adenoviruses carrying a synthetic gene encoding hemagglutinin (HA). Following screening an antibody phage display library derived from the B cells of immunized monkeys, we cloned selected macaque immunoglobulin heavy chain and light chain variable regions into the human IgG constant region, which generated human-macaque chimeric mAbs exhibiting over 97% homology to human antibodies. Selected mAbs demonstrated potent neutralizing activities against three clades (0, 1, 2) of the H5N1 influenza viruses. The in vivo protection experiments demonstrated that the mAbs effectively protected the mice even when administered up to 3 days after infection with H5N1 influenza virus. In particular, mAb 4E6 demonstrated sub-picomolar binding affinity to HA and superior in vivo protection efficacy without the loss of body weight and obvious lung damage. The analysis of the 4E6 escape mutants demonstrated that the 4E6 antibody bound to a conserved epitope region containing two amino acids on the globular head of HA.Our study demonstrated the generation of neutralizing mAbs for potential application in humans in urgent preparedness against outbreaks of new influenza infections or other virulent infectious diseases.</text>
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                <text>2013</text>
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                <text>DOI: 10.1371/journal.pone.0066276</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="3096">
                <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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            <description>A language of the resource</description>
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                <text>EN</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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                  <text>Dominio científico: Coronavirus</text>
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      <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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        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="27857">
                <text>Rapid Genome Sequencing of RNA Viruses</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="27858">
                <text>Tomohiko Takasaki, Hidekazu Nishimura, Masayuki Saijo, Shigeru Morikawa, Shuetsu Fukushi, Tetsuya Mizutani, Koji Ishii, Mikako Ito, Tetsuro Suzuki, Ichiro Kurane, Chang-Kweng Lim, Hiroyuki Shimizu, Minetaro Arita, Michiko Okamoto, Kazuya Shirato, Daiji Endoh, Reiko Nerome</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="27859">
                <text>We developed a system for rapid determination of viral RNA sequences whereby genomic sequence is obtained from cultured virus isolates without subcloning into plasmid vectors. This method affords new opportunities to address the challenges of unknown or untypeable emerging viruses.</text>
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            </elementTextContainer>
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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="27860">
                <text>2007</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="27861">
                <text>West Nile Virus, direct sequencing, Whole genome amplification, SARS-CoV, Emerging infectious virus, rapid determination system</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="27862">
                <text>DOI: 10.3201/eid1302.061032</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="27863">
                <text>Emerging Infectious Diseases</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="27864">
                <text>Centers for Disease Control and Prevention</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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              <elementText elementTextId="27865">
                <text>Infectious and parasitic diseases, Medicine</text>
              </elementText>
            </elementTextContainer>
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        <src>http://socictopen.socict.org/files/original/32465ba7b8eab3f13dbd6c0d2eff5389.pdf</src>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                <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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          <element elementId="50">
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            <description>A name given to the resource</description>
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              <elementText elementTextId="32113">
                <text>Rapid guide to the management of cardiac patients during the COVID-19 pandemic in Egypt: “a position statement of the Egyptian Society of Cardiology”</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="32114">
                <text>Magdy AbdelHamid, Adel El Etriby, Khalid Shokry, Hamza Kabil, Omar Awwad, Amr El Hadidy, Sameh Shaheen, Hsam Hasan-Ali, Islam Shawky, Ahmad Magdy, Gamila Nasr, Mohamad Zaki, Ahmad Hegab</text>
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          <element elementId="41">
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            <description>An account of the resource</description>
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              <elementText elementTextId="32115">
