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                  <text>Dominio científico: Coronavirus</text>
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                <text>Cotton-Tipped Plastic Swabs for SARS-CoV-2 RT-qPCR Diagnosis to Prevent Supply Shortages</text>
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                <text>Byron Freire-Paspuel, Marilyn Cruz, Miguel Angel Garcia-Bereguiain, Alberto Vélez, Patricio Vega-Mariño, Paulina Castillo, Eliana Elizabeth Gomez-Santos</text>
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                <text>CDC and WHO guidelines for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) diagnosis only recommend synthetic fiber swabs for nasopharyngeal (NP) sampling. We show that cotton-tipped plastic swabs do not inhibit PCR and have equivalent performance to rayon swabs. Cotton-tipped plastic swabs are massively produced worldwide and would prevent swab supply shortages under the current high SARS-CoV-2 testing demands, particularly in developing countries.</text>
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                <text>DOI: 10.3389/fcimb.2020.00356</text>
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                <text>Frontiers in Cellular and Infection Microbiology</text>
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                <text>Charles P. Gerba, Kelly R. Bright, Abhinav Mishra, Laurel Dunn, Govindaraj Dev Kumar, Anna Townsend, Ikechukwu Chukwuma Oguadinma</text>
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                <text>In December, 2019, a highly infectious and rapidly spreading new pneumonia of unknown cause was reported to the Chinese WHO Country Office. A cluster of these cases had appeared in Wuhan, a city in the Hubei Province of China. These infections were found to be caused by a new coronavirus which was given the name “2019 novel coronavirus” (2019-nCoV). It was later renamed “severe acute respiratory syndrome coronavirus 2,” or SARS-CoV-2 by the International Committee on Taxonomy of Viruses on February 11, 2020. It was named SARS-CoV-2 due to its close genetic similarity to the coronavirus which caused the SARS outbreak in 2002 (SARS-CoV-1). The aim of this review is to provide information, primarily to the food industry, regarding a range of biocides effective in eliminating or reducing the presence of coronaviruses from fomites, skin, oral/nasal mucosa, air, and food contact surfaces. As several EPA approved sanitizers against SARS-CoV-2 are commonly used by food processors, these compounds are primarily discussed as much of the industry already has them on site and is familiar with their application and use. Specifically, we focused on the effects of alcohols, povidone iodine, quaternary ammonium compounds, hydrogen peroxide, sodium hypochlorite (NaOCl), peroxyacetic acid (PAA), chlorine dioxide, ozone, ultraviolet light, metals, and plant-based antimicrobials. This review highlights the differences in the resistance or susceptibility of different strains of coronaviruses, or similar viruses, to these antimicrobial agents.</text>
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                <text>DOI: 10.3389/fmicb.2020.01351</text>
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                <text>Frontiers in Microbiology</text>
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                <text>Frontiers Media S.A.</text>
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                <text>Microbiology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Nanobodies: Prospects of Expanding the Gamut of Neutralizing Antibodies Against the Novel Coronavirus, SARS-CoV-2</text>
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                <text>Rocktotpal Konwarh</text>
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                <text>spike protein, neutralizing antibody, nanobodies, SARS-CoV-2, COVID-19</text>
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                <text>DOI: 10.3389/fimmu.2020.01531</text>
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                <text>Frontiers in Immunology</text>
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                <text>Frontiers Media S.A.</text>
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                <text>Immunologic diseases. Allergy</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Sustainable Smartphone-Based Healthcare Systems: A Systems Engineering Approach to Assess the Efficacy of Respiratory Monitoring Apps</text>
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                <text>Miad Faezipour, Misagh Faezipour</text>
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                <text>Recent technological developments along with advances in smart healthcare have been rapidly changing the healthcare industry and improving outcomes for patients. To ensure reliable smartphone-based healthcare interfaces with high levels of efficacy, a system dynamics model with sustainability indicators is proposed. The focus of this paper is smartphone-based breathing monitoring systems that could possibly use breathing sounds as the data acquisition input. This can especially be useful for the self-testing procedure of the ongoing global COVID-19 crisis in which the lungs are attacked and breathing is affected. The method of investigation is based on a systems engineering approach using system dynamics modeling. In this paper, first, a causal model for a smartphone-based respiratory function monitoring is