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                  <text>Dominio científico: Coronavirus</text>
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                <text>Epidemiology and clinical profile of pathogens responsible for the hospitalization of children in Sousse area, Tunisia.</text>
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                <text>Ines Brini, Aida Guerrero, Naila Hannachi, Jihene Bouguila, Dorothea Orth-Höller, Amira Bouhlel, Lamia Boughamoura, Benjamin Hetzer, Wegene Borena, Britta Schiela, Dorothee von Laer, Jalel Boukadida, Heribert Stoiber</text>
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                <text>This study aimed to identify a broad spectrum of respiratory pathogens from hospitalized and not-preselected children with acute respiratory tract infections in the Farhat Hached University-hospital of Sousse, Tunisia. Between September 2013 and December 2014, samples from 372 children aged between 1 month and 5 years were collected, and tested using multiplex real-time RT-PCR by a commercial assay for 21 respiratory pathogens. In addition, samples were screened for the presence of Streptococcus pneumoniae 16S rDNA using real-time PCR. The viral distribution and its association with clinical symptoms were statistically analyzed. Viral pathogens were detected in 342 (91.93%) of the samples of which 28.76% were single positive and 63.17% had multiple infections. The most frequent detected viruses were rhinovirus (55.64%), respiratory syncytial virus A/B (33.06%), adenovirus (25.00%), coronavirus NL63, HKU1, OC43, and 229E (21.50%), and metapneumovirus A/B (16.12%). Children in the youngest age group (1-3 months) exhibited the highest frequencies of infection. Related to their frequency of detection, RSV A/B was the most associated pathogen with patient's demographic situation and clinical manifestations (p</text>
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                <text>DOI: 10.1371/journal.pone.0188325</text>
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                <text>PLoS ONE</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Different residues in the SARS-CoV spike protein determine cleavage and activation by the host cell protease TMPRSS2.</text>
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                <text>Lennart Michel Reinke, Martin Spiegel, Teresa Plegge, Anika Hartleib, Inga Nehlmeier, Stefanie Gierer, Markus Hoffmann, Heike Hofmann-Winkler, Michael Winkler, Stefan Pöhlmann</text>
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                <text>The spike (S) protein of severe acute respiratory syndrome coronavirus (SARS-CoV) mediates viral entry into target cells. Cleavage and activation of SARS S by a host cell protease is essential for infectious viral entry and the responsible enzymes are potential targets for antiviral intervention. The type II transmembrane serine protease TMPRSS2 cleaves and activates SARS S in cell culture and potentially also in the infected host. Here, we investigated which determinants in SARS S control cleavage and activation by TMPRSS2. We found that SARS S residue R667, a previously identified trypsin cleavage site, is also required for S protein cleavage by TMPRSS2. The cleavage fragments produced by trypsin and TMPRSS2 differed in their decoration with N-glycans, suggesting that these proteases cleave different SARS S glycoforms. Although R667 was required for SARS S cleavage by TMPRSS2, this residue was dispensable for TMPRSS2-mediated S protein activation. Conversely, residue R797, previously reported to be required for SARS S activation by trypsin, was dispensable for S protein cleavage but required for S protein activation by TMPRSS2. Collectively, these results show that different residues in SARS S control cleavage and activation by TMPRSS2, suggesting that these processes are more complex than initially appreciated.</text>
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                <text>DOI: 10.1371/journal.pone.0179177</text>
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                <text>PLoS ONE</text>
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                <text>Public Library of Science (PLoS)</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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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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            <description>A name given to the resource</description>
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                <text>Non-esterified fatty acids generate distinct low-molecular weight amyloid-β (Aβ42) oligomers along pathway different from fibril formation.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Amit Kumar, Rebekah L Bullard, Pritesh Patel, Lea C Paslay, Dipti Singh, Ewa A. Bienkiewicz, Sarah E. Morgan, Vijayaraghavan Rangachari</text>
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            <description>An account of the resource</description>
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                <text>Amyloid-β (Aβ) peptide aggregation is known to play a central role in the etiology of Alzheimer's disease (AD). Among various aggregates, low-molecular weight soluble oligomers of Aβ are increasingly believed to be the primary neurotoxic agents responsible for memory impairment. Anionic interfaces are known to influence the Aβ aggregation process significantly. Here, we report the effects of interfaces formed by medium-chain (C9-C12), saturated non-esterified fatty acids (NEFAs) on Aβ42 aggregation. NEFAs uniquely affected Aβ42 aggregation rates that depended on both the ratio of Aβ:NEFA as well the critical micelle concentration (CMC) of the NEFAs. More importantly, irrespective of the kind of NEFA used, we observed that two distinct oligomers, 12-18 mers and 4-5 mers were formed via different pathway of aggregation under specific experimental conditions: (i) 12-18 mers were generated near the CMC in which NEFAs augment the rate of Aβ42 aggregation towards fibril formation, and, (ii) 4-5 mers were formed above the CMC, where NEFAs inhibit fibril formation. The data indicated that both 12-18 mers and 4-5 mers are formed along an alternate pathway called 'off-pathway' that did not result in fibril formation and yet have subtle structural and morphological differences that distinguish their bulk molecular behavior. These observations, (i) reflect the possible mechanism of Aβ aggregation in physiological lipid-rich environments, and (ii) reiterate the fact that all oligomeric forms of Aβ need not be obligatory intermediates of the fibril formation pathway.</text>
