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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>Dublin Core</name>
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                <text>Explore the Optimal Resolvent of Medical Needs and Mental Health for Patients with Lung Cancer during Epidemic Novel Coronavirus Pneumonia</text>
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          <element elementId="39">
            <name>Creator</name>
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                <text>Yan Wang, Dan Wang, Min Yang, Lu Yang, Haiyan Xu, Ke Yang, Xiaohong Cui, Guangjian Yang, Yuling Mi</text>
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                <text>Background and objective With the rapid spread of novel coronavirus pneumonia (NCP) worldwide and the escalation of prevention and control efforts, the routine medical needs of patients have been restricted. The aims were to investigate medical needs of lung cancer patients and their mental health status during the epidemic periods, so as to provide rational recommendations for subsequent diagnosis and treatment. Methods The questionnaire was sent in the form of an electronic questionnaire at 7am on 4th, March, 2020, until 7am 6th, March, 2020, 368 questionnaires were recollected from 25 provinces (autonomous regions/municipalities) in 48 h. Results Of the 368 patients, 18 patients were excluded as they didn’t receive anti-tumor treatment, and 350 patients were included in the final analysis. 229 cases were treated with oral targeted drugs, and 121 cases were treated with chemotherapy or immunotherapy. 41.3% of patients treated with intravenous chemotherapy or immunotherapy experienced treatment discontinuation, and the proportion of treatment discontinuation in chemotherapy or immunotherapy was higher than those treated with oral targeted drugs (21.0%). Whether oral targeted drugs or intravenous chemotherapy or immunotherapy, more than 60% of patients experienced delays in imaging examinations. Nearly one third of patients developed new symptoms or exacerbation of existing symptoms. 26.6%-28.9% of patients have changed their treatment plans through online consultation. During novel coronavirus pneumonia, 40%-75% of lung cancer patients have mental health problems, and more than 95% of patients support government’s prevention and control measures. Conclusions During the emergence of NCP, the medical needs of patients with lung cancer have not been enough, especially those who discontinued chemotherapy or immunotherapy. When medical institution resumes work, priority should be given to them. At the same time, mental health problems of patients should be valued and resolved timely.</text>
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                <text>2020</text>
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            <name>Subject</name>
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                <text>Mental health, Lung neoplasms, novel coronavirus pneumonia</text>
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                <text>DOI: 10.3779/j.issn.1009-3419.2020.101.18</text>
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                <text>Chinese Journal of Lung Cancer</text>
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                <text>Chinese Anti-Cancer Association; Chinese Antituberculosis Association</text>
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            <name>Coverage</name>
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                <text>Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Case Report: Opportunities for Treatment of Severe COVID-19 Patients—Lessons From a Death Case</text>
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                <text>Yan Wang, Zhuo Niu, Zhuo Niu, Jia-Lin Peng, Hui-Sheng Wang, Ke Zhang</text>
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                <text>With the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, the incidence of coronavirus disease (COVID-19) increases each day. To date, there is no specific anti-SARS-CoV-2 drug. The usual approach to treating COVID-19 is treating its symptoms. However, this approach is limited by the different conditions of each area. We treated a 57-year-old man who was initially diagnosed with a severe type of the infection, but he progressed to a critical condition and eventually died. We learned valuable lessons from this case. The first lesson is the need to use immediate invasive mechanical ventilation if there is no obvious improvement after using non-invasive ventilation for several hours, which directly affects the prognosis. Another lesson is the risk involved in transferring severe COVID-19 patients. In the process of transfer, various threats may be encountered at any time. Thus, accurate assessment of the patient's condition and strict medical conditions are highly required. During the patient's 25-day treatment, we performed cardiopulmonary resuscitation twice. Currently, many patients require invasive mechanical ventilation and transfer to a superior hospital. We hope our findings will provide some advice and help for treating severe and critical COVID-19 cases.</text>
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                <text>2020</text>
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                <text>covid-19, severe, treatment, SARS-CoV-2, rescue</text>
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                <text>10.3389/fmed.2020.00533</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine (General)</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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                  <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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                <text>Clinical Management of Lung Cancer Patients during the Outbreak of 2019 Novel Coronavirus Disease (COVID-19)</text>
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              <elementText elementTextId="28580">