introduced. Then, a systems thinking approach is applied to propose a system dynamics model of the smartphone-based respiratory function monitoring system. The system dynamics model investigates the level of efficacy and sustainability of the system by studying the behavior of various factors of the system including patient wellbeing and care, cost, convenience, user friendliness, in addition to other embedded software and hardware breathing monitoring system design and performance metrics (e.g., accuracy, real-time response, etc.). The sustainability level is also studied through introducing various indicators that directly relate to the three pillars of sustainability. Various scenarios have been applied and tested on the proposed model. The results depict the dynamics of the model for the efficacy and sustainability of smartphone-based breathing monitoring systems. The proposed ideas provide a clear insight to envision sustainable and effective smartphone-based healthcare monitoring systems.</text>
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                <text>2020</text>
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                <text>modeling, sustainability, respiration, system dynamics, Systems Engineering</text>
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                <text>DOI: 10.3390/su12125061</text>
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                <text>Sustainability</text>
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                <text>MDPI AG</text>
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                <text>Environmental sciences, Renewable energy sources, Environmental effects of industries and plants</text>
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                <text>The Impact of COVID-19 on Radiation Oncology and Cancer Care: A Perspective from the Cancer Belt Region of India</text>
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                <text>Rohit Mahajan, Sapna Marcus</text>
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                <text>A pandemic coronavirus, termed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causes a respiratory illness called coronavirus disease 2019 (COVID-19) that is often severe or life threatening. Considering the low immunity status of cancer patients due to multimodality treatment, they seem to be more prone to COVID-19. Given the rapidity with which the novel coronavirus (SARS-CoV-2) is spreading, we can expect an increased burden of cancer patients diagnosed with COVID-19 at oncology treatment clinics and a need to address the issues associated. As of the date of this writing, United States has been witnessing an increase in confirmed cases, not far behind are the large outbreaks of European countries. Patients with cancer may have compromised immunity due to their disease or its ongoing treatment, and early reports suggest cancer is a risk factor for severe COVID-19. Since the outbreak in Wuhan, Chinese researchers have published on their experience with COVID-19 and have highlighted high-risk groups, including the elderly and patients with comorbidities, including cancer. In one of the largest series reported from Wuhan, elderly patients were at a higher risk for disease severity with an 8.0% case fatality rate in those aged between 70 and 79 years, and 14.8% in those aged 80 years and older. The case fatality rate for cancer patients in that cohort was notably higher than noncancer patients at 5.6 versus 2.1% in the whole sample. This review focuses on the pandemic-driven strategies that need to be adopted to overcome the radiation oncology clinics burden, especially in this region of India popularly termed as the cancer belt. Although colleagues around the world have dealt with enormous service pressures in the face of natural disaster or infection previously, the global scale and challenge of COVID-19 are unprecedented. Our aim is to highlight the quintessential point that even within these circumstances the morbidity and mortality associated with cancer should not be taken lightly. Departmental protocols should be regularly upgraded to provide smooth and efficient functioning of the department.</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="37084">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37085">
                <text>Radiation oncology, COVID-19, cancer belt</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="37086">
                <text>DOI: 10.1055/s-0040-1713960</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="37087">
                <text>Asian Journal of Oncology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="37088">
                <text>Thieme Publishers</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="37089">
                <text>Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
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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>
          <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="37090">
                <text>Rapid Development of Competitive Translation Engines for Access to Multilingual COVID-19 Information</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37091">
                <text>Maja Popović, Guodong Xie, Andy Way, Rejwanul Haque, Federico Gaspari, Alberto Poncelas</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37092">
                <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>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37093">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37094">