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                <text>2011</text>
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                <text>DOI: 10.1371/journal.pone.0018759</text>
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                <text>PLoS ONE</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Public Library of Science (PLoS)</text>
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                <text>Science, Medicine</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Identification and mapping of linear antibody epitopes in human serum albumin using high-density Peptide arrays.</text>
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                <text>Lajla Bruntse Hansen, Søren Buus, Claus Schafer-Nielsen</text>
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                <text>We have recently developed a high-density photolithographic, peptide array technology with a theoretical upper limit of 2 million different peptides per array of 2 cm(2). Here, we have used this to perform complete and exhaustive analyses of linear B cell epitopes of a medium sized protein target using human serum albumin (HSA) as an example. All possible overlapping 15-mers from HSA were synthesized and probed with a commercially available polyclonal rabbit anti-HSA antibody preparation. To allow for identification of even the weakest epitopes and at the same time perform a detailed characterization of key residues involved in antibody binding, the array also included complete single substitution scans (i.e. including each of the 20 common amino acids) at each position of each 15-mer peptide. As specificity controls, all possible 15-mer peptides from bovine serum albumin (BSA) and from rabbit serum albumin (RSA) were included as well. The resulting layout contained more than 200.000 peptide fields and could be synthesized in a single array on a microscope slide. More than 20 linear epitope candidates were identified and characterized at high resolution i.e. identifying which amino acids in which positions were needed, or not needed, for antibody interaction. As expected, moderate cross-reaction with some peptides in BSA was identified whereas no cross-reaction was observed with peptides from RSA. We conclude that high-density peptide microarrays are a very powerful methodology to identify and characterize linear antibody epitopes, and should advance detailed description of individual specificities at the single antibody level as well as serologic analysis at the proteome-wide level.</text>
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                <text>2013</text>
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                <text>DOI: 10.1371/journal.pone.0068902</text>
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                <text>PLoS ONE</text>
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                <text>Public Library of Science (PLoS)</text>
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                  <text>Dominio científico: Coronavirus</text>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Middle East respiratory syndrome coronavirus (MERS Cov) outbreak so far exempted Sub Saharan Africa; is it good news or call for action?</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Ballah Akawu Denue</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The reported cases of MERS Cov in Arabian Peninsula and sporadic caseselsewhere except in sub Saharan Africa at present is disquieting considering itsinitial clinical feature that mimic flu like symptoms caused by other viruses.However MERS Cov is associated with organ dysfunction and high mortality.Although the mode of transmission is still unclear, it is postulated that itspreads through close contact, possibly via respiratory route. High similaritiesof MERS CoV carried by humans and camels may suggest that the diseases arezoonotic. Furthermore, airborne nosocomial transmission can occur in theroom shared by the patients in the hospitals. There is still the confusion oftransmission through body fluids or clinical samples, including stools and across transmission with medical devices or hands. Currently, all known casescan be directly or indirectly linked to Middle East from where it derives its name. Cases reported outside the Middle East first developed infection in the Middle East and then were exported outside the region. Several hospital-acquired outbreaks that resulted in upsurge of MERS Cov cases in Jeddah revealed lack of systematic implementation of infection prevention and control measures to effectively control emerging infectious diseases. The causative agent is detected and identified using Enzyme Linked Immuunosorbent Assay (ELISA) and real-time polymerase chain reaction (RT-PCR) that is expensive and not readily available in hospitals located in resource poor settings such as sub Saharan Africa. Although, so far no case of MERS Cov has been reported from sub Saharan Africa, the devastating consequences of MERS epidemic will be more catastrophic if it emerges in developing nations especially in sub Saharan Africa where there are no up to date facilities for investigations and management of such cases. Against this backdrop, we review this hazardous and incurable disease believing that it would create the necessary awareness among stakeholders to prepare for ‘alien’diseases like MERS Cov.Pilgrims all over the world visit Saudi Arabia for religious obligation (Hajj). This is a potential way this virus could be transmitted across the globe within a short span especially if an epidemic occurs during or towards the end of the hajj exercise.</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="3312">
