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                <text>The coronavirus disease 2019 (COVID-19) has spread rapidly worldwide and leads to high morbidity and mortality. Clinical experience regarding the surgical management in COVID-19 patients is limited. We report the interdisciplinary approach in a COVID-19 patient with severe thoracic trauma and pulmonary symptoms, who was admitted to the emergency unit after blunt chest trauma with dislocated serial rib fractures and concomitant hemothorax.</text>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>coronavirus, pneumonia, Hemothorax, Rib fracture, Rib osteosynthesis</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.1007/s00113-021-00962-3</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Der Unfallchirurg</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>Title</name>
            <description>A name given to the resource</description>
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                <text>Impact of COVID-19 pandemic on EJI and the extended immunological community.</text>
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            <name>Creator</name>
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                <text>James Di Santo</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="74583">
                <text>2021</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="74584">
                <text>10.1002/eji.202170016</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="74585">
                <text>European journal of immunology</text>
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        <src>https://www.socictopen.socict.org/files/original/c0be34798f1f4252905c96f8bef3d8ad.pdf</src>
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            <element elementId="50">
              <name>Title</name>
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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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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="74586">
                <text>Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining: Large-scale Cross-sectional Study</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="74587">
                <text>Zhang, Chunyan, Xu, Songhua, Li, Zongfang, Hu, Shunxu</text>
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                <text>BackgroundSince the beginning of the COVID-19 pandemic in late 2019, its far-reaching impacts have been witnessed globally across all aspects of human life, such as health, economy, politics, and education. Such widely penetrating impacts cast significant and profound burdens on all population groups, incurring varied concerns and sentiments among them.             ObjectiveThis study aims to identify the concerns, sentiments, and disparities of various population groups during the COVID-19 pandemic through a cross-sectional study conducted via large-scale Twitter data mining infoveillance.             MethodsThis study consisted of three steps: first, tweets posted during the pandemic were collected and preprocessed on a large scale; second, the key population attributes, concerns, sentiments, and emotions were extracted via a collection of natural language processing procedures; third, multiple analyses were conducted to reveal concerns, sentiments, and disparities among population groups during the pandemic. Overall, this study implemented a quick, effective, and economical approach for analyzing population-level disparities during a public health event. The source code developed in this study was released for free public use at GitHub.             ResultsA total of 1,015,655 original English tweets posted from August 7 to 12, 2020, were acquired and analyzed to obtain the following results. Organizations were significantly more concerned about COVID-19 (odds ratio [OR] 3.48, 95% CI 3.39-3.58) and expressed more fear and depression emotions than individuals. Females were less concerned about COVID-19 (OR 0.73, 95% CI 0.71-0.75) and expressed less fear and depression emotions than males. Among all age groups (ie, ≤18, 19-29, 30-39, and ≥40 years of age), the attention ORs of COVID-19 fear and depression increased significantly with age. It is worth noting that not all females paid less attention to COVID-19 than males. In the age group of 40 years or older, females were more concerned than males, especially regarding the economic and education topics. In addition, males 40 years or older and 18 years or younger were the least positive. Lastly, in all sentiment analyses, the sentiment polarities regarding political topics were always the lowest among the five topics of concern across all population groups.             ConclusionsThrough large-scale Twitter data mining, this study revealed that meaningful differences regarding concerns and sentiments about COVID-19-related topics existed among population groups during the study period. Therefore, specialized and varied attention and support are needed for different population groups. In addition, the efficient analysis method implemented by our publicly released code can be utilized to dynamically track the evolution of each population group during the pandemic or any other major event for better informed public health research and interventions.</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="74589">
                <text>2021</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="74590">
                <text>10.2196/26482</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="74591">
                <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>Public aspects of medicine, Computer applications to medicine. Medical informatics</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <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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      <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>Impact of influenza vaccination on the risk of SARS-CoV-2 infection in a middle-aged group of people.</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="74595">
                <text>Andrzej Bozek, Renata Kozłowska, Beata Galuszka, Alicja Grzanka</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="74596">
                <text>Aims: An observational study of a retrospective cohort was performed to assess the impact of influenza vaccination (IV) on the risk of SARS-CoV-2 infection in a population of middle-aged people for 8 weeks after IV and compared with an unvaccinated group.Patients and methods: Data from 1098 middle-aged patients (53.7 ± 4.7 years) after IV and 1205 unvaccinated patients (50.1 ± 6.8 years) were analyzed based on medical documentation. The inclusion criteria were age between 40 - 60 years and IV in the period from 1-30 September 2020. The incidence of infection with SARS-CoV-2 was confirmed by PCR and the classification of ICD-10 (U07.1).Results and conclusions: After IV, patients had significantly fewer SARS-CoV-2 infections than the unvaccinated patients (P = .017). The hazard ratio was 0.74 (95% CI: 0.54-0.89). IV may partially reduce the risk of SARS-CoV-2 infection.</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="74597">
                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="74598">
                <text>influenza, vaccine, SARS-CoV-2, Immunotherapy, Comparative effectiveness</text>
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              <elementText elementTextId="74599">
                <text>10.1080/21645515.2021.1913961</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="74600">
                <text>Human vaccines &amp; immunotherapeutics</text>
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        <src>https://www.socictopen.socict.org/files/original/6b6a6b803c5d915472410e88b63e528a.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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              <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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      <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">
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>[Impact of the SARS-CoV-2 pandemic on the early diagnosis of melanoma].</text>
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            <name>Creator</name>
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              <elementText elementTextId="74602">
                <text>María Inés Fernández Canedo, Magdalena de Troya Martín, Francisco Rivas Ruíz</text>
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            <name>Date</name>
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              <elementText elementTextId="74603">
                <text>2021</text>
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            <name>Identifier</name>
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              <elementText elementTextId="74604">
                <text>10.1016/j.medcli.2020.12.011</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="74605">
                <text>Medicina clinica</text>
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