                <text>Machine Translation, human evaluation, neural MT, COVID-19, automatic evaluation, crisis translation</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="37095">
                <text>DOI: 10.3390/informatics7020019</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="37096">
                <text>Informatics</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="37097">
                <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="37098">
                <text>Information technology</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="4055" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/940aca978d23f9adf3d5fdc04bd8e1b6.pdf</src>
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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>
          <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="37099">
                <text>Quantifying the roles of vomiting, diarrhea, and residents vs. staff in norovirus transmission in U.S. nursing home outbreaks.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37100">
                <text>David Young, Benjamin A. Lopman, Aron J. Hall, Paul A. Gastañaduy, Prabasaj Paul, Carly Adams, Zach Marsh</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37101">
                <text>The role of individual case characteristics, such as symptoms or demographics, in norovirus transmissibility is poorly understood. Six nursing home norovirus outbreaks occurring in South Carolina, U.S. from 2014 to 2016 were examined. We aimed to quantify the contribution of symptoms and other case characteristics in norovirus transmission using the reproduction number (REi) as an estimate of individual case infectivity and to examine how transmission changes over the course of an outbreak. Individual estimates of REi were calculated using a maximum likelihood procedure to infer the average number of secondary cases generated by each case. The associations between case characteristics and REi were estimated using a weighted multivariate mixed linear model. Outbreaks began with one to three index case(s) with large estimated REi's (range: 1.48 to 8.70) relative to subsequent cases. Of the 209 cases, 155 (75%) vomited, 164 (79%) had diarrhea, and 158 (76%) were nursing home residents (vs. staff). Cases who vomited infected 2.12 (95% CI: 1.68, 2.68) times the number of individuals as non-vomiters, cases with diarrhea infected 1.39 (95% CI: 1.03, 1.87) times the number of individuals as cases without diarrhea, and resident-cases infected 1.53 (95% CI: 1.15, 2.02) times the number of individuals as staff-cases. Index cases tended to be residents (vs. staff) who vomited and infected considerably more secondary cases compared to non-index cases. Results suggest that individuals, particularly residents, who vomit are more infectious and tend to drive norovirus transmission in U.S. nursing home norovirus outbreaks. While diarrhea also plays a role in norovirus transmission, it is to a lesser degree than vomiting in these settings. Results lend support for prevention and control measures that focus on cases who vomit, particularly if those cases are residents.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37102">
                <text>2020</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="37103">
                <text>DOI: 10.1371/journal.pcbi.1007271</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="37104">
                <text>PLoS Computational Biology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="37105">
                <text>Public Library of Science (PLoS)</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="37106">
                <text>Biology (General)</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
  </item>
  <item itemId="4056" public="1" featured="0">
    <fileContainer>
      <file fileId="4056">
        <src>https://www.socictopen.socict.org/files/original/df34c63bba11a053436f6200d644003b.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>
                </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="37107">
                <text>Construction of Epitope-Based Peptide Vaccine Against SARS-CoV-2: Immunoinformatics Study</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37108">
                <text>Arif Nur Muhammad Ansori, Viol Dhea Kharisma</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37109">
                <text>Recently, a novel coronavirus (SARS-CoV-2) appeared which is conscientious for the current outbreakin China and rapidly spread worldwide. Unluckily, there is no approved vaccine found against SARSCoV-2. Therefore, there is an urgent need for designing a suitable peptide vaccine constituent againstthe SARS-CoV-2. In this study, we characterized the spike glycoprotein of SARS-CoV-2 to obtainimmunogenic epitopes. In addition, we used 58 SARS-CoV-2 isolates were retrieved from the GlobalInitiative on Sharing All Influenza Data (GISAID) and National Center for Biotechnology Information(NCBI), then aligned to obtain the conserved region of SARS-CoV-2 spike glycoprotein. The interactionbetween the conserved region with ACE2 receptor, a SARS-CoV-2 receptor on the host cell, has beenevaluated through molecular docking approach. The B-cell epitope was identified using the immuneepitope database (IEDB) web server. Interestingly, we recommend Pep_4 ADHQPQTFVNTELH as aepitope-based peptide vaccine candidate to deal with the SARS-CoV-2 outbreak. Pep_4 has a high levelof immunogenicity and does not trigger autoimmune mechanisms. Pep_4 is capable of forming BCR/Fab molecular complexes with the lowest binding energy for activation of transduction signal the directB-cell immune response. However, further study is suggested for confirmation (in vitro and in vivo).</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37110">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37111">