                <text>Yan Xu, Hongsheng Liu, Ke Hu, Mengzhao WANG</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Since late December 2019, an outbreak of 2019 novel coronavirus disease (COVID-19) in Wuhan, China has spread quickly nationwide. With the spread of COVID-19, the routine clinical diagnosis and treatment for lung cancer patients has been disturbed. Due to the systemic immunosuppressive of lung cancer patients caused by the malignancy and anticancer treatments, lung cancer patients are more susceptible to infection than healthy individuals. Furthermore, patients with cancer had poorer prognosis from infection. Lung cancer patients should be the priority group for COVID-19 prevention. The protection provisions and control measures aiming to protect lung cancer patients from COVID-19 have been increasingly concerned. During the COVID-19 outbreak period, it should be carefully differentiated for fever and respiratory symptoms for lung cancer patients receiving anti-tumor treatment, in order to evaluate the risk of COVID-19. Moreover, it is necessary to carry out meticulous and individualized clinical management for lung cancer patients to effectively protect the patients from COVID-19.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2020</text>
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                <text>Lung neoplasms, patient management, 2019 novel coronavirus disease</text>
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            <name>Identifier</name>
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                <text>DOI: 10.3779/j.issn.1009-3419.2020.03.02</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="28585">
                <text>Chinese Journal of Lung Cancer</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Chinese Anti-Cancer Association; Chinese Antituberculosis Association</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="28587">
                <text>Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>DPP-4 inhibitors may improve the mortality of coronavirus disease 2019: A meta-analysis.</text>
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                <text>Yan Yang, Zixin Cai, Jingjing Zhang</text>
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                <text>DPP-4 inhibitors are predicted to exert a protective effect on the progression of coronavirus disease 2019 (COVID-19). We conducted this meta-analysis to investigate this hypothesis. Four databases, namely, PubMed, Web of Science, EMBASE and the Cochrane Library, were used to identify studies on DPP-4 and COVID-19. The outcome indicators were the mortality of COVID-19. Funnel plots, Begg's tests and Egger's tests were used to assess publication bias. Four articles were included with a total of 1933 patients with COVID-19 and type 2 diabetes. The use of DPP-4 inhibitors was negatively associated with the risk of mortality (odds ratio (OR) = 0.58 95% confidence interval (CI), 0.34-0.99). DPP-4 inhibitors may improve the mortality of patients with COVID-19 and type 2 diabetes. As few relevant studies are available, more large-scale studies need to be performed.</text>
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                <text>10.1371/journal.pone.0251916</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>Porcine Coronavirus HKU15 Detected in 9 US States, 2014</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Yan Zhang, Leyi Wang, Beverly Byrum</text>
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                <text>2014</text>
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                <text>DOI: 10.3201/eid2009.140756</text>
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                <text>Emerging Infectious Diseases</text>
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                <text>Centers for Disease Control and Prevention</text>
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                <text>Infectious and parasitic diseases, Medicine</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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          <element elementId="50">
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                <text>Negative Appraisals of the COVID-19 Social Impact Associated With the Improvement of Depression and Anxiety in Patients After COVID-19 Recovery</text>
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                <text>Yan Zhang, Mi Wang, Yumeng Ju, Mei Liao, Bangshan Liu, WenTao Chen, Wentao Chen, Yumeng Ju, Bangshan Liu, Mei Huang, Mei Huang, Aiping Yang, Yun Zhou, Mi Wang, Mei Liao, Kongliang Shu, Jiyang Liu, Yan Zhang</text>
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                <text>Objective: Little is known about the factors affecting the recovery of mental health in COVID-19 patients. The purpose of this study is to look into the change of psychological distress and to explore the role of negative appraisals in the improvement of psychological distress in COVID-19 patients after they recovered from the infection.Methods: We conducted a longitudinal survey on patients with COVID-19 infection in Changsha. The 9-item Patient Health scale, the 7-item Generalized Anxiety Disorder scale, and a newly developed measure, the COVID-19 Impact Scale (CIS) were applied to assess patients' depression, anxiety, and negative appraisal toward COVID-19 infection during their hospitalization and 1 month post-discharge.Results: Seventy-two patients were included in the analysis. A significant decrease in anxiety and depression levels was observed after patients were discharged from hospital. Two meaningful factors of the CIS were extracted based on factor analysis, namely “health impact,” and “social impact.” The change of social impact explained the 12.7 and 10.5% variance in the depression and anxiety symptom improvement, respectively.Conclusions: Change in negative appraisals, especially the appraisals related to COVID-19 social impact may play a vital role in the relief of psychological distress of infected patients. Therefore, a cognitive and social care perspective might be considered when promoting the mental health recovery and readjustment to society among COVID-19 patients.</text>
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                <text>2021</text>