                <text>Abstract COVID-19 pandemic poses an enormous challenge to healthcare system in Egypt. This document is a position statement from the Egyptian Society of Cardiology. It aims to provide information to cardiovascular healthcare providers in Egypt to guarantee delivery of quality patient care and ensure adequate levels of protection against infection during the COVID-19 pandemic. Older patients and those with cardiovascular disease are at higher risk of mortality. The current situation requires unusual allocation of resources which may negatively impact the care of patients with cardiovascular disease. Cardiologists should be prepared in the COVID-19 pandemic. The challenge is in providing the best quality of care despite limited resources while keeping all medical staff as safe as possible. Consider deferring elective procedures whenever possible. All medical staff should undergo rigorous training on infection control and the use of high-quality personal protection equipment. Cardiologists should promote telemedicine in the outpatient setting, prioritize outpatient contacts, and avoid nosocomial dissemination of the virus to patients and healthcare providers. A much conservative approach for emergent cardiac patients is recommended, and invasive interventions are reserved for high risk hemodynamically unstable patients. During the pandemic, the most important principles of treatment should be controlling the spread of infection as the first priority, prompt assessment of patient risk, recommending conservative medical therapy rather than invasive interventions, and strict infection control measures to limit infection spread within the hospital and to healthcare workers.</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="32116">
                <text>2020</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32117">
                <text>Cardiovascular disease, Egypt, Pandemic, 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>
            <elementTextContainer>
              <elementText elementTextId="32118">
                <text>DOI: 10.1186/s43044-020-00061-5</text>
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            </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="32119">
                <text>The Egyptian Heart Journal</text>
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            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="32120">
                <text>SpringerOpen</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="32121">
                <text>Diseases of the circulatory (Cardiovascular) system</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
  </item>
  <item itemId="2986" public="1" featured="0">
    <fileContainer>
      <file fileId="2986">
        <src>http://socictopen.socict.org/files/original/0c18a130ce704497e49adab54b4d43b1.pdf</src>
        <authentication>023857cc2a777c91a369b3341bc2f718</authentication>
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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>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="27961">
                <text>Rapid Identification of Emerging Pathogens: Coronavirus</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="27962">
                <text>Yun Jiang, Thomas A. Hall, Rangarajan Sampath, Michael J. Buchmeier, John A. McNeil, David J Ecker, Mark W Eshoo, Raymond Ranken, Steven A Hofstadler, Lawrence B Blyn, Christian Massire, Stanley T Crooke, Patina M Harrell, Benjamin Neuman, Harold M. Levene, James C. Hannis, Jared J. Drader, Vivek Samant, Richard H. Griffey</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="27963">
                <text>We describe a new approach for infectious disease surveillance that facilitates rapid identification of known and emerging pathogens. The process uses broad-range polymerase chain reaction (PCR) to amplify nucleic acid targets from large groupings of organisms, electrospray ionization mass spectrometry for accurate mass measurements of PCR products, and base composition signature analysis to identify organisms in a sample. We demonstrate this principle by using 14 isolates of 9 diverse Coronavirus spp., including the severe acute respiratory syndrome–associated coronavirus (SARS-CoV). We show that this method could identify and distinguish between SARS and other known CoV, including the human CoV 229E and OC43, individually and in a mixture of all 3 human viruses. The sensitivity of detection, measured by using titered SARS-CoV spiked into human serum, was ≈1 PFU/mL. This approach, applicable to the surveillance of bacterial, viral, fungal, or protozoal pathogens, is capable of automated analysis of &gt;900 PCR reactions per day.</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="27964">
                <text>2005</text>
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            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="27965">
                <text>PCR, molecular epidemiology, emerging pathogens, Infectious disease surveillance, SARS virus, ESI mass spectrometry</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="27966">
                <text>DOI: 10.3201/eid1103.040629</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="27967">
                <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="27968">
                <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="27969">
                <text>Infectious and parasitic diseases, Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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    </elementSetContainer>
  </item>
  <item itemId="4235" public="1" featured="0">
    <fileContainer>
      <file fileId="4235">
        <src>http://socictopen.socict.org/files/original/40617a5ba1d0f561e3278955f46fb194.pdf</src>
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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>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="38672">
                <text>Rapid Implementation and Innovative Applications of a Virtual Intensive Care Unit During the COVID-19 Pandemic: Case Study</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="38673">