                <text>coronavirus, immunoinformatics, SARS-CoV-2, epitope-based peptide vaccine</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="37112">
                <text>DOI: 10.22207/JPAM.14.SPL1.38</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="37113">
                <text>Journal of Pure and Applied Microbiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="37114">
                <text>Journal of Pure and Applied Microbiology</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="37115">
                <text>Microbiology</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="4057" public="1" featured="0">
    <fileContainer>
      <file fileId="4057">
        <src>https://www.socictopen.socict.org/files/original/7b87cb5d108364f7b7fb66ac7b307eff.pdf</src>
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    <collection collectionId="1">
      <elementSetContainer>
        <elementSet elementSetId="1">
          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37116">
                <text>The impact of COVID-19 pandemic on IBD endoscopic procedures in a high-volume IBD Center</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37117">
                <text>Gianluca Ianiro, Antonio Gasbarrini, Giovanni Cammarota, Franco Scaldaferri, Loris Riccardo Lopetuso, Stefano Bibbò, Alessandro Armuzzi, Alfredo Papa, Carlo Romano Settanni</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37118">
                <text>Background and study aims The COVID-19 pandemic is having a major clinical and also organizational impact on national health care systems, particularly in high-volume hospitals that are utilized for several essential clinical needs. We aimed to analyze the short-term impact of the SARS-CoV-2 pandemic on management of endoscopic procedures in patients with inflammatory bowel disease (IBD).            Patients and methods This was an observational prospective study exploring major clinical and organizational changes in endoscopic management at the IBD Center – CEMAD of the Fondazione Policlinico Gemelli IRCCS, Rome, Italy since the beginning of SARS-CoV-2 pandemic.            Results Our IBD Unit, with up to 1,500 IBD patients receiving biotechnological or experimental therapy, represents a high-volume Italian and European IBD center. Since the beginning of the outbreak, our hospital has been extremely impacted by care related to COVID-19 cases, with a consequent need to dramatically reorganize management of endoscopic procedures for IBD.            Conclusions Outbreak restrictions have significantly impacted the volume of endoscopic activities for IBD. Specific strategies have been designed to guarantee a high level of safety for both patients with IBD and healthcare personnel dedicated to their treatment.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37119">
                <text>2020</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="37120">
                <text>DOI: 10.1055/a-1183-3073</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="37121">
                <text>Endoscopy International Open</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="37122">
                <text>Georg Thieme Verlag</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>Correlation Between Temperature and COVID-19 (Suspected, Confirmed and Death) Cases based on Machine Learning Analysis</text>
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                <text>Ruben Morales-Menendez, Hafiz  M. N. Iqbal, Pradeep Kumar Gupta, Fida Hussain, Sultan Ahmad, Mohammad Khubeb Siddiqui, Khudeja Khatoon</text>
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                <text>Currently, the whole world is struggling with the biggest health problem COVID-19 name coined bythe World Health Organization (WHO). This was raised from China in December 2019. This pandemicis going to change the world. Due to its communicable nature, it is contagious to both medically andeconomically. Though different contributing factors are not known yet. Herein, an effort has beenmade to find the correlation between temperature and different cases situation (suspected, confirmed,and death cases). For a said purpose, k-means clustering-based machine learning method has beenemployed on the data set from different regions of China, which has been obtained from the WHO.The novelty of this work is that we have included the temperature field in the original WHO data setand further explore the trends. The trends show the effect of temperature on each region in threedifferent perspectives of COVID-19 – suspected, confirmed and death.</text>
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                <text>machine learning, coronavirus, K-Means Clustering, COVID-19</text>
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                <text>DOI: 10.22207/JPAM.14.SPL1.40</text>
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                <text>Journal of Pure and Applied Microbiology</text>
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                <text>Journal of Pure and Applied Microbiology</text>
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                <text>Microbiology</text>
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