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            <name>Subject</name>
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                <text>Anxiety, mental health, Coronavirus disease 2019, Depression, Psychology, Patients</text>
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            <name>Identifier</name>
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              <elementText elementTextId="64020">
                <text>10.3389/fpsyt.2021.585537</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="64022">
                <text>Korean Society of Epidemiology</text>
              </elementText>
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                <text>Psychiatry</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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      <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>Single endemic genotype of measles virus continuously circulating in China for at least 16 years.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="1256">
                <text>Yan Zhang, Song-Tao Xu, Hui-Ling Wang, Zhen Zhu, Yixin Ji, Chunyu Liu, Xiaojie Zhang, Li-Wei Sun, Jian-Hui Zhou, Peishan Lu, Ying Hu, Daxing Feng, Zhenying Zhang, Changyin Wang, Xueqiang Fang, Huanying Zheng, Leng Liu, Xiaodong Sun, Wei Tang, Yan Wang, Yan LIU, Hui Gao, Hong Tian, Jiangtao Ma, Suyi Gu, Shuang Wang, Yan Feng, Fang Bo, Jianfeng Liu, Yuan Si, Shujie Zhou, Yu-Yan Ma, Shengwei Wu, Shunde Zhou, FANG Caili, Zhengrong Ding, Zhao-hui YANG, Paul A. Rota, David Featherstone, Youngmee Jee, William J. Bellini, Wenbo Xu</text>
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            <description>An account of the resource</description>
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                <text>The incidence of measles in China from 1991 to 2008 was reviewed, and the nucleotide sequences from 1507 measles viruses (MeV) isolated during 1993 to 2008 were phylogenetically analyzed. The results showed that measles epidemics peaked approximately every 3 to 5 years with the range of measles cases detected between 56,850 and 140,048 per year. The Chinese MeV strains represented three genotypes; 1501 H1, 1 H2 and 5 A. Genotype H1 was the predominant genotype throughout China continuously circulating for at least 16 years. Genotype H1 sequences could be divided into two distinct clusters, H1a and H1b. A 4.2% average nucleotide divergence was found between the H1a and H1b clusters, and the nucleotide sequence and predicted amino acid homologies of H1a viruses were 92.3%-100% and 84.7%-100%, H1b were 97.1%-100% and 95.3%-100%, respectively. Viruses from both clusters were distributed throughout China with no apparent geographic restriction and multiple co-circulating lineages were present in many provinces. Cluster H1a and H1b viruses were co-circulating during 1993 to 2005, while no H1b viruses were detected after 2005 and the transmission of that cluster has presumably been interrupted. Analysis of the nucleotide and predicted amino acid changes in the N proteins of H1a and H1b viruses showed no evidence of selective pressure. This study investigated the genotype and cluster distribution of MeV in China over a 16-year period to establish a genetic baseline before MeV elimination in Western Pacific Region (WPR). Continuous and extensive MeV surveillance and the ability to quickly identify imported cases of measles will become more critical as measles elimination goals are achieved in China in the near future. This is the first report that a single endemic genotype of measles virus has been found to be continuously circulating in one country for at least 16 years.</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>2012</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="1259">
                <text>DOI: 10.1371/journal.pone.0034401</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="1260">
                <text>PLoS ONE</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="1261">
                <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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                <text>Science, Medicine</text>
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                <text>EN</text>
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  <item itemId="3768" public="1" featured="0">
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        <src>https://socictopen.socict.org/files/original/fabd2f2ca9160a449b2a0c52f327c0a7.pdf</src>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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      </elementSetContainer>
    </collection>
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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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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="34646">
                <text>A Novel Scoring System for Prediction of Disease Severity in COVID-19</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34647">
                <text>Yan Zhao, Chi Zhang, Qi Wang, Xuemei Li, Ling Qin, Bin Xu, Yonghong Zhang, Ying-Mei Feng, Kang Li, Ronghua Jin, Jian-Ping Sun, Yanchao Dai, Tao Dong, Lian-Chun Liang, Zhongjie Hu, Haiping Xiang</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="34648">