                <text>2015</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="3313">
                <text>DOI: </text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="3314">
                <text>Global Journal of Medicine and Public Health</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="3315">
                <text>Makhdoomi Printers</text>
              </elementText>
            </elementTextContainer>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="3316">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="3317">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
          </element>
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  <item itemId="358" public="1" featured="0">
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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            </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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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Cathepsin L Helps to Defend Mice from Infection with Influenza A.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="3301">
                <text>Xiang XU, John R Greenland, Jeffrey E Gotts, Michael A. Matthay, George H Caughey</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="3302">
                <text>Host-derived proteases can augment or help to clear infections. This dichotomy is exemplified by cathepsin L (CTSL), which helps Hendra virus and SARS coronavirus to invade cells, but is essential for survival in mice with mycoplasma pneumonia. The present study tested the hypothesis that CTSL protects mice from serious consequences of infection by the orthomyxovirus influenza A, which is thought to be activated by host-supplied proteases other than CTSL. Ctsl-/- mice infected with influenza A/Puerto Rico/8/34(H1N1) had larger lung viral loads and higher mortality than infected Ctsl+/+ mice. Lung inflammation in surviving infected mice peaked 14 days after initial infection, accompanied marked focal distal airway bronchiolization and epithelial metaplasia followed by desquamation and fibrotic interstitial remodeling, and persisted for at least 6 weeks. Most deaths occurred during the second week of infection in both groups of mice. In contrast to mycoplasma pneumonia, infiltrating cells were predominantly mononuclear rather than polymorphonuclear. The histopathology of lung inflammation and remodeling in survivors was similar in Ctsl-/- and Ctsl+/+ mice, although Ctsl+/+ mice cleared immunoreactive virus sooner. Furthermore, Ctsl-/- mice had profound deficits in CD4+ lymphocytes before and after infection and weaker production of pathogen-specific IgG. Thus, CTSL appears to support innate as well as adaptive responses, which confer a survival advantage on mice infected with the orthomyxovirus influenza A.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2016</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="3304">
                <text>DOI: 10.1371/journal.pone.0164501</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="3305">
                <text>PLoS ONE</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="3306">
                <text>Public Library of Science (PLoS)</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="3307">
                <text>Science, Medicine</text>
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            </elementTextContainer>
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            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="3308">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
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        <src>https://www.socictopen.socict.org/files/original/614e70f7b7fc9dafaa6b0b5abbebac56.pdf</src>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <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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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="3291">
                <text>Communicable Diseases Prioritized According to Their Public Health Relevance, Sweden, 2013.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="3292">
                <text>Viktor Dahl, Anders Tegnell, Anders Wallensten</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="3293">
                <text>To establish strategic priorities for the Public Health Agency of Sweden we prioritized pathogens according to their public health relevance in Sweden in order to guide resource allocation. We then compared the outcome to ongoing surveillance. We used a modified prioritization method developed at the Robert Koch Institute in Germany. In a Delphi process experts scored pathogens according to ten variables. We ranked the pathogens according to the total score and divided them into four priority groups. We then compared the priority groups to self-reported time spent on surveillance by epidemiologists and ongoing programmes for surveillance through mandatory and/or voluntary notifications and for surveillance of typing results. 106 pathogens were scored. The result of the prioritization process was similar to the outcome of the prioritization in Germany. Common pathogens such as calicivirus and Influenza virus as well as blood-borne pathogens such as human immunodeficiency virus, hepatitis B and C virus, gastro-intestinal infections such as Campylobacter and Salmonella and vector-borne pathogens such as Borrelia were all in the highest priority group. 