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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>CORONAVIRUS EPIDEMIC OUTBREAK IN EUROPE. COMPARISON WITH THE DYNAMICS IN MAINLAND CHINA</text>
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                <text>Igor G. Nesteruk</text>
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                <text>Unfortunately, we can already talk about the coronavirus COVID-19 epidemic outbreak in Europe. This is evidenced by the large number of confirmed cases in Italy, registered in recent days. Prospects for epidemic development can be estimated from the accumulated information on the cases growth rate in mainland China. Comparison with the data on China will allow us to evaluate the effectiveness of quarantine measures and the level of individual protection, since we are dealing with the same pathogen. This short message provides a simple method of data comparison that can be useful for both governmental organizations and anyone. The first data points for the epidemic in Italy corresponded to the epidemic dynamics in mainland China. Fortunately, the growth rate of coronavirus patients in Europe has not become as threatening since February 29, 2020.</text>
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                <text>2020</text>
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                <text>coronavirus epidemic, coronavirus epidemic in italy, coronavirus epidemic in china, coronavirus covid-19, coronavirus 2019-ncov, statistical methods</text>
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            <name>Identifier</name>
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                <text>DOI: 10.20535/kpi-sn.2020.1.198043</text>
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                <text>KPI Science News</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute""</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Technology (General)</text>
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            <description>A language of the resource</description>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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        <name>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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                <text>The papain-like protease determines a virulence trait that varies among members of the SARS-coronavirus species.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Daniela Niemeyer, Kirstin Mösbauer, Eva M Klein, Andrea Sieberg, Robert C Mettelman, Anna M Mielech, Ronald Dijkman, Susan C. Baker, Christian Drosten, Marcel A. Müller</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>SARS-coronavirus (CoV) is a zoonotic agent derived from rhinolophid bats, in which a plethora of SARS-related, conspecific viral lineages exist. Whereas the variability of virulence among reservoir-borne viruses is unknown, it is generally assumed that the emergence of epidemic viruses from animal reservoirs requires human adaptation. To understand the influence of a viral factor in relation to interspecies spillover, we studied the papain-like protease (PLP) of SARS-CoV. This key enzyme drives the early stages of infection as it cleaves the viral polyprotein, deubiquitinates viral and cellular proteins, and antagonizes the interferon (IFN) response. We identified a bat SARS-CoV PLP, which shared 86% amino acid identity with SARS-CoV PLP, and used reverse genetics to insert it into the SARS-CoV genome. The resulting virus replicated like SARS-CoV in Vero cells but was suppressed in IFN competent MA-104 (3.7-fold), Calu-3 (2.6-fold) and human airway epithelial cells (10.3-fold). Using ectopically-expressed PLP variants as well as full SARS-CoV infectious clones chimerized for PLP, we found that a protease-independent, anti-IFN function exists in SARS-CoV, but not in a SARS-related, bat-borne virus. This PLP-mediated anti-IFN difference was seen in primate, human as well as bat cells, thus independent of the host context. The results of this study revealed that coronavirus PLP confers a variable virulence trait among members of the species SARS-CoV, and that a SARS-CoV lineage with virulent PLPs may have pre-existed in the reservoir before onset of the epidemic.</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="13583">
                <text>2018</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="13584">
                <text>DOI: 10.1371/journal.ppat.1007296</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="13585">
                <text>PLoS Pathogens</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="13586">
                <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="13587">
                <text>Biology (General), Immunologic diseases. Allergy</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>EN</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                  <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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              <elementText elementTextId="13589">
                <text>Identification of genetic relationships and subspecies signatures in Xylella fastidiosa</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="13590">
                <text>Nicolas Denancé, Martial Briand, Romain Gaborieau, Sylvain Gaillard, Marie-Agnès Jacques</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="13591">