                <text>Background: A novel enveloped RNA beta coronavirus, Corona Virus Disease 2019 (COVID-19) caused severe and even fetal pneumonia in China and other countries from December 2019. Early detection of severe patients with COVID-19 is of great significance to shorten the disease course and reduce mortality.Methods: We assembled a retrospective cohort of 80 patients (including 56 mild and 24 severe) with COVID-19 infection treated at Beijing You'an Hospital. We used univariable and multivariable logistic regression analyses to select the risk factors of severe and even fetal pneumonia and build scoring system for prediction, which was validated later on in a group of 22 COVID-19 patients.Results: Age, white blood cell count, neutrophil, glomerular filtration rate, and myoglobin were selected by multivariate analysis as candidates of scoring system for prediction of disease severity in COVID-19. The scoring system was applied to calculate the predictive value and found that the percentage of ICU admission (20%, 6/30) and ventilation (16.7%, 5/30) in patients with high risk was much higher than those (2%, 1/50; 2%, 1/50) in patients with low risk (p = 0.009; p = 0.026). The AUC of scoring system was 0.906, sensitivity of prediction is 70.8%, and the specificity is 89.3%. According to scoring system, the probability of patients in high risk group developing severe disease was 20.24 times than that in low risk group.Conclusions: The possibility of severity in COVID-19 infection predicted by scoring system could help patients to receiving different therapy strategies at a very early stage.Topic: COVID-19, severe and fetal pneumonia, logistic regression, scoring system, prediction.</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>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="34650">
                <text>Logistic regression, retrospective cohort, COVID-19, severity pneumonia, prediction scoring system</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="34651">
                <text>DOI: 10.3389/fcimb.2020.00318</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="34652">
                <text>Frontiers in Cellular and Infection Microbiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="34653">
                <text>Frontiers Media S.A.</text>
              </elementText>
            </elementTextContainer>
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          <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="34654">
                <text>Microbiology</text>
              </elementText>
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  <item itemId="7196" public="1" featured="0">
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            <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="63301">
                <text>Epidemiologic characteristics and double-buffered strategy for patients in orthopedic surgery during the novel coronavirus outbreak: Wuhan’s experience</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="63302">
                <text>Yan Zhou, Jianghua Ming, Shiqing Liu</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="63303">
                <text>Abstract Background The purpose of this article is to summarize the epidemiologic characteristics and double-buffered strategy for patients in orthopedic surgery during the COVID-19 outbreak in Wuhan, China, based on our own experience in our hospital. Methods A retrospective and comparative study was performed to identify all inpatients at our clinic from February 17 to April 20, 2020 (epidemic group), and from February 17 to April 20, 2019 (control group). Epidemiologic characteristics, screening effect, perioperative complications, and nosocomial infection were analyzed. Results In the epidemic group, 82 patients were identified, a decrease by 76.0% than the 342 patients in the same period in the 2019. Patients in the epidemic group (54.6 ± 20.2 years) were older than those in the control group (49.6 ± 22.5 years). For the epidemic group, the proportion rates of traumatic factures (69.5%) and low-energy injuries (86.0%) were higher than that in the control group, respectively (35.4% and 37.2%). The preoperative waiting time (7.0 ± 2.6 days) in the epidemic group was longer than that in the control group (4.5 ± 2.1 days). The postoperative complication rate (12.2%) in the epidemic group was higher than that in the control group (3.5%). No nosocomial infection of orthopedic staff and patients with COVID-19 was noted in the epidemic group. Conclusion During the COVID-19 outbreak in Wuhan, China, orthopedic inpatients showed unique epidemiological characteristics. The double-buffered strategy could effectively avoid nosocomial infections among medical staff and patients. Doctors should fully evaluate the perioperative risks and complications.</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="63304">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="63305">
                <text>Infection control, Viral pneumonia, Novel coronavirus-2019, fracture, Diagnosis and treatment mode</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="63306">
                <text>10.1186/s40001-021-00510-0</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="63307">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="63308">
                <text>Universidade Federal de Santa Catarina</text>
              </elementText>
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          </element>
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                <text>Medicine</text>
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                <text>Yan-wei Sun, Xianzhu Xia, Meng Yu, Shengwang Liu, Hua Xiang, Jinding Chen, Gary Crameri, Lin-Fa Wang, Xiangang Kong, Changchun Tu, Yunwen Hu, Bryan T. Eaton, Hua Xuan, Yedong Yu</text>
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                <text>Using three different assays, we examined 103 serum samples collected from different civet farms and a market in China in June 2003 and January 2004. While civets on farms were largely free from SARS-CoV infection, ≈80% of the animals from one animal market in Guangzhou contained significant levels of antibody to SARS-CoV, which suggests no widespread infection among civets resident on farms, and the infection of civets in the market might be associated with trading activities under the conditions of overcrowding and mixing of various animal species.</text>
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                <text>China, Antibodies, dispatch, SARS-CoV, civets</text>
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                <text>DOI: 10.3201/eid1012.040520</text>
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                <text>Emerging Infectious Diseases</text>
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                <text>Centers for Disease Control and Prevention</text>
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                <text>Infectious and parasitic diseases, Medicine</text>
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