63% of time spent by epidemiologists on surveillance was spent on pathogens in the highest priority group and all pathogens in the highest priority group, except for Borrelia and varicella-zoster virus, were under surveillance through notifications. Ten pathogens in the highest priority group (Borrelia, calicivirus, Campylobacter, Echinococcus multilocularis, hepatitis C virus, HIV, respiratory syncytial virus, SARS- and MERS coronavirus, tick-borne encephalitis virus and varicella-zoster virus) did not have any surveillance of typing results. We will evaluate the possibilities of surveillance for the pathogens in the highest priority group where we currently do not have any ongoing surveillance and evaluate the need of surveillance for the pathogens from the low priority group where there is ongoing surveillance in order to focus our work on the pathogens with the highest relevance.</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="3294">
                <text>2015</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="3295">
                <text>DOI: 10.1371/journal.pone.0136353</text>
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            </elementTextContainer>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="3296">
                <text>PLoS ONE</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="3297">
                <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="3298">
                <text>Science, Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="3299">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="356" public="1" featured="0">
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
          </elementContainer>
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      </elementSetContainer>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Comprehensive structural analysis of designed incomplete polypeptide chains of the replicase nonstructural protein 1 from the severe acute respiratory syndrome coronavirus.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="3283">
                <text>Leonardo Vazquez, Luís Mauricio Trambaioli da Rocha e Lima, Marcius da Silva Almeida</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The cotranslational folding is recognized as a very cooperative process that occurs after the nearly completion of the polypeptide sequence of a domain. Here we investigated the challenges faced by polypeptide segments of a non-vectorial β-barrel fold. Besides the biological interest behind the SARS coronavirus non-structural protein 1 (nsp1, 117 amino acids), this study model has two structural features that motivated its use in this work: 1- its recombinant production is dependent on the temperature, with greater solubility when expressed at low temperatures. This is an indication of the cotranslational guidance to the native protein conformation. 2- Conversely, nsp1 has a six-stranded, mixed parallel/antiparallel β-barrel with intricate long-range interactions, indicating it will need the full-length protein to fold properly. We used non-denaturing purification conditions that allowed the characterization of polypeptide chains of different lengths, mimicking the landscape of the cotranslational fold of a β-barrel, and avoiding the major technical hindrances of working with the nascent polypeptide bound to the ribosome. Our results showed partially folded states formed as soon as the amino acids of the second β-strand were present (55 amino acids). These partially folded states are different based on the length of polypeptide chain. The native α-helix (amino acids 24-37) was identified as a transient structure (~20-30% propensity). We identified the presence of regular secondary structure after the fourth native β-strand is present (89 amino acids), in parallel to the collapse to a non-native 3D structure. Interestingly the polypeptide sequences of the native strands β2, β3 and β4 have characteristics of α-helices. Our comprehensive analyses support the idea that incomplete polypeptide chains, such as the ones of nascent proteins much earlier than the end of the translation, adopt an abundance of specific transient folds, instead of disordered conformations.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2017</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="3286">
                <text>DOI: 10.1371/journal.pone.0182132</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="3287">
                <text>PLoS ONE</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="3288">
                <text>Public Library of Science (PLoS)</text>
              </elementText>
            </elementTextContainer>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="3289">
                <text>Science, Medicine</text>
              </elementText>
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            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="3290">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="355" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/aa94492ce5ee65a2101e434ec9de5a19.pdf</src>
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>The impact of matching vaccine strains and post-SARS public health efforts on reducing influenza-associated mortality among the elderly.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="3274">