                <text>Abstract Background The phytopathogenic bacterium Xylella fastidiosa was thought to be restricted to the Americas where it infects and kills numerous hosts. Its detection worldwide has been blooming since 2013 in Europe and Asia. Genetically diverse, this species is divided into six subspecies but genetic traits governing this classification are poorly understood. Results SkIf (Specific k-mers Identification) was designed and exploited for comparative genomics on a dataset of 46 X. fastidiosa genomes, including seven newly sequenced individuals. It was helpful to quickly check the synonymy between strains from different collections. SkIf identified specific SNPs within 16S rRNA sequences that can be employed for predicting the distribution of Xylella through data mining. Applied to inter- and intra-subspecies analyses, it identified specific k-mers in genes affiliated to differential gene ontologies. Chemotaxis-related genes more prevalently possess specific k-mers in genomes from subspecies fastidiosa, morus and sandyi taken as a whole group. In the subspecies pauca increased abundance of specific k-mers was found in genes associated with the bacterial cell wall/envelope/plasma membrane. Most often, the k-mer specificity occurred in core genes with non-synonymous SNPs in their sequences in genomes of the other subspecies, suggesting putative impact in the protein functions. The presence of two integrative and conjugative elements (ICEs) was identified, one chromosomic and an entire plasmid in a single strain of X. fastidiosa subsp. pauca. Finally, a revised taxonomy of X. fastidiosa into three major clades defined by the subspecies pauca (clade I), multiplex (clade II) and the combination of fastidiosa, morus and sandyi (clade III) was strongly supported by k-mers specifically associated with these subspecies. Conclusions SkIf is a robust and rapid software, freely available, that can be dedicated to the comparison of sequence datasets and is applicable to any field of research. Applied to X. fastidiosa, an emerging pathogen in Europe, it provided an important resource to mine for identifying genetic markers of subspecies to optimize the strategies attempted to limit the pathogen dissemination in novel areas.</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="13592">
                <text>2019</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="13593">
                <text>16S rRNA gene, horizontal gene transfer, phylogeny, k-mer, SkIf, taxonomy</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="13594">
                <text>DOI: 10.1186/s12864-019-5565-9</text>
              </elementText>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="13595">
                <text>BMC Genomics</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>BMC</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Genetics, Biotechnology</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <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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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Coronavirus disease-2019: is fever an adequate screening for the returning travelers?</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="13600">
                <text>George M. Bwire, Linda S. Paulo</text>
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            <description>An account of the resource</description>
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                <text>Abstract On Thursday, 30 January 2020, World Health Organization declared Coronavirus disease-2019 (COVID-2019) a Public Health Emergency of International Concern. Since its identification in late December 2019 in Wuhan, Hubei Province, People’s Republic of China, the number of cases imported into other countries is increasing, and the epidemiological map is changing rapidly. On the other hand, body temperature screening (fever) is the major test performed at points of entry, i.e., airports, in the returning travelers in most of the countries with limited resources. However, the recent report on asymptomatic contact transmission of COVID-19 and travelers who passed the symptoms-based screening and tested positive for COVID-19 using reverse transcription polymerase chain reaction (RT-PCR) challenges this approach as body temperature screening may miss travelers incubating the disease or travelers concealing fever during travel. On this note, travel restrictions to and from high risk areas and/or 14 days quarantine of travelers coming from high risk areas are recommended to prevent possible importation of COVID-19. Currently, RT-PCR is a reliable test in detecting both symptomatic and asymptomatic COVID-19.</text>
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                <text>2020</text>
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                <text>COVID-19, Fever, Returning travelers, Temperature screening</text>
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            <name>Identifier</name>
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                <text>DOI: 10.1186/s41182-020-00201-2</text>
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                <text>Tropical Medicine and Health</text>
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                <text>BMC</text>
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                <text>Arctic medicine. Tropical medicine</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>EN</text>
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                <text>Yuan-Lin Ma, Zu-Guo Yu, Runbin Tang, Xianhua Xie, Guosheng Han, Vo  V. Anh</text>
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                <text>HIV-1 viruses, which are predominant in the family of HIV viruses, have strong pathogenicity and infectivity. They can evolve into many different variants in a very short time. In this study, we propose a new and effective alignment-free method for the phylogenetic analysis of HIV-1 viruses using complete genome sequences. Our method combines the position distribution information and the counts of the k-mers together. We also propose a metric to determine the optimal k value. We name our method the Position-Weighted k-mers (PWkmer) method. Validation and comparison with the Robinson&amp;#8722;Foulds distance method and the modified bootstrap method on a benchmark dataset show that our method is reliable for the phylogenetic analysis of HIV-1 viruses. PWkmer can resolve within-group variations for different known subtypes of Group M of HIV-1 viruses. This method is simple and computationally fast for whole genome phylogenetic analysis.</text>
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                <text>alignment-free, HIV-1 virus, Phylogenetic analysis, position-weighted &lt;i&gt;k&lt;/i&gt;-mers, robinson–foulds distance</text>
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                <text>DOI: 10.3390/e22020255</text>
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                <text>Entropy</text>