                <text>Dhala, Atiya, Sasangohar, Farzan, Kash, Bita, Ahmadi, Nima, Masud, Faisal</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="38674">
                <text>BackgroundThe COVID-19 pandemic has necessitated a rapid increase of space in highly infectious disease intensive care units (ICUs). At Houston Methodist Hospital (HMH), a virtual intensive care unit (vICU) was used amid the COVID-19 outbreak.             ObjectiveThe aim of this paper was to detail the novel adaptations and rapid expansion of the vICU that were applied to achieve patient-centric solutions while protecting staff and patients’ families during the pandemic.             MethodsThe planned vICU implementation was redirected to meet the emerging needs of conversion of COVID-19 ICUs, including alterations to staged rollout timing, virtual and in-person staffing, and scope of application. With the majority of the hospital critical care physician workforce redirected to rapidly expanded COVID-19 ICUs, the non–COVID-19 ICUs were managed by cardiovascular surgeons, cardiologists, neurosurgeons, and acute care surgeons. HMH expanded the vICU program to fill the newly depleted critical care expertise in the non–COVID-19 units to provide urgent, emergent, and code blue support to all ICUs.             ResultsVirtual family visitation via the Consultant Bridge application, palliative care delivery, and specialist consultation for patients with COVID-19 exemplify the successful adaptation of the vICU implementation. Patients with COVID-19, who were isolated and separated from their families to prevent the spread of infection, were able to virtually see and hear their loved ones, which bolstered the mental and emotional status of those patients. Many families expressed gratitude for the ability to see and speak with their loved ones. The vICU also protected medical staff and specialists assigned to COVID-19 units, reducing exposure and conserving personal protective equipment.             ConclusionsTelecritical care has been established as an advantageous mechanism for the delivery of critical care expertise during the expedited rollout of the vICU at Houston Methodist Hospital. Overall responses from patients, families, and physicians are in favor of continued vICU care; however, further research is required to examine the impact of innovative applications of telecritical care in the treatment of critically ill patients.</text>
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            <name>Date</name>
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                <text>10.2196/20143</text>
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            <name>Source</name>
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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, Computer applications to medicine. Medical informatics</text>
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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>Rapid implementation of virtual clinics due to COVID-19: report and early evaluation of a quality improvement initiative.</text>
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                <text>Lucy Davies, Luke Martin, Ruth Adam, Anthony William Gilbert, Joe C T Billany, Rebecca Tobin, Shiv Bagdai, Noreen Galvin, Ian Farr, Adam Allain, John Bateson</text>
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                <text>The COVID-19 outbreak has placed the National Health Service under significant strain. Social distancing measures were introduced in the UK in March 2020 and virtual consultations (via telephone or video call) were identified as a potential alternative to face-to-face consultations at this time. The Royal National Orthopaedic Hospital (RNOH) sees on average 11 200 face-to-face consultations a month. On average 7% of these are delivered virtually via telephone. In response to the COVID-19 crisis, the RNOH set a target of reducing face-to-face consultations to 20% of all outpatient attendances. This report outlines a quality improvement initiative to rapidly implement virtual consultations at the RNOH. The COVID-19 Action Team, a multidisciplinary group of healthcare professionals, was assembled to support the implementation of virtual clinics. The Institute for Healthcare Improvement approach to quality improvement was followed using the Plan-Do-Study-Act (PDSA) cycle. A process of enablement, process redesign, delivery support and evaluation were carried out, underpinned by Improvement principles. Following the target of 80% virtual consultations being set, 87% of consultations were delivered virtually during the first 6 weeks. Satisfaction scores were high for virtual consultations (90/100 for patients and 78/100 for clinicians); however, outside of the COVID-19 pandemic, video consultations would be preferred less than 50% of the time. Information to support the future redesign of outpatient services was collected. This report demonstrates that virtual consultations can be rapidly implemented in response to COVID-19 and that they are largely acceptable. Further initiatives are required to support clinically appropriate and acceptable virtual consultations beyond COVID-19. This project was submitted to the RNOH's Project Evaluation Panel and was classified as a service evaluation on 12 March 2020 (ref: SE20.09).</text>
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                <text>2020</text>
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                <text>quality improvement, telemedicine, PDSA</text>
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                <text>DOI: 10.1136/bmjoq-2020-000985</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="25623">
                <text>BMJ open quality</text>
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