                <text>Ta-Chien Chan, Chuhsing Kate Hsiao, Chang-Chun Lee, Po Huang Chiang, Chuan-Liang Kao, Chung-Ming Liu, Chwan-Chuen King</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Public health administrators do not have effective models to predict excess influenza-associated mortality and monitor viral changes associated with it. This study evaluated the effect of matching/mismatching vaccine strains, type/subtype pattern changes in Taiwan's influenza viruses, and the impact of post-SARS (severe acute respiratory syndrome) public health efforts on excess influenza-associated mortalities among the elderly. A negative binomial model was developed to estimate Taiwan's monthly influenza-associated mortality among the elderly. We calculated three winter and annual excess influenza-associated mortalities [pneumonia and influenza (P&amp;I), respiratory and circulatory, and all-cause] from the 1999-2000 through the 2006-2007 influenza seasons. Obtaining influenza virus sequences from the months/years in which death from P&amp;I was excessive, we investigated molecular variation in vaccine-mismatched influenza viruses by comparing hemagglutinin 1 (HA1) of the circulating and vaccine strains. We found that the higher the isolation rate of A (H3N2) and vaccine-mismatched influenza viruses, the greater the monthly P&amp;I mortality. However, this significant positive association became negative for higher matching of A (H3N2) and public health efforts with post-SARS effect. Mean excess P&amp;I mortality for winters was significantly higher before 2003 than after that year [mean +/- S.D.: 1.44+/-1.35 vs. 0.35+/-1.13, p = 0.04]. Further analysis revealed that vaccine-matched circulating influenza A viruses were significantly associated with lower excess P&amp;I mortality during post-SARS winters (i.e., 2005-2007) than during pre-SARS winters [0.03+/-0.06 vs. 1.57+/-1.27, p = 0.01]. Stratification of these vaccine-matching and post-SARS effect showed substantial trends toward lower elderly excess P&amp;I mortalities in winters with either mismatching vaccines during the post-SARS period or matching vaccines during the pre-SARS period. Importantly, all three excess mortalities were at their highest in May, 2003, when inter-hospital nosocomial infections were peaking. Furthermore, vaccine-mismatched H3N2 viruses circulating in the years with high excess P&amp;I mortality exhibited both a lower amino acid identity percentage of HA1 between vaccine and circulating strains and a higher numbers of variations at epitope B. Our model can help future decision makers to estimate excess P&amp;I mortality effectively, select and test virus strains for antigenic variation, and evaluate public health strategy effectiveness.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2010</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="3277">
                <text>DOI: 10.1371/journal.pone.0011317</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="3278">
                <text>PLoS ONE</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="3279">
                <text>Public Library of Science (PLoS)</text>
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            <name>Coverage</name>
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                <text>Science, Medicine</text>
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                <text>EN</text>
              </elementText>
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        <src>https://www.socictopen.socict.org/files/original/580c17d38a56ecce87a00794ec9d8232.pdf</src>
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
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                  <text>Coronavirus</text>
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              <name>Description</name>
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                  <text>Dominio científico: Coronavirus</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="3264">
                <text>Characterization of Two Monoclonal Antibodies That Recognize Linker Region and Carboxyl Terminal Domain of Coronavirus Nucleocapsid Protein.</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="3265">
                <text>Xin Zhang, Xin Zhao, Hui Dong, Yunnuan Zhu, Hongyan Shi, Jianfei Chen, Da Shi, Li Feng</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="3266">
                <text>The transmissible gastroenteritis virus (TGEV) nucleocapsid (N) protein plays important roles in the replication and translation of viral RNA. The present study provides the first description of two monoclonal antibodies (mAbs) (5E8 and 3D7) directed against the TGEV N protein linker region (LKR) and carboxyl terminal domain (CTD). The mAbs 5E8 and 3D7 reacted with native N protein in western blotting and immunofluorescence assay (IFA). Two linear epitopes, 189SVEQAVLAALKKLG202 and 246VTRFYGARSSSA257, located in the LKR and CTD of TGEV N protein, respectively, were identified after truncating the protein and applying a peptide scanning technique. Using mAb 5E8, we observed that the N protein was expressed in the cytoplasm during TGEV replication and that the protein could be immunoprecipitated from TGEV-infected PK-15 cells. The mAb 5E8 can be applied for different approaches to diagnosis of TGEV infection. In addition, the antibodies represent useful tools for investigating the antigenic properties of the N protein.</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="3267">
                <text>2016</text>
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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="3268">
                <text>DOI: 10.1371/journal.pone.0163920</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="3269">
                <text>PLoS ONE</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="3270">
                <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>
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              <elementText elementTextId="3271">
                <text>Science, Medicine</text>
              </elementText>
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="3272">
                <text>EN</text>
              </elementText>
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          </element>
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