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                <text>MDPI AG</text>
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                <text>Science, Astrophysics, Physics</text>
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            <description>A language of the resource</description>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Mei Fong Liew, Wen Ting Siow, Ying Wei Yau, Kay Choong See</text>
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                <text>DOI: 10.1186/s13054-020-2828-4</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Critical Care</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>BMC</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medical emergencies. Critical care. Intensive care. First aid</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Nitesh Gupta, Sumita Agrawal, Pranav Ish</text>
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            <description>An account of the resource</description>
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                <text>To the Editor The Coronavirus disease 2019 (COVID-19) has been declared as a pandemic by World Health Organisation (WHO). The global mortality has increased, especially in countries like Italy and Iran. With the increasing morbidity and mortality, search for a cure has been the global demand.</text>
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                <text>chloroquine, COVID-19, evidence</text>
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                <text>DOI: 10.4081/monaldi.2020.1290</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="13633">
                <text>Monaldi Archives for Chest Disease</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="13634">
                <text>PAGEPress Publications</text>
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                <text>Medicine</text>
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            <description>A language of the resource</description>
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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>Ming-Li Yuan, Wen Yin, Zhaowu Tao, Wei Jun Tan, Yi Hu</text>
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                <text>Radiologic characteristics of 2019 novel coronavirus (2019-nCoV) infected pneumonia (NCIP) which had not been fully understood are especially important for diagnosing and predicting prognosis. We retrospective studied 27 consecutive patients who were confirmed NCIP, the clinical characteristics and CT image findings were collected, and the association of radiologic findings with mortality of patients was evaluated. 27 patients included 12 men and 15 women, with median age of 60 years (IQR 47-69). 17 patients discharged in recovered condition and 10 patients died in hospital. The median age of mortality group was higher compared to survival group (68 (IQR 63-73) vs 55 (IQR 35-60), P = 0.003). The comorbidity rate in mortality group was significantly higher than in survival group (80% vs 29%, P = 0.018). The predominant CT characteristics consisted of ground glass opacity (67%), bilateral sides involved (86%), both peripheral and central distribution (74%), and lower zone involvement (96%). The median CT score of mortality group was higher compared to survival group (30 (IQR 7-13) vs 12 (IQR 11-43), P = 0.021), with more frequency of consolidation (40% vs 6%, P = 0.047) and air bronchogram (60% vs 12%, P = 0.025). An optimal cutoff value of a CT score of 24.5 had a sensitivity of 85.6% and a specificity of 84.5% for the prediction of mortality. 2019-nCoV was more likely to infect elderly people with chronic comorbidities. CT findings of NCIP were featured by predominant ground glass opacities mixed with consolidations, mainly peripheral or combined peripheral and central distributions, bilateral and lower lung zones being mostly involved. A simple CT scoring method was capable to predict mortality.</text>
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                <text>DOI: 10.1371/journal.pone.0230548</text>
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                <text>PLoS ONE</text>
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                  <text>Dominio científico: Coronavirus</text>
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      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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                <text>Respiratory physiotherapy in patients with COVID-19 infection in acute setting: a Position Paper of the Italian Association of Respiratory Physiotherapists (ARIR)</text>
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              <elementText elementTextId="13647">
                <text>Marta Lazzeri, Andrea Lanza, Raffaella Bellini, Angela Bellofiore, Simone Cecchetto, Alessia Colombo, Francesco D' Abrosca, Cesare Del Monaco, Giuseppe Gaudellio, Mara Paneroni, Emilia Privitera, Mariangela Retucci, Veronica Rossi, Martina Santambrogio, Maurizio Sommariva, Pamela Frigerio</text>
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                <text>Respiratory physiotherapy in patients with COVID-19 infection in acute setting: a Position Paper of the Italian Association of Respiratory Physiotherapists (ARIR)  On February 2020, Italy, especially the northern regions, was hit by an epidemic of the new SARS-Cov-2 coronavirus that spread from China between December 2019 and January 2020. The entire healthcare system had to respond promptly in a very short time to an exponential growth of the number of subjects affected by COVID-19 (Coronavirus disease 2019) with the need of semi-intensive and intensive care units.</text>
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                <text>coronavirus, COVID-19, SARS-CoV-2, infection, Physiotherapy, rehabilitation</text>
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                <text>DOI: 10.4081/monaldi.2020.1285</text>
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                <text>Monaldi Archives for Chest Disease</text>
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            <name>Publisher